A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams
Dynamic monitoring data plays an essential role in the structural health monitoring of dams. This study presents a surrogate-assisted stochastic optimization inversion (SASOI) algorithm, a novel technique for static and dynamic parameter identification. This algorithm is based on probabilistic finit...
Uloženo v:
| Vydáno v: | Advanced engineering informatics Ročník 55; s. 101853 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.01.2023
|
| Témata: | |
| ISSN: | 1474-0346, 1873-5320 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Dynamic monitoring data plays an essential role in the structural health monitoring of dams. This study presents a surrogate-assisted stochastic optimization inversion (SASOI) algorithm, a novel technique for static and dynamic parameter identification. This algorithm is based on probabilistic finite element simulations and Bayesian inference theory. It combines the advantages of low computational cost in surrogate models and fast convergence in the Bayesian algorithm. Taking four cases of different complexity, this paper verifies the effectiveness of the SASOI algorithm and validates its practicality for large dams. Surrogate models consider several alternatives, including polynomial chaos expansion (PCE), Kriging, polynomial chaos Kriging, and support vector regression. Implementation of the SASOI algorithm on dams shows that PCE outperforms other techniques. This algorithm improves the accuracy and efficiency of the static parameter identification methods by nearly 27 times compared to the classical inversion methods. Furthermore, the accuracy of dynamic parameter identification is higher than that of static one. The SASOI algorithm is applicable to other large-scale infrastructures. |
|---|---|
| AbstractList | Dynamic monitoring data plays an essential role in the structural health monitoring of dams. This study presents a surrogate-assisted stochastic optimization inversion (SASOI) algorithm, a novel technique for static and dynamic parameter identification. This algorithm is based on probabilistic finite element simulations and Bayesian inference theory. It combines the advantages of low computational cost in surrogate models and fast convergence in the Bayesian algorithm. Taking four cases of different complexity, this paper verifies the effectiveness of the SASOI algorithm and validates its practicality for large dams. Surrogate models consider several alternatives, including polynomial chaos expansion (PCE), Kriging, polynomial chaos Kriging, and support vector regression. Implementation of the SASOI algorithm on dams shows that PCE outperforms other techniques. This algorithm improves the accuracy and efficiency of the static parameter identification methods by nearly 27 times compared to the classical inversion methods. Furthermore, the accuracy of dynamic parameter identification is higher than that of static one. The SASOI algorithm is applicable to other large-scale infrastructures. |
| ArticleNumber | 101853 |
| Author | Wei, QingYang Li, YiFei Hariri-Ardebili, M. Amin Cao, MaoSen Deng, TongFa |
| Author_xml | – sequence: 1 givenname: YiFei surname: Li fullname: Li, YiFei organization: Department of Engineering Mechanics, Hohai University, Nanjing, China – sequence: 2 givenname: M. Amin orcidid: 0000-0001-6772-1468 surname: Hariri-Ardebili fullname: Hariri-Ardebili, M. Amin email: hariri@umd.edu organization: Department of Civil, Environmental and Architectural Engineering, University of Colorado, Boulder, CO, USA – sequence: 3 givenname: TongFa surname: Deng fullname: Deng, TongFa organization: Jiangxi Province Key Laboratory of Environmental Geotechnical Engineering and Hazards Control, Jiangxi University of Science and Technology, Ganzhou, China – sequence: 4 givenname: QingYang surname: Wei fullname: Wei, QingYang organization: Department of Engineering Mechanics, Hohai University, Nanjing, China – sequence: 5 givenname: MaoSen surname: Cao fullname: Cao, MaoSen email: cmszhy@hhu.edu.cn organization: Jiangxi Province Key Laboratory of Environmental Geotechnical Engineering and Hazards Control, Jiangxi University of Science and Technology, Ganzhou, China |
| BookMark | eNp9kE1PwzAMhiM0JDbgB3DrH-hIk6UfcJomvqRJcIBz5KbO5mltpiRMgl9PSzlx2MmvJT-W_czYpHMdMnaT8XnGs_x2NwekueBCDH2p5BmbZmUhUyUFn_R5USxSLhf5BZuFsOM9U1bFlNXLJHx67zYQMYUQKERskhCd2UKIZBJ3iNTSN0RyXULdEX0YEuw3zlPctnfJG3hoMaJPqMEukiUzTjubNNCGK3ZuYR_w-q9eso_Hh_fVc7p-fXpZLdepEVURU1Vl3IjGFnUtQBVVXXGhJFowpsktRyhB1cYWkEkUtpSGg6yUFQryulJSyktWjHuNdyF4tNpQ_L0keqC9zrgeVOmd7lXpQZUeVfVk9o88eGrBf51k7kcG-5eOhF4HQ9gZbMijibpxdIL-AZJghmg |
| CitedBy_id | crossref_primary_10_1088_1361_665X_acc9f0 crossref_primary_10_1111_mice_13141 crossref_primary_10_1016_j_aei_2025_103552 crossref_primary_10_1016_j_engfailanal_2023_107646 crossref_primary_10_3390_jmse12060898 crossref_primary_10_1016_j_oceaneng_2024_117420 crossref_primary_10_1016_j_istruc_2024_105956 crossref_primary_10_1016_j_aei_2024_102535 crossref_primary_10_1016_j_ymssp_2023_110986 crossref_primary_10_1016_j_aei_2023_102016 crossref_primary_10_1016_j_aei_2025_103559 crossref_primary_10_1016_j_compgeo_2024_106323 crossref_primary_10_1016_j_aei_2025_103716 crossref_primary_10_3390_app13042086 crossref_primary_10_1016_j_dibe_2025_100692 crossref_primary_10_1061_IJGNAI_GMENG_9884 crossref_primary_10_1080_19386362_2023_2212996 crossref_primary_10_1016_j_jrmge_2024_11_002 crossref_primary_10_1155_2023_4101604 crossref_primary_10_1016_j_engstruct_2023_115891 crossref_primary_10_1016_j_istruc_2025_110035 crossref_primary_10_1002_eng2_70030 crossref_primary_10_3390_pr11030835 crossref_primary_10_3389_feart_2023_1125691 crossref_primary_10_21595_jme_2025_24915 crossref_primary_10_3389_fbuil_2024_1452415 crossref_primary_10_3390_app131910865 crossref_primary_10_1017_dce_2025_17 crossref_primary_10_1016_j_istruc_2025_108285 crossref_primary_10_1016_j_compgeo_2025_107174 crossref_primary_10_1108_EC_10_2023_0719 crossref_primary_10_1038_s41598_023_38590_z crossref_primary_10_1007_s11044_023_09950_4 crossref_primary_10_1177_14759217251341527 crossref_primary_10_1016_j_istruc_2024_107605 crossref_primary_10_1016_j_istruc_2024_105964 crossref_primary_10_1016_j_engappai_2023_106813 crossref_primary_10_1016_j_soildyn_2025_109735 crossref_primary_10_1016_j_compstruc_2023_107018 crossref_primary_10_1016_j_oceaneng_2025_122832 crossref_primary_10_1016_j_advengsoft_2023_103515 crossref_primary_10_1016_j_eswa_2023_122797 crossref_primary_10_1016_j_istruc_2023_07_041 crossref_primary_10_1016_j_istruc_2023_06_049 crossref_primary_10_1111_mice_70070 crossref_primary_10_3390_math11051214 |
| Cites_doi | 10.1016/j.engstruct.2018.07.053 10.1016/j.asoc.2021.107524 10.1016/j.strusafe.2014.02.004 10.1007/s00366-016-0483-9 10.1061/(ASCE)ST.1943-541X.0002602 10.1016/j.apm.2020.10.028 10.1029/2011WR011527 10.1016/j.engstruct.2021.113001 10.1016/j.engstruct.2008.04.008 10.1016/j.engstruct.2019.05.072 10.1016/j.probengmech.2013.02.002 10.1016/j.aei.2022.101615 10.1137/S1064827503424505 10.1016/j.ymssp.2017.09.033 10.1016/j.soildyn.2021.106587 10.1016/j.engstruct.2010.08.002 10.1016/j.probengmech.2015.09.007 10.1007/s00521-019-04375-7 10.1002/stc.1767 10.1016/j.ijdrr.2018.07.024 10.1016/j.jcp.2006.10.010 10.3390/w13010087 10.1162/106365601750190398 10.1016/j.compgeo.2007.03.002 10.1002/eqe.493 10.1016/j.compgeo.2019.103411 10.1016/0167-4730(88)90020-3 10.3390/en13143685 10.1029/WR016i001p00033 10.1016/j.apm.2019.02.008 10.1017/S0962492910000061 10.1016/j.ress.2007.04.002 10.1016/j.ress.2012.10.008 10.1016/j.ress.2022.108402 10.1007/s00158-006-0606-9 10.1007/s10064-020-01847-2 10.1061/9780784413609.257 10.1016/j.engstruct.2006.04.022 10.1016/j.advengsoft.2019.02.005 10.1002/eqe.575 10.1016/S0893-6080(03)00169-2 10.1016/j.aei.2021.101348 10.1016/j.probengmech.2009.10.003 10.1016/j.engstruct.2019.109631 10.3390/w13131830 10.3390/w13030302 10.1016/S1365-1609(00)00077-0 10.1016/j.strusafe.2006.07.015 10.1080/15732470500030513 10.1214/009053604000000067 10.1016/j.jcp.2015.01.034 10.1080/0305215X.2017.1409348 10.1016/j.swevo.2011.05.001 10.3390/app9204366 10.1016/j.soildyn.2017.09.016 10.1007/s00500-018-3528-8 10.1137/16M1103488 10.1108/EC-03-2017-0110 10.2307/2371268 10.1016/j.cma.2018.03.020 10.1016/j.engstruct.2022.113999 10.1016/j.ymssp.2010.08.014 10.1115/1.4004479 10.1177/14759217211069639 10.1615/Int.J.UncertaintyQuantification.2015012467 10.1109/TAC.1986.1104412 10.1016/j.engstruct.2022.114190 |
| ContentType | Journal Article |
| Copyright | 2022 Elsevier Ltd |
| Copyright_xml | – notice: 2022 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.aei.2022.101853 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Applied Sciences |
| EISSN | 1873-5320 |
| ExternalDocumentID | 10_1016_j_aei_2022_101853 S1474034622003111 |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ AAAKF AAAKG AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARIN AAXUO AAYFN ABBOA ABFNM ABMAC ABUCO ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD APLSM AXJTR BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HAMUX HVGLF HZ~ IHE J1W JJJVA KOM M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 PC. Q38 RIG RNS ROL RPZ SDF SDG SDP SES SEW SPC SPCBC SSB SSD SST SSV SSZ T5K UHS XPP ZMT ~G- 9DU AATTM AAXKI AAYWO AAYXX ABJNI ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c297t-5910c2df7bb2a579b90253efaccd6f0ea8a5bcf7a13e2f83c0a395f25a6b95333 |
| ISICitedReferencesCount | 52 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000914954500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1474-0346 |
| IngestDate | Sat Nov 29 07:04:47 EST 2025 Tue Nov 18 22:01:41 EST 2025 Fri Feb 23 02:38:16 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Surrogate model Stochastic optimization inversion Concrete dams Parameters identification |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c297t-5910c2df7bb2a579b90253efaccd6f0ea8a5bcf7a13e2f83c0a395f25a6b95333 |
| ORCID | 0000-0001-6772-1468 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_aei_2022_101853 crossref_primary_10_1016_j_aei_2022_101853 elsevier_sciencedirect_doi_10_1016_j_aei_2022_101853 |
| PublicationCentury | 2000 |
| PublicationDate | January 2023 2023-01-00 |
| PublicationDateYYYYMMDD | 2023-01-01 |
| PublicationDate_xml | – month: 01 year: 2023 text: January 2023 |
| PublicationDecade | 2020 |
| PublicationTitle | Advanced engineering informatics |
| PublicationYear | 2023 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Fengjie, Lahmer (b27) 2018; 50 Lin, Simpson, Chen (b83) 2001; 2 Hariri-Ardebili (b1) 2018; 31 Alves, Hall (b7) 2006; 35 Neuman, Fogg, Jacobson (b8) 1980; 16 Guo, Sun, Dias, Antoinet (b19) 2020; 79 Diaz, Doostan, Hampton (b82) 2018; 336 Hariri-Ardebili, Pourkamali-Anaraki (b36) 2018; 104 Hariri-Ardebili, Chen, Mahdavi (b85) 2022; 52 Blatman, Sudret (b75) 2010; 25 Efron, Hastie, Johnstone, Tibshirani (b56) 2004; 32 Stuart (b69) 2010; 19 Nagel, Sudret (b70) 2016; 43 Deng, Lee (b6) 2001; 38 Tabari, Sanayei (b34) 2019; 23 Hariri-Ardebili, Boodagh (b74) 2018 Cheng, Lu, Ling, Zhou (b53) 2020 Lataniotis, Wicaksono, Marelli, Sudret (b60) 2019 Sevieri, De Falco, Andreini, Matthies (b26) 2021; 246 Hariri-Ardebili, Mahdavi, Abdollahi, Amini (b25) 2021; 13 Yuen, Kuok (b68) 2011; 64 Segura Jr., Sattar, Hariri-Ardebili (b72) 2022; 119 Su, Wen, Gu (b31) 2006 Salazar, Hariri-Ardebili (b86) 2022; 260 Kalinina, Spada, Vetsch, Marelli, Whealton, Burgherr, Sudret (b23) 2020; 13 Lin, Li, Chen, Liu, Lin, Liang (b37) 2019; 31 Chen, Wu, Liang, Dou (b35) 2017; 2017 Lataniotis, Marelli, Sudret (b61) 2017 Sudret (b16) 2008; 93 De Sortis, Paoliani (b2) 2007; 29 Kang, Wu, Li, Li (b50) 2021; 49 Dubourg, Sudret, Deheeger (b59) 2013; 33 Echard, Gayton, Lemaire, Relun (b73) 2013; 111 Ranković, Grujović, Divac, Milivojević (b33) 2014; 48 Schobi, Sudret, Wiart (b64) 2015; 5 Ren, Li, Bai, Shen (b39) 2022 Wang, Zhao, Liu, Chen, Ma (b28) 2019; 9 Tsitsiklis, Bertsekas, Athans (b9) 1986; 31 Bucher (b81) 1988; 5 Zhou, Zhang, Pang, Xu (b38) 2021; 144 Yu, Zhang, Yuan (b5) 2007; 34 Sevieri, Andreini, De Falco, Matthies (b10) 2019; 196 Yang, Su, Wen (b43) 2019; 131 Su, Li, Wu (b40) 2007; 10 Uchita, Shimpo, Saouma (b80) 2005; 34 Liu, Gu, Chen (b46) 2017; 33 Amini, Abdollahi, Hariri-Ardebili, Lall (b21) 2021 Wiener (b52) 1938; 60 Marzouk, Najm, Rahn (b67) 2007; 224 Jin (b15) 2011; 1 Guo, Dias, Carvajal, Peyras, Breul (b18) 2018; 174 Chen, Gu, Wu, Shao, Wu, Dai (b42) 2019; 2019 Shahzadi, Soulaïmani (b24) 2021; 13 Vu, Thomas, Lakis, Marcouiller (b48) 2011; 25 Fajraoui, Marelli, Sudret (b55) 2017; 5 Su, Chen, Wen (b32) 2016; 23 Chen, Gu, Lin, Hariri-Ardebili (b84) 2021; 91 Dou, Li, Kang (b4) 2017; 34 Bae, Grandhi, Canfield (b11) 2006; 31 Wang, Liu, Ma (b29) 2021; 13 Li, Wang, Wei, Zhong, Zhan (b49) 2019; 71 P. Wagner, J. Nagel, S. Marelli, B. Sudret, UQLab user manual–Bayesian inference for model calibration and inverse problems, Report No. UQLab-V1, 2019, pp. 3–113. Guo, Dias (b22) 2020; 120 Fedele, Maier, Miller (b44) 2005; 1 S. Marelli, B. Sudret, UQLab: A framework for uncertainty quantification in Matlab, in: Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management, 2014, pp. 2554–2563. Vapnik (b65) 2013 Ardito, Maier, Massalongo (b3) 2008; 30 Sacks, Welch, Mitchell, Wynn (b57) 1989 Ghanem, Saad, Doostan (b17) 2007; 29 Razavi, Tolson, Burn (b14) 2012; 48 Abdollahi, Amini, Hariri-Ardebili (b30) 2022 Frazier (b13) 2018 (b78) 2017 Liu, Wenbo, Wang, Linmei, Chen (b51) 2022 Soize, Ghanem (b54) 2004; 26 Cherkassky, Ma (b66) 2004; 17 Shi, Qiao (b79) 2018; 103 Santner, Williams, Notz, Williams (b58) 2003 Bao, Li, Lu, Gu (b47) 2020; 146 Kersaudy, Sudret, Varsier, Picon, Wiart (b63) 2015; 286 Karimi, Khaji, Ahmadi, Mirzayee (b41) 2010; 32 Kang, Liu, Li, Li (b45) 2022; 256 (b77) 2021 Hariri-Ardebili, Sudret (b20) 2020 Pelikan, Goldberg, Cantú-Paz (b12) 1999; 1 Hansen, Ostermeier (b62) 2001; 9 Stuart (10.1016/j.aei.2022.101853_b69) 2010; 19 Echard (10.1016/j.aei.2022.101853_b73) 2013; 111 Uchita (10.1016/j.aei.2022.101853_b80) 2005; 34 Wang (10.1016/j.aei.2022.101853_b28) 2019; 9 Segura Jr. (10.1016/j.aei.2022.101853_b72) 2022; 119 Hariri-Ardebili (10.1016/j.aei.2022.101853_b85) 2022; 52 Tabari (10.1016/j.aei.2022.101853_b34) 2019; 23 Chen (10.1016/j.aei.2022.101853_b84) 2021; 91 Alves (10.1016/j.aei.2022.101853_b7) 2006; 35 Hariri-Ardebili (10.1016/j.aei.2022.101853_b25) 2021; 13 Hansen (10.1016/j.aei.2022.101853_b62) 2001; 9 Lataniotis (10.1016/j.aei.2022.101853_b61) 2017 Amini (10.1016/j.aei.2022.101853_b21) 2021 Cheng (10.1016/j.aei.2022.101853_b53) 2020 Marzouk (10.1016/j.aei.2022.101853_b67) 2007; 224 Sacks (10.1016/j.aei.2022.101853_b57) 1989 Tsitsiklis (10.1016/j.aei.2022.101853_b9) 1986; 31 Vapnik (10.1016/j.aei.2022.101853_b65) 2013 Kang (10.1016/j.aei.2022.101853_b45) 2022; 256 Su (10.1016/j.aei.2022.101853_b40) 2007; 10 Soize (10.1016/j.aei.2022.101853_b54) 2004; 26 Hariri-Ardebili (10.1016/j.aei.2022.101853_b74) 2018 Chen (10.1016/j.aei.2022.101853_b42) 2019; 2019 Pelikan (10.1016/j.aei.2022.101853_b12) 1999; 1 Kalinina (10.1016/j.aei.2022.101853_b23) 2020; 13 Deng (10.1016/j.aei.2022.101853_b6) 2001; 38 Sevieri (10.1016/j.aei.2022.101853_b10) 2019; 196 Bucher (10.1016/j.aei.2022.101853_b81) 1988; 5 Diaz (10.1016/j.aei.2022.101853_b82) 2018; 336 Kersaudy (10.1016/j.aei.2022.101853_b63) 2015; 286 Liu (10.1016/j.aei.2022.101853_b46) 2017; 33 Dubourg (10.1016/j.aei.2022.101853_b59) 2013; 33 Sudret (10.1016/j.aei.2022.101853_b16) 2008; 93 Wang (10.1016/j.aei.2022.101853_b29) 2021; 13 Yuen (10.1016/j.aei.2022.101853_b68) 2011; 64 Lin (10.1016/j.aei.2022.101853_b37) 2019; 31 Abdollahi (10.1016/j.aei.2022.101853_b30) 2022 Su (10.1016/j.aei.2022.101853_b31) 2006 Liu (10.1016/j.aei.2022.101853_b51) 2022 Cherkassky (10.1016/j.aei.2022.101853_b66) 2004; 17 Salazar (10.1016/j.aei.2022.101853_b86) 2022; 260 Blatman (10.1016/j.aei.2022.101853_b75) 2010; 25 Razavi (10.1016/j.aei.2022.101853_b14) 2012; 48 Yang (10.1016/j.aei.2022.101853_b43) 2019; 131 Shahzadi (10.1016/j.aei.2022.101853_b24) 2021; 13 Kang (10.1016/j.aei.2022.101853_b50) 2021; 49 Efron (10.1016/j.aei.2022.101853_b56) 2004; 32 Su (10.1016/j.aei.2022.101853_b32) 2016; 23 Ren (10.1016/j.aei.2022.101853_b39) 2022 Neuman (10.1016/j.aei.2022.101853_b8) 1980; 16 Wiener (10.1016/j.aei.2022.101853_b52) 1938; 60 Jin (10.1016/j.aei.2022.101853_b15) 2011; 1 Guo (10.1016/j.aei.2022.101853_b22) 2020; 120 10.1016/j.aei.2022.101853_b76 (10.1016/j.aei.2022.101853_b78) 2017 De Sortis (10.1016/j.aei.2022.101853_b2) 2007; 29 Fajraoui (10.1016/j.aei.2022.101853_b55) 2017; 5 10.1016/j.aei.2022.101853_b71 Ghanem (10.1016/j.aei.2022.101853_b17) 2007; 29 Hariri-Ardebili (10.1016/j.aei.2022.101853_b36) 2018; 104 Karimi (10.1016/j.aei.2022.101853_b41) 2010; 32 Yu (10.1016/j.aei.2022.101853_b5) 2007; 34 Hariri-Ardebili (10.1016/j.aei.2022.101853_b20) 2020 Shi (10.1016/j.aei.2022.101853_b79) 2018; 103 Li (10.1016/j.aei.2022.101853_b49) 2019; 71 Lin (10.1016/j.aei.2022.101853_b83) 2001; 2 Frazier (10.1016/j.aei.2022.101853_b13) 2018 Schobi (10.1016/j.aei.2022.101853_b64) 2015; 5 Dou (10.1016/j.aei.2022.101853_b4) 2017; 34 Guo (10.1016/j.aei.2022.101853_b18) 2018; 174 Fengjie (10.1016/j.aei.2022.101853_b27) 2018; 50 Chen (10.1016/j.aei.2022.101853_b35) 2017; 2017 Vu (10.1016/j.aei.2022.101853_b48) 2011; 25 Guo (10.1016/j.aei.2022.101853_b19) 2020; 79 Santner (10.1016/j.aei.2022.101853_b58) 2003 Lataniotis (10.1016/j.aei.2022.101853_b60) 2019 Bae (10.1016/j.aei.2022.101853_b11) 2006; 31 Ranković (10.1016/j.aei.2022.101853_b33) 2014; 48 Sevieri (10.1016/j.aei.2022.101853_b26) 2021; 246 Hariri-Ardebili (10.1016/j.aei.2022.101853_b1) 2018; 31 (10.1016/j.aei.2022.101853_b77) 2021 Ardito (10.1016/j.aei.2022.101853_b3) 2008; 30 Zhou (10.1016/j.aei.2022.101853_b38) 2021; 144 Bao (10.1016/j.aei.2022.101853_b47) 2020; 146 Fedele (10.1016/j.aei.2022.101853_b44) 2005; 1 Nagel (10.1016/j.aei.2022.101853_b70) 2016; 43 |
| References_xml | – volume: 34 start-page: 2358 year: 2017 end-page: 2378 ident: b4 article-title: Parameter identification of concrete dams using swarm intelligence algorithm publication-title: Eng. Comput. – volume: 9 start-page: 4366 year: 2019 ident: b28 article-title: Shape optimization of single-curvature arch dam based on sequential Kriging-genetic algorithm publication-title: Appl. Sci. – volume: 48 start-page: 33 year: 2014 end-page: 39 ident: b33 article-title: Development of support vector regression identification model for prediction of dam structural behaviour publication-title: Struct. Saf. – volume: 35 start-page: 1321 year: 2006 end-page: 1337 ident: b7 article-title: System identification of a concrete arch dam and calibration of its finite element model publication-title: Earthq. Eng. Struct. Dyn. – volume: 13 start-page: 1830 year: 2021 ident: b24 article-title: Deep neural network and polynomial chaos expansion-based surrogate models for sensitivity and uncertainty propagation: An application to a rockfill dam publication-title: Water – volume: 30 start-page: 3176 year: 2008 end-page: 3185 ident: b3 article-title: Diagnostic analysis of concrete dams based on seasonal hydrostatic loading publication-title: Eng. Struct. – volume: 1 start-page: 165 year: 2005 end-page: 180 ident: b44 article-title: Identification of elastic stiffness and local stresses in concrete dams by in situ tests and neural networks publication-title: Struct. Infrastructure Eng. – year: 2017 ident: b78 article-title: ANSYS software reference manuals, release notes, mechanical APDL, elements reference, commands reference and theory reference, version release 18 – volume: 260 year: 2022 ident: b86 article-title: Coupling machine learning and stochastic finite element to evaluate heterogeneous concrete infrastructure publication-title: Eng. Struct. – volume: 33 start-page: 443 year: 2017 end-page: 456 ident: b46 article-title: Zoned elasticity modulus inversion analysis method of a high arch dam based on unconstrained Lagrange support vector regression (support vector regression arch dam) publication-title: Eng. Comput. – volume: 224 start-page: 560 year: 2007 end-page: 586 ident: b67 article-title: Stochastic spectral methods for efficient Bayesian solution of inverse problems publication-title: J. Comput. Phys. – volume: 29 start-page: 238 year: 2007 end-page: 251 ident: b17 article-title: Efficient solution of stochastic systems: application to the embankment dam problem publication-title: Struct. Saf. – start-page: 1 year: 2018 end-page: 19 ident: b74 article-title: Taguchi design-based seismic reliability analysis of geostructures publication-title: Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards – volume: 103 start-page: 139 year: 2018 end-page: 161 ident: b79 article-title: A new surface fractal dimension for displacement mode shape-based damage identification of plate-type structures publication-title: Mech. Syst. Signal Process. – volume: 93 start-page: 964 year: 2008 end-page: 979 ident: b16 article-title: Global sensitivity analysis using polynomial chaos expansions publication-title: Reliab. Eng. Syst. Saf. – year: 2021 ident: b21 article-title: Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods publication-title: Appl. Soft Comput. – volume: 286 start-page: 103 year: 2015 end-page: 117 ident: b63 article-title: A new surrogate modeling technique combining Kriging and polynomial chaos expansions–Application to uncertainty analysis in computational dosimetry publication-title: J. Comput. Phys. – year: 2003 ident: b58 article-title: The design and analysis of computer experiments – volume: 60 start-page: 897 year: 1938 end-page: 936 ident: b52 article-title: The homogeneous chaos publication-title: Amer. J. Math. – volume: 71 start-page: 60 year: 2019 end-page: 76 ident: b49 article-title: Dynamic inversion method for the material parameters of a high arch dam and its foundation publication-title: Appl. Math. Model. – reference: S. Marelli, B. Sudret, UQLab: A framework for uncertainty quantification in Matlab, in: Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management, 2014, pp. 2554–2563. – volume: 64 year: 2011 ident: b68 article-title: Bayesian methods for updating dynamic models publication-title: Appl. Mech. Rev. – volume: 13 start-page: 302 year: 2021 ident: b25 article-title: An RF-PCE hybrid surrogate model for sensitivity analysis of dams publication-title: Water – volume: 246 year: 2021 ident: b26 article-title: Hierarchical Bayesian framework for uncertainty reduction in the seismic fragility analysis of concrete gravity dams publication-title: Eng. Struct. – volume: 31 start-page: 8503 year: 2019 end-page: 8518 ident: b37 article-title: Gaussian process regression-based forecasting model of dam deformation publication-title: Neural Comput. Appl. – volume: 9 start-page: 159 year: 2001 end-page: 195 ident: b62 article-title: Completely derandomized self-adaptation in evolution strategies publication-title: Evol. Comput. – volume: 13 start-page: 3685 year: 2020 ident: b23 article-title: Metamodeling for uncertainty quantification of a flood wave model for concrete dam breaks publication-title: Energies – reference: P. Wagner, J. Nagel, S. Marelli, B. Sudret, UQLab user manual–Bayesian inference for model calibration and inverse problems, Report No. UQLab-V1, 2019, pp. 3–113. – volume: 256 year: 2022 ident: b45 article-title: Multi-parameter inverse analysis of concrete dams using kernel extreme learning machines-based response surface model publication-title: Eng. Struct. – year: 2022 ident: b30 article-title: An uncertainty–aware dynamic shape optimization framework: Gravity dam design publication-title: Reliab. Eng. Syst. Saf. – start-page: 3455 year: 2006 end-page: 3460 ident: b31 article-title: An early-warning model of dam safety based on rough set theory and support vector machine publication-title: 5th International Conference on Machine Learning and Cybernetics – volume: 336 start-page: 640 year: 2018 end-page: 666 ident: b82 article-title: Sparse polynomial chaos expansions via compressed sensing and D-optimal design publication-title: Comput. Methods Appl. Mech. Engrg. – volume: 23 start-page: 9629 year: 2019 end-page: 9645 ident: b34 article-title: Prediction of the intermediate block displacement of the dam crest using artificial neural network and support vector regression models publication-title: Soft Comput. – volume: 104 start-page: 276 year: 2018 end-page: 295 ident: b36 article-title: Support vector machine based reliability analysis of concrete dams publication-title: Soil Dyn. Earthq. Eng. – volume: 25 start-page: 1028 year: 2011 end-page: 1044 ident: b48 article-title: Operational modal analysis by updating autoregressive model publication-title: Mech. Syst. Signal Process. – volume: 16 start-page: 33 year: 1980 end-page: 58 ident: b8 article-title: A statistical approach to the inverse problem of aquifer hydrology: 2. Case study publication-title: Water Resour. Res. – year: 2022 ident: b51 article-title: Structural parameter inversion of a gravity dam based on the dynamic response induced by an underwater explosion publication-title: J. Vib. Control – volume: 120 year: 2020 ident: b22 article-title: Kriging based reliability and sensitivity analysis–Application to the stability of an earth dam publication-title: Comput. Geotech. – year: 2022 ident: b39 article-title: A multiple-point monitoring model for concrete dam displacements based on correlated multiple-output support vector regression publication-title: Struct. Health Monit. – volume: 79 start-page: 4639 year: 2020 end-page: 4655 ident: b19 article-title: Probabilistic assessment of an earth dam stability design using the adaptive polynomial chaos expansion publication-title: Bull. Eng. Geol. Environ. – volume: 49 year: 2021 ident: b50 article-title: Dynamic parameter inverse analysis of concrete dams based on Jaya algorithm with Gaussian processes surrogate model publication-title: Adv. Eng. Inform. – volume: 31 start-page: 803 year: 1986 end-page: 812 ident: b9 article-title: Distributed asynchronous deterministic and stochastic gradient optimization algorithms publication-title: IEEE Trans. Automat. Control – start-page: 409 year: 1989 end-page: 423 ident: b57 article-title: Design and analysis of computer experiments publication-title: Statist. Sci. – volume: 52 year: 2022 ident: b85 article-title: Machine learning-aided PSDM for dams with stochastic ground motions publication-title: Adv. Eng. Inform. – volume: 31 start-page: 270 year: 2006 end-page: 279 ident: b11 article-title: Sensitivity analysis of structural response uncertainty propagation using evidence theory publication-title: Struct. Multidiscip. Optim. – volume: 5 start-page: 119 year: 1988 end-page: 126 ident: b81 article-title: Adaptive sampling - an iterative fast Monte Carlo procedure publication-title: Struct. Saf. – volume: 25 start-page: 183 year: 2010 end-page: 197 ident: b75 article-title: An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis publication-title: Probab. Eng. Mech. – volume: 196 year: 2019 ident: b10 article-title: Concrete gravity dams model parameters updating using static measurements publication-title: Eng. Struct. – volume: 32 start-page: 407 year: 2004 end-page: 499 ident: b56 article-title: Least angle regression publication-title: Ann. Statist. – year: 2021 ident: b77 article-title: version 9.11 (R2021b) – volume: 2017 year: 2017 ident: b35 article-title: Time-varying identification model for crack monitoring data from concrete dams based on support vector regression and the Bayesian framework publication-title: Math. Probl. Eng. – volume: 5 start-page: 1061 year: 2017 end-page: 1085 ident: b55 article-title: Sequential design of experiment for sparse polynomial chaos expansions publication-title: SIAM/ASA J. Uncertain. Quant. – year: 2019 ident: b60 article-title: UQLab user manual – Kriging (Gaussian process modeling) – volume: 38 start-page: 259 year: 2001 end-page: 268 ident: b6 article-title: Displacement back analysis for a steep slope at the Three Gorges Project site publication-title: Int. J. Rock Mech. Min. Sci. – volume: 2 start-page: 209 year: 2001 end-page: 240 ident: b83 article-title: Sampling strategies for computer experiments: design and analysis publication-title: Int. J. Reliab. Appl. – volume: 91 start-page: 1175 year: 2021 end-page: 1193 ident: b84 article-title: Prediction of arch dam deformation via correlated multi-target stacking publication-title: Appl. Math. Model. – volume: 174 start-page: 295 year: 2018 end-page: 307 ident: b18 article-title: Reliability analysis of embankment dam sliding stability using the sparse polynomial chaos expansion publication-title: Eng. Struct. – volume: 2019 year: 2019 ident: b42 article-title: Inversion modeling of dam-zoning elasticity modulus for heightened concrete dam using ICS-IPSO algorithm publication-title: Math. Probl. Eng. – volume: 29 start-page: 110 year: 2007 end-page: 120 ident: b2 article-title: Statistical analysis and structural identification in concrete dam monitoring publication-title: Eng. Struct. – volume: 144 year: 2021 ident: b38 article-title: Seismic fragility analysis of high concrete faced rockfill dams based on plastic failure with support vector machine publication-title: Soil Dyn. Earthq. Eng. – volume: 5 year: 2015 ident: b64 article-title: Polynomial-chaos-based Kriging publication-title: Int. J. Uncertain. Quantif. – volume: 48 year: 2012 ident: b14 article-title: Review of surrogate modeling in water resources publication-title: Water Resour. Res. – volume: 1 start-page: 61 year: 2011 end-page: 70 ident: b15 article-title: Surrogate-assisted evolutionary computation: Recent advances and future challenges publication-title: Swarm Evol. Comput. – volume: 17 start-page: 113 year: 2004 end-page: 126 ident: b66 article-title: Practical selection of SVM parameters and noise estimation for SVM regression publication-title: Neural Netw. – year: 2020 ident: b20 article-title: Polynomial chaos expansion for uncertainty quantification of dam engineering problems publication-title: Eng. Struct. – start-page: 255 year: 2018 end-page: 278 ident: b13 article-title: Bayesian optimization publication-title: Recent Advances in Optimization and Modeling of Contemporary Problems – volume: 43 start-page: 68 year: 2016 end-page: 84 ident: b70 article-title: A unified framework for multilevel uncertainty quantification in Bayesian inverse problems publication-title: Probab. Eng. Mech. – volume: 111 start-page: 232 year: 2013 end-page: 240 ident: b73 article-title: A combined importance sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models publication-title: Reliab. Eng. Syst. Saf. – volume: 50 start-page: 1470 year: 2018 end-page: 1482 ident: b27 article-title: Shape optimization based design of arch-type dams under uncertainties publication-title: Eng. Optim. – volume: 13 start-page: 87 year: 2021 ident: b29 article-title: Updated Kriging-assisted shape optimization of a gravity dam publication-title: Water – year: 2013 ident: b65 article-title: The Nature of Statistical Learning Theory – volume: 34 start-page: 1467 year: 2005 end-page: 1487 ident: b80 article-title: Dynamic centrifuge tests of concrete dams publication-title: Earthq. Eng. Struct. Dyn. – volume: 10 year: 2007 ident: b40 article-title: Feedback analysis for mechanical parameters of dam and its foundation with optimization algorithm publication-title: J. Hydraul. Eng.-ASCE – volume: 131 start-page: 205 year: 2019 end-page: 216 ident: b43 article-title: Improved PLS and PSO methods-based back analysis for elastic modulus of dam publication-title: Adv. Eng. Softw. – volume: 31 start-page: 806 year: 2018 end-page: 831 ident: b1 article-title: Risk, Reliability, Resilience (R3) and beyond in dam engineering: A state-of-the-art review publication-title: Int. J. Disaster Risk Reduct. – volume: 1 start-page: 525 year: 1999 end-page: 532 ident: b12 article-title: BOA: The Bayesian optimization algorithm publication-title: Proceedings of the Genetic and Evolutionary Computation Conference GECCO-99 – year: 2017 ident: b61 article-title: UQLab user manual–Kriging (Gaussian process modelling) – volume: 23 start-page: 252 year: 2016 end-page: 266 ident: b32 article-title: Performance improvement method of support vector machine-based model monitoring dam safety publication-title: Struct. Control Health Monit. – start-page: 1 year: 2020 end-page: 27 ident: b53 article-title: Surrogate-assisted global sensitivity analysis: an overview publication-title: Struct. Multidiscip. Optim. – volume: 32 start-page: 3583 year: 2010 end-page: 3591 ident: b41 article-title: System identification of concrete gravity dams using artificial neural networks based on a hybrid finite element–boundary element approach publication-title: Eng. Struct. – volume: 19 start-page: 451 year: 2010 end-page: 559 ident: b69 article-title: Inverse problems: a Bayesian perspective publication-title: Acta Numer. – volume: 26 start-page: 395 year: 2004 end-page: 410 ident: b54 article-title: Physical systems with random uncertainties: chaos representations with arbitrary probability measure publication-title: SIAM J. Sci. Comput. – volume: 33 start-page: 47 year: 2013 end-page: 57 ident: b59 article-title: Metamodel-based importance sampling for structural reliability analysis publication-title: Probab. Eng. Mech. – volume: 119 start-page: 141 year: 2022 end-page: 152 ident: b72 article-title: Quantifying material uncertainty in seismic evaluations of reinforced concrete bridge column structures publication-title: ACI Struct. J. – volume: 146 year: 2020 ident: b47 article-title: IDE-MLSSVR-based back analysis method for multiple mechanical parameters of concrete dams publication-title: J. Struct. Eng. – volume: 34 start-page: 423 year: 2007 end-page: 434 ident: b5 article-title: An intelligent displacement back-analysis method for earth-rockfill dams publication-title: Comput. Geotech. – volume: 174 start-page: 295 year: 2018 ident: 10.1016/j.aei.2022.101853_b18 article-title: Reliability analysis of embankment dam sliding stability using the sparse polynomial chaos expansion publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2018.07.053 – year: 2021 ident: 10.1016/j.aei.2022.101853_b21 article-title: Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2021.107524 – volume: 48 start-page: 33 year: 2014 ident: 10.1016/j.aei.2022.101853_b33 article-title: Development of support vector regression identification model for prediction of dam structural behaviour publication-title: Struct. Saf. doi: 10.1016/j.strusafe.2014.02.004 – volume: 33 start-page: 443 issue: 3 year: 2017 ident: 10.1016/j.aei.2022.101853_b46 article-title: Zoned elasticity modulus inversion analysis method of a high arch dam based on unconstrained Lagrange support vector regression (support vector regression arch dam) publication-title: Eng. Comput. doi: 10.1007/s00366-016-0483-9 – year: 2019 ident: 10.1016/j.aei.2022.101853_b60 – volume: 146 issue: 8 year: 2020 ident: 10.1016/j.aei.2022.101853_b47 article-title: IDE-MLSSVR-based back analysis method for multiple mechanical parameters of concrete dams publication-title: J. Struct. Eng. doi: 10.1061/(ASCE)ST.1943-541X.0002602 – volume: 91 start-page: 1175 year: 2021 ident: 10.1016/j.aei.2022.101853_b84 article-title: Prediction of arch dam deformation via correlated multi-target stacking publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2020.10.028 – volume: 48 issue: 7 year: 2012 ident: 10.1016/j.aei.2022.101853_b14 article-title: Review of surrogate modeling in water resources publication-title: Water Resour. Res. doi: 10.1029/2011WR011527 – volume: 246 year: 2021 ident: 10.1016/j.aei.2022.101853_b26 article-title: Hierarchical Bayesian framework for uncertainty reduction in the seismic fragility analysis of concrete gravity dams publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2021.113001 – volume: 30 start-page: 3176 issue: 11 year: 2008 ident: 10.1016/j.aei.2022.101853_b3 article-title: Diagnostic analysis of concrete dams based on seasonal hydrostatic loading publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2008.04.008 – volume: 196 year: 2019 ident: 10.1016/j.aei.2022.101853_b10 article-title: Concrete gravity dams model parameters updating using static measurements publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2019.05.072 – volume: 33 start-page: 47 year: 2013 ident: 10.1016/j.aei.2022.101853_b59 article-title: Metamodel-based importance sampling for structural reliability analysis publication-title: Probab. Eng. Mech. doi: 10.1016/j.probengmech.2013.02.002 – volume: 52 year: 2022 ident: 10.1016/j.aei.2022.101853_b85 article-title: Machine learning-aided PSDM for dams with stochastic ground motions publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2022.101615 – volume: 26 start-page: 395 issue: 2 year: 2004 ident: 10.1016/j.aei.2022.101853_b54 article-title: Physical systems with random uncertainties: chaos representations with arbitrary probability measure publication-title: SIAM J. Sci. Comput. doi: 10.1137/S1064827503424505 – volume: 103 start-page: 139 year: 2018 ident: 10.1016/j.aei.2022.101853_b79 article-title: A new surface fractal dimension for displacement mode shape-based damage identification of plate-type structures publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2017.09.033 – volume: 119 start-page: 141 issue: 3 year: 2022 ident: 10.1016/j.aei.2022.101853_b72 article-title: Quantifying material uncertainty in seismic evaluations of reinforced concrete bridge column structures publication-title: ACI Struct. J. – volume: 144 year: 2021 ident: 10.1016/j.aei.2022.101853_b38 article-title: Seismic fragility analysis of high concrete faced rockfill dams based on plastic failure with support vector machine publication-title: Soil Dyn. Earthq. Eng. doi: 10.1016/j.soildyn.2021.106587 – volume: 32 start-page: 3583 issue: 11 year: 2010 ident: 10.1016/j.aei.2022.101853_b41 article-title: System identification of concrete gravity dams using artificial neural networks based on a hybrid finite element–boundary element approach publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2010.08.002 – volume: 43 start-page: 68 year: 2016 ident: 10.1016/j.aei.2022.101853_b70 article-title: A unified framework for multilevel uncertainty quantification in Bayesian inverse problems publication-title: Probab. Eng. Mech. doi: 10.1016/j.probengmech.2015.09.007 – volume: 2017 year: 2017 ident: 10.1016/j.aei.2022.101853_b35 article-title: Time-varying identification model for crack monitoring data from concrete dams based on support vector regression and the Bayesian framework publication-title: Math. Probl. Eng. – start-page: 1 year: 2018 ident: 10.1016/j.aei.2022.101853_b74 article-title: Taguchi design-based seismic reliability analysis of geostructures publication-title: Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards – volume: 31 start-page: 8503 issue: 12 year: 2019 ident: 10.1016/j.aei.2022.101853_b37 article-title: Gaussian process regression-based forecasting model of dam deformation publication-title: Neural Comput. Appl. doi: 10.1007/s00521-019-04375-7 – start-page: 1 year: 2020 ident: 10.1016/j.aei.2022.101853_b53 article-title: Surrogate-assisted global sensitivity analysis: an overview publication-title: Struct. Multidiscip. Optim. – volume: 23 start-page: 252 issue: 2 year: 2016 ident: 10.1016/j.aei.2022.101853_b32 article-title: Performance improvement method of support vector machine-based model monitoring dam safety publication-title: Struct. Control Health Monit. doi: 10.1002/stc.1767 – volume: 31 start-page: 806 year: 2018 ident: 10.1016/j.aei.2022.101853_b1 article-title: Risk, Reliability, Resilience (R3) and beyond in dam engineering: A state-of-the-art review publication-title: Int. J. Disaster Risk Reduct. doi: 10.1016/j.ijdrr.2018.07.024 – volume: 224 start-page: 560 issue: 2 year: 2007 ident: 10.1016/j.aei.2022.101853_b67 article-title: Stochastic spectral methods for efficient Bayesian solution of inverse problems publication-title: J. Comput. Phys. doi: 10.1016/j.jcp.2006.10.010 – start-page: 409 year: 1989 ident: 10.1016/j.aei.2022.101853_b57 article-title: Design and analysis of computer experiments publication-title: Statist. Sci. – volume: 13 start-page: 87 issue: 1 year: 2021 ident: 10.1016/j.aei.2022.101853_b29 article-title: Updated Kriging-assisted shape optimization of a gravity dam publication-title: Water doi: 10.3390/w13010087 – year: 2013 ident: 10.1016/j.aei.2022.101853_b65 – volume: 1 start-page: 525 year: 1999 ident: 10.1016/j.aei.2022.101853_b12 article-title: BOA: The Bayesian optimization algorithm – volume: 9 start-page: 159 issue: 2 year: 2001 ident: 10.1016/j.aei.2022.101853_b62 article-title: Completely derandomized self-adaptation in evolution strategies publication-title: Evol. Comput. doi: 10.1162/106365601750190398 – volume: 34 start-page: 423 issue: 6 year: 2007 ident: 10.1016/j.aei.2022.101853_b5 article-title: An intelligent displacement back-analysis method for earth-rockfill dams publication-title: Comput. Geotech. doi: 10.1016/j.compgeo.2007.03.002 – volume: 34 start-page: 1467 year: 2005 ident: 10.1016/j.aei.2022.101853_b80 article-title: Dynamic centrifuge tests of concrete dams publication-title: Earthq. Eng. Struct. Dyn. doi: 10.1002/eqe.493 – volume: 120 year: 2020 ident: 10.1016/j.aei.2022.101853_b22 article-title: Kriging based reliability and sensitivity analysis–Application to the stability of an earth dam publication-title: Comput. Geotech. doi: 10.1016/j.compgeo.2019.103411 – volume: 5 start-page: 119 issue: 2 year: 1988 ident: 10.1016/j.aei.2022.101853_b81 article-title: Adaptive sampling - an iterative fast Monte Carlo procedure publication-title: Struct. Saf. doi: 10.1016/0167-4730(88)90020-3 – volume: 13 start-page: 3685 issue: 14 year: 2020 ident: 10.1016/j.aei.2022.101853_b23 article-title: Metamodeling for uncertainty quantification of a flood wave model for concrete dam breaks publication-title: Energies doi: 10.3390/en13143685 – ident: 10.1016/j.aei.2022.101853_b71 – start-page: 3455 year: 2006 ident: 10.1016/j.aei.2022.101853_b31 article-title: An early-warning model of dam safety based on rough set theory and support vector machine – volume: 16 start-page: 33 issue: 1 year: 1980 ident: 10.1016/j.aei.2022.101853_b8 article-title: A statistical approach to the inverse problem of aquifer hydrology: 2. Case study publication-title: Water Resour. Res. doi: 10.1029/WR016i001p00033 – volume: 71 start-page: 60 year: 2019 ident: 10.1016/j.aei.2022.101853_b49 article-title: Dynamic inversion method for the material parameters of a high arch dam and its foundation publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2019.02.008 – year: 2017 ident: 10.1016/j.aei.2022.101853_b61 – volume: 19 start-page: 451 year: 2010 ident: 10.1016/j.aei.2022.101853_b69 article-title: Inverse problems: a Bayesian perspective publication-title: Acta Numer. doi: 10.1017/S0962492910000061 – volume: 93 start-page: 964 issue: 7 year: 2008 ident: 10.1016/j.aei.2022.101853_b16 article-title: Global sensitivity analysis using polynomial chaos expansions publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2007.04.002 – volume: 111 start-page: 232 year: 2013 ident: 10.1016/j.aei.2022.101853_b73 article-title: A combined importance sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2012.10.008 – year: 2022 ident: 10.1016/j.aei.2022.101853_b30 article-title: An uncertainty–aware dynamic shape optimization framework: Gravity dam design publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2022.108402 – year: 2021 ident: 10.1016/j.aei.2022.101853_b77 – volume: 31 start-page: 270 issue: 4 year: 2006 ident: 10.1016/j.aei.2022.101853_b11 article-title: Sensitivity analysis of structural response uncertainty propagation using evidence theory publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-006-0606-9 – volume: 79 start-page: 4639 issue: 9 year: 2020 ident: 10.1016/j.aei.2022.101853_b19 article-title: Probabilistic assessment of an earth dam stability design using the adaptive polynomial chaos expansion publication-title: Bull. Eng. Geol. Environ. doi: 10.1007/s10064-020-01847-2 – ident: 10.1016/j.aei.2022.101853_b76 doi: 10.1061/9780784413609.257 – volume: 29 start-page: 110 issue: 1 year: 2007 ident: 10.1016/j.aei.2022.101853_b2 article-title: Statistical analysis and structural identification in concrete dam monitoring publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2006.04.022 – volume: 131 start-page: 205 year: 2019 ident: 10.1016/j.aei.2022.101853_b43 article-title: Improved PLS and PSO methods-based back analysis for elastic modulus of dam publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2019.02.005 – volume: 35 start-page: 1321 issue: 11 year: 2006 ident: 10.1016/j.aei.2022.101853_b7 article-title: System identification of a concrete arch dam and calibration of its finite element model publication-title: Earthq. Eng. Struct. Dyn. doi: 10.1002/eqe.575 – year: 2022 ident: 10.1016/j.aei.2022.101853_b51 article-title: Structural parameter inversion of a gravity dam based on the dynamic response induced by an underwater explosion publication-title: J. Vib. Control – volume: 17 start-page: 113 issue: 1 year: 2004 ident: 10.1016/j.aei.2022.101853_b66 article-title: Practical selection of SVM parameters and noise estimation for SVM regression publication-title: Neural Netw. doi: 10.1016/S0893-6080(03)00169-2 – volume: 49 year: 2021 ident: 10.1016/j.aei.2022.101853_b50 article-title: Dynamic parameter inverse analysis of concrete dams based on Jaya algorithm with Gaussian processes surrogate model publication-title: Adv. Eng. Inform. doi: 10.1016/j.aei.2021.101348 – volume: 25 start-page: 183 issue: 2 year: 2010 ident: 10.1016/j.aei.2022.101853_b75 article-title: An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis publication-title: Probab. Eng. Mech. doi: 10.1016/j.probengmech.2009.10.003 – year: 2020 ident: 10.1016/j.aei.2022.101853_b20 article-title: Polynomial chaos expansion for uncertainty quantification of dam engineering problems publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2019.109631 – volume: 13 start-page: 1830 issue: 13 year: 2021 ident: 10.1016/j.aei.2022.101853_b24 article-title: Deep neural network and polynomial chaos expansion-based surrogate models for sensitivity and uncertainty propagation: An application to a rockfill dam publication-title: Water doi: 10.3390/w13131830 – volume: 2019 year: 2019 ident: 10.1016/j.aei.2022.101853_b42 article-title: Inversion modeling of dam-zoning elasticity modulus for heightened concrete dam using ICS-IPSO algorithm publication-title: Math. Probl. Eng. – volume: 13 start-page: 302 issue: 3 year: 2021 ident: 10.1016/j.aei.2022.101853_b25 article-title: An RF-PCE hybrid surrogate model for sensitivity analysis of dams publication-title: Water doi: 10.3390/w13030302 – volume: 38 start-page: 259 issue: 2 year: 2001 ident: 10.1016/j.aei.2022.101853_b6 article-title: Displacement back analysis for a steep slope at the Three Gorges Project site publication-title: Int. J. Rock Mech. Min. Sci. doi: 10.1016/S1365-1609(00)00077-0 – volume: 29 start-page: 238 issue: 3 year: 2007 ident: 10.1016/j.aei.2022.101853_b17 article-title: Efficient solution of stochastic systems: application to the embankment dam problem publication-title: Struct. Saf. doi: 10.1016/j.strusafe.2006.07.015 – volume: 1 start-page: 165 issue: 3 year: 2005 ident: 10.1016/j.aei.2022.101853_b44 article-title: Identification of elastic stiffness and local stresses in concrete dams by in situ tests and neural networks publication-title: Struct. Infrastructure Eng. doi: 10.1080/15732470500030513 – volume: 32 start-page: 407 issue: 2 year: 2004 ident: 10.1016/j.aei.2022.101853_b56 article-title: Least angle regression publication-title: Ann. Statist. doi: 10.1214/009053604000000067 – volume: 286 start-page: 103 year: 2015 ident: 10.1016/j.aei.2022.101853_b63 article-title: A new surrogate modeling technique combining Kriging and polynomial chaos expansions–Application to uncertainty analysis in computational dosimetry publication-title: J. Comput. Phys. doi: 10.1016/j.jcp.2015.01.034 – start-page: 255 year: 2018 ident: 10.1016/j.aei.2022.101853_b13 article-title: Bayesian optimization – volume: 2 start-page: 209 issue: 3 year: 2001 ident: 10.1016/j.aei.2022.101853_b83 article-title: Sampling strategies for computer experiments: design and analysis publication-title: Int. J. Reliab. Appl. – volume: 50 start-page: 1470 issue: 9 year: 2018 ident: 10.1016/j.aei.2022.101853_b27 article-title: Shape optimization based design of arch-type dams under uncertainties publication-title: Eng. Optim. doi: 10.1080/0305215X.2017.1409348 – volume: 1 start-page: 61 issue: 2 year: 2011 ident: 10.1016/j.aei.2022.101853_b15 article-title: Surrogate-assisted evolutionary computation: Recent advances and future challenges publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2011.05.001 – volume: 9 start-page: 4366 issue: 20 year: 2019 ident: 10.1016/j.aei.2022.101853_b28 article-title: Shape optimization of single-curvature arch dam based on sequential Kriging-genetic algorithm publication-title: Appl. Sci. doi: 10.3390/app9204366 – volume: 104 start-page: 276 year: 2018 ident: 10.1016/j.aei.2022.101853_b36 article-title: Support vector machine based reliability analysis of concrete dams publication-title: Soil Dyn. Earthq. Eng. doi: 10.1016/j.soildyn.2017.09.016 – year: 2017 ident: 10.1016/j.aei.2022.101853_b78 – volume: 23 start-page: 9629 issue: 19 year: 2019 ident: 10.1016/j.aei.2022.101853_b34 article-title: Prediction of the intermediate block displacement of the dam crest using artificial neural network and support vector regression models publication-title: Soft Comput. doi: 10.1007/s00500-018-3528-8 – volume: 5 start-page: 1061 issue: 1 year: 2017 ident: 10.1016/j.aei.2022.101853_b55 article-title: Sequential design of experiment for sparse polynomial chaos expansions publication-title: SIAM/ASA J. Uncertain. Quant. doi: 10.1137/16M1103488 – volume: 34 start-page: 2358 issue: 7 year: 2017 ident: 10.1016/j.aei.2022.101853_b4 article-title: Parameter identification of concrete dams using swarm intelligence algorithm publication-title: Eng. Comput. doi: 10.1108/EC-03-2017-0110 – volume: 60 start-page: 897 issue: 4 year: 1938 ident: 10.1016/j.aei.2022.101853_b52 article-title: The homogeneous chaos publication-title: Amer. J. Math. doi: 10.2307/2371268 – volume: 336 start-page: 640 year: 2018 ident: 10.1016/j.aei.2022.101853_b82 article-title: Sparse polynomial chaos expansions via compressed sensing and D-optimal design publication-title: Comput. Methods Appl. Mech. Engrg. doi: 10.1016/j.cma.2018.03.020 – volume: 256 year: 2022 ident: 10.1016/j.aei.2022.101853_b45 article-title: Multi-parameter inverse analysis of concrete dams using kernel extreme learning machines-based response surface model publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2022.113999 – volume: 25 start-page: 1028 issue: 3 year: 2011 ident: 10.1016/j.aei.2022.101853_b48 article-title: Operational modal analysis by updating autoregressive model publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2010.08.014 – volume: 10 year: 2007 ident: 10.1016/j.aei.2022.101853_b40 article-title: Feedback analysis for mechanical parameters of dam and its foundation with optimization algorithm publication-title: J. Hydraul. Eng.-ASCE – volume: 64 issue: 1 year: 2011 ident: 10.1016/j.aei.2022.101853_b68 article-title: Bayesian methods for updating dynamic models publication-title: Appl. Mech. Rev. doi: 10.1115/1.4004479 – year: 2022 ident: 10.1016/j.aei.2022.101853_b39 article-title: A multiple-point monitoring model for concrete dam displacements based on correlated multiple-output support vector regression publication-title: Struct. Health Monit. doi: 10.1177/14759217211069639 – year: 2003 ident: 10.1016/j.aei.2022.101853_b58 – volume: 5 issue: 2 year: 2015 ident: 10.1016/j.aei.2022.101853_b64 article-title: Polynomial-chaos-based Kriging publication-title: Int. J. Uncertain. Quantif. doi: 10.1615/Int.J.UncertaintyQuantification.2015012467 – volume: 31 start-page: 803 issue: 9 year: 1986 ident: 10.1016/j.aei.2022.101853_b9 article-title: Distributed asynchronous deterministic and stochastic gradient optimization algorithms publication-title: IEEE Trans. Automat. Control doi: 10.1109/TAC.1986.1104412 – volume: 260 year: 2022 ident: 10.1016/j.aei.2022.101853_b86 article-title: Coupling machine learning and stochastic finite element to evaluate heterogeneous concrete infrastructure publication-title: Eng. Struct. doi: 10.1016/j.engstruct.2022.114190 |
| SSID | ssj0016897 |
| Score | 2.5318873 |
| Snippet | Dynamic monitoring data plays an essential role in the structural health monitoring of dams. This study presents a surrogate-assisted stochastic optimization... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 101853 |
| SubjectTerms | Concrete dams Parameters identification Stochastic optimization inversion Surrogate model |
| Title | A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams |
| URI | https://dx.doi.org/10.1016/j.aei.2022.101853 |
| Volume | 55 |
| WOSCitedRecordID | wos000914954500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1873-5320 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0016897 issn: 1474-0346 databaseCode: AIEXJ dateStart: 20020101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLaqjQdeuCPGTX7gichT6lyc8BbBKkDTNERB3VNkO87mqUumNKv2A_jhHMdOUjpAgMRL1FpJHfl8Pef4-PNnhF6FUpRTEUZEpCImECEESXkkSQDBEL74U96dDfj1kB0dJYtFejyZfOv3wqyXrKqS6-v08r-aGtrA2Gbr7F-Ye_hRaIDPYHS4gtnh-keGz7zVVdPUpjxGIDM2Ziw8SPHkGTeazF4NTuLC7b70dLW2BTOPL0_rRrdnXeH-mBvOltFP1IWjEw2pZcGdwHmvXduzCNQobeg5PdZ2g0t_2PEGTvRM6dHtNbrRJGsKZTi6XXF238su9IDYd8r6onldnc7GCKK6ez9BTyfchV5XuaDBVuVi2FIz8peMBw5ZSPzA1SWVbUtYQMwJFptu26r73ogAthhxvs-Vhtk_paYlsXrEW8Lan01XpidqCHpTs0F8l7IoBfe-m304WHwcVqPixB7S079avzre8QS3Ovp5frORs8zvoTtusoEzC5L7aKKqB-ium3hg59ZXD5HI8E3M4BEzeBMzeMAMHjDzBg-IwT8iBtclNoh5hL7MDuZv3xN3-AaRNGUtgXHwJS1KJgTlEUuFWY8OVMmlLOLSVzzhkZAlg_-yomUSSJ8HaVTSiMfCUJaDx2inqiv1BGElQ7-IBPVLBvliCWEtZqGQUZLGikMKvof8fshy6ZTpzQEpy7ynIJ7nMMq5GeXcjvIeej08cmllWX53c9jbIXd5pc0XcwDNrx97-m-PPUO3R7A_Rzttc6VeoFty3epV89JB6zs_L57m |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+surrogate-assisted+stochastic+optimization+inversion+algorithm%3A+Parameter+identification+of+dams&rft.jtitle=Advanced+engineering+informatics&rft.au=Li%2C+YiFei&rft.au=Hariri-Ardebili%2C+M.+Amin&rft.au=Deng%2C+TongFa&rft.au=Wei%2C+QingYang&rft.date=2023-01-01&rft.pub=Elsevier+Ltd&rft.issn=1474-0346&rft.eissn=1873-5320&rft.volume=55&rft_id=info:doi/10.1016%2Fj.aei.2022.101853&rft.externalDocID=S1474034622003111 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1474-0346&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1474-0346&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1474-0346&client=summon |