F-RecN + iRe-CoDeS: Computational framework for regional recovery simulation using advanced building recovery models
•Advanced computational framework for evaluation of regional post-disaster recovery.•Integration of detailed building-level and region-level frameworks.•Data between two frameworks is exchanged through novel application programming interfaces.•New framework isolates damaged building components/syste...
Uloženo v:
| Vydáno v: | Engineering structures Ročník 288; s. 116156 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.08.2023
|
| Témata: | |
| ISSN: | 0141-0296, 1873-7323 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | •Advanced computational framework for evaluation of regional post-disaster recovery.•Integration of detailed building-level and region-level frameworks.•Data between two frameworks is exchanged through novel application programming interfaces.•New framework isolates damaged building components/systems and critical resources that dominate the recovery process of a region.•The framework is demonstrated on a virtual building stock located in a highly-seismic region.
Disaster recovery models are essential for informed decision-making towards improving the disaster resilience of communities. Development of recovery models in the past decade took two, mostly independent, directions: one focused on building-level recovery modeling, and the other focused on modeling regional post-disaster recovery. This study aims to bridge the gap between the two post-disaster recovery modeling levels by providing a method for information exchange between the building-level and region-level recovery models. The implementation of such data exchange is done through application programming interfaces (APIs). First, API/I defines the information provided by building-level recovery models to the regional recovery model, labelled as PADDs: Preceding Activities, Demand and Duration for each recovery activity of all damaged buildings. Then, regional recovery model uses the PADDs to simulate the recovery of buildings while accounting for regional resource constraints, and then feeds back the recovery activity progress to the building-level recovery models through the API/O to generate building-level functional recovery curves. The result of this integration is a new post-disaster recovery framework, F-RecN + iRe-CoDeS, developed by integrating the building-level F-Rec recovery framework with the regional iRe-CoDeS recovery framework. The post-earthquake recovery of a set of buildings characteristic of the downtown Los Angeles region is used to illustrate the proposed integrated framework. |
|---|---|
| AbstractList | •Advanced computational framework for evaluation of regional post-disaster recovery.•Integration of detailed building-level and region-level frameworks.•Data between two frameworks is exchanged through novel application programming interfaces.•New framework isolates damaged building components/systems and critical resources that dominate the recovery process of a region.•The framework is demonstrated on a virtual building stock located in a highly-seismic region.
Disaster recovery models are essential for informed decision-making towards improving the disaster resilience of communities. Development of recovery models in the past decade took two, mostly independent, directions: one focused on building-level recovery modeling, and the other focused on modeling regional post-disaster recovery. This study aims to bridge the gap between the two post-disaster recovery modeling levels by providing a method for information exchange between the building-level and region-level recovery models. The implementation of such data exchange is done through application programming interfaces (APIs). First, API/I defines the information provided by building-level recovery models to the regional recovery model, labelled as PADDs: Preceding Activities, Demand and Duration for each recovery activity of all damaged buildings. Then, regional recovery model uses the PADDs to simulate the recovery of buildings while accounting for regional resource constraints, and then feeds back the recovery activity progress to the building-level recovery models through the API/O to generate building-level functional recovery curves. The result of this integration is a new post-disaster recovery framework, F-RecN + iRe-CoDeS, developed by integrating the building-level F-Rec recovery framework with the regional iRe-CoDeS recovery framework. The post-earthquake recovery of a set of buildings characteristic of the downtown Los Angeles region is used to illustrate the proposed integrated framework. |
| ArticleNumber | 116156 |
| Author | Stojadinović, Božidar Blagojević, Nikola Terzić, Vesna |
| Author_xml | – sequence: 1 givenname: Nikola surname: Blagojević fullname: Blagojević, Nikola email: blagojevic@ibk.baug.ethz.ch organization: Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland – sequence: 2 givenname: Vesna surname: Terzić fullname: Terzić, Vesna email: vesna.terzic@csulb.edu organization: Department of Civil Engineering and Construction Management, California State University, Long Beach, CA 90840, USA – sequence: 3 givenname: Božidar surname: Stojadinović fullname: Stojadinović, Božidar email: stojadinovic@ibk.baug.ethz.ch organization: Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland |
| BookMark | eNqNkE9LAzEUxINUsK1-BnOXrfmzu-kKHkq1KhSFqueQJi8ldXdTkt1Kv72tKz140dN7DDMD8xugXu1rQOiSkhElNL9ej6BexSa0uhkxwviI0pxm-Qnq07HgieCM91Cf0JQmhBX5GRrEuCaEsPGY9FEzSxagn_EVdgtIpv4OXm_w1FebtlGN87UqsQ2qgk8fPrD1AQdYdXIA7bcQdji6qi2_zbiNrl5hZbaq1mDwsnWlOShHb-UNlPEcnVpVRrj4uUP0Prt_mz4m85eHp-lknmhGijxh6ZKLpRoToTLGrDGpFsCAFzTjDIBYrlKTEr1_mRVFatOsKJgRYDObi2zJh-i269XBxxjASu26WU1QrpSUyANCuZZHhPKAUHYI93nxK78JrlJh94_kpEvu18LWQZBROzhAcXsWjTTe_dnxBVnXlZg |
| CitedBy_id | crossref_primary_10_1016_j_istruc_2024_106588 crossref_primary_10_1016_j_soildyn_2024_108601 crossref_primary_10_1002_eqe_4042 crossref_primary_10_1016_j_ijdrr_2023_103875 crossref_primary_10_3389_fbuil_2025_1590479 crossref_primary_10_1061_JSENDH_STENG_12334 crossref_primary_10_1016_j_ijdrr_2024_104929 crossref_primary_10_1080_23789689_2025_2525697 crossref_primary_10_1177_87552930251344981 crossref_primary_10_1007_s10669_023_09931_0 |
| Cites_doi | 10.1193/071316EQS107M 10.6028/NIST.SP.901 10.1680/jbren.21.00018 10.1193/1.2191017 10.1061/(ASCE)ST.1943-541X.0002810 10.1016/j.engstruct.2021.113785 10.55461/DPBD8076 10.1061/(ASCE)ST.1943-541X.0001959 10.1061/9780784484432.082 10.1080/23789689.2017.1364561 10.1080/15732479.2017.1354030 10.1177/87552930211042393 10.1007/s13753-018-0202-9 10.1061/(ASCE)1084-0702(2008)13:1(6) 10.1061/(ASCE)ST.1943-541X.0001321 10.6028/NIST.SP.1254 10.1177/87552930211060856 10.1016/j.engstruct.2021.112105 10.1177/87552930211064319 10.1016/j.rcns.2022.03.001 10.1193/1.1585969 10.2495/SAFE-V7-N4-532-544 10.1016/j.engstruct.2021.112370 10.6028/NIST.SP.1190v1 |
| ContentType | Journal Article |
| Copyright | 2023 The Author(s) |
| Copyright_xml | – notice: 2023 The Author(s) |
| DBID | 6I. AAFTH AAYXX CITATION |
| DOI | 10.1016/j.engstruct.2023.116156 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1873-7323 |
| ExternalDocumentID | 10_1016_j_engstruct_2023_116156 S0141029623005709 |
| GroupedDBID | --K --M -~X .~1 0R~ 1B1 1~. 1~5 4.4 457 4G. 5GY 5VS 6I. 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAFTH AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXUO ABFNM ABJNI ABMAC ABQEM ABQYD ABYKQ ACDAQ ACGFS ACIWK ACLVX ACRLP ACSBN ADBBV ADEZE ADTZH AEBSH AECPX AEKER AENEX AFKWA AFRAH AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AIEXJ AIKHN AITUG AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ATOGT AXJTR BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE IMUCA J1W JJJVA KOM LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RNS ROL RPZ SCC SDF SDG SDP SES SEW SPC SPCBC SSE SST SSZ T5K TN5 XPP ZMT ~02 ~G- 29G 9DU AAQXK AATTM AAXKI AAYWO AAYXX ABEFU ABWVN ABXDB ACLOT ACNNM ACRPL ACVFH ADCNI ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AI. AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS EJD FEDTE FGOYB G-2 HVGLF HZ~ R2- SET VH1 WUQ ZY4 ~HD |
| ID | FETCH-LOGICAL-c2096-24b37ba807a522fdd4c7e2e391532ee0f3a4d40cee02f794f45992d7ef5f675b3 |
| ISSN | 0141-0296 |
| IngestDate | Sat Nov 29 07:21:50 EST 2025 Tue Nov 18 22:51:14 EST 2025 Fri Feb 23 02:34:37 EST 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Post-disaster recovery Building-level recovery Regional recovery Application programming interfaces |
| Language | English |
| License | This is an open access article under the CC BY license. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c2096-24b37ba807a522fdd4c7e2e391532ee0f3a4d40cee02f794f45992d7ef5f675b3 |
| OpenAccessLink | https://dx.doi.org/10.1016/j.engstruct.2023.116156 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_engstruct_2023_116156 crossref_primary_10_1016_j_engstruct_2023_116156 elsevier_sciencedirect_doi_10_1016_j_engstruct_2023_116156 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-08-01 2023-08-00 |
| PublicationDateYYYYMMDD | 2023-08-01 |
| PublicationDate_xml | – month: 08 year: 2023 text: 2023-08-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Engineering structures |
| PublicationYear | 2023 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Uriz P, Mahin SA. Toward Earthquake-Resistant Design of Concentrically Braced Steel-Frame Structures. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, USA, 2008. Report PEER 2008/08. Wang(Lisa), van de Lindt (b0280) 2021; 59 Alisjahbana, Moura-Cook, Costa, Kiremidjian (b0005) 2022; 38 California State University Long Beach, USA. 2016. Comerio (b0070) 2006; 22 Sutley, Hamideh (b0230) 2018; 3 McKenna, Fenves (b0145) 2004 Federal Emergency Management Agency (FEMA). FEMA P-58-2: Performance Assessment Calculation Tool (PACT). Washington, DC: Federal Emergency Management Agency; 2018. Miranda, Mosqueda, Retamales, Pekcan (b0160) 2012; 28 FEMA. HAZUS Earthquake Model 4.2 Technical Manual. 2020. Masoomi, van de Lindt (b0140) 2018; 14 Kovačević M, Stojadinović Z, Marinković D, and Stojadinović B. “Sampling and machine learning methods for a rapid earthquake loss assessment system”, In: Proceedings of the 11 American Society of Civil Engineers. Minimum design loads for buildings and other structures. ASCE 7-10, ASCE, Reston, VA, 2010. Toyoda T. Economic Impacts of Kobe Earthquake: A Quantitative Evaluation after 13 Years. In: Proceedings of the 5th International ISCRAM Conference, Washington, D.C., USA, May 2008. Terzic, Villanueva, Saldana, Yoo (b0250) 2021; 246 Despotaki, Sousa, Burton (b0085) 2018; 34 Daniell, Khazai, Wenzel, Vervaeck (b0080) 2012; 2012 Terzic, Villanueva (b0245) 2021; 241 UN. Sendai Framework for Disaster Risk Reduction 2015-2030. 2015. 2022. Retrieved from . 1996. King, Kiremidjian, Basoz, Law, Vucetic, Doroudian (b0130) 1997; 13 . Miranda E, Aslani H. Probabilistic response assessment for building specific loss estimation. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, USA. Report PEER 2003/03. 2003. Federal Emergency Management Agency (FEMA). ATC-138: Seismic performance assessment of buildings, volume 8 – Methodology for Assessment of Functional Recovery Time. Washington, DC: Federal Emergency Management Agency; 2021. Terzic V, Yoo D, Aryan AH. Repair Time Model for Buildings Considering the Earthquake Hazard. SEAOC Convention, Maui, HI. 2016. national conference on earthquake engineering, paper ID 649, June 25-29, 2018, Los Angeles, CA, USA. 2018. PEER/ATC. Modeling and acceptance criteria for seismic design and analysis of tall buildings. PEER/ATC-72-1, prepared by the Applied Technology Council in cooperation with PEER, Redwood City, CA, 2010. Costa, Haukaas, Chang (b0075) 2020 Stojadinović Z, Kovačević M, Marinković D, Stojadinović B. 2010 Kraljevo Earthquake Recovery Process Metrics Derived from Recorded Reconstruction Data. In: Proceedings of the 16 Blagojević, Hefti, Henken, Didier, Stojadinović (b0050) 2022 NHERI SimCenter/PBE Tool. Adam Zsarnoczay, Frank McKenna, Charles Wang, Wael Elhaddad, & Michael Gardner. NHERI-SimCenter/PBE: Release v2.0.0 (Version v2.0.0). Zenodo. 2019. (October 15, 2019). European Conference on Earthquake Engineering, paper ID 10755, June 17-22, 2018, Thessaloniki, Greece. 2018. Burton, Deierlein, Lallemant, Lin (b0060) 2015; 142 Mukherji (b0180) 2017; 1 Blagojević, Didier, Stojadinović (b0045) 2022 Padgett, DesRoches, Nielson, Yashinsky, Kwon, Burdette (b0205) 2008; 13 NIST. Community resilience planning guide for buildings and infrastructure systems, Volume I. In NIST Special Publication 1190. Retrieved from Doi: 10.6028/NIST.SP.1190v1. 2016. Andonov A, Baballëku M, Baltzopoulos G, Blagojević N, Brûlé S, Brzev S, … Wald D. In: EERI Earthquake Reconnaissance Report: M6 . 4 Albania Earthquake on November. 2022. Stojadinović, Kovačević, Marinković, Stojadinović (b0225) 2021; 38 Moehle, Bozorgnia, Jayaram, Jones, Rahnama, Shome (b0170) 2011 Molina Hutt, Vahanvaty, Kourehpaz (b0175) 2022 Blagojević, Stojadinović (b0035) 2022; 1 Blagojević N, Didier M, Stojadinović B. Simulating the role of transportation infrastructure for community disaster recovery. In Proceedings of the Institution of Civil Engineers: Bridge Engineering. Doi: 10.1680/jbren.21.00018. 2021. Garza, Terzic, Qian, Saldana, Ball (b0115) 2018 Terzic, Kolozvari (b0235) 2022; 253 Blagojević N, Lauber N, Didier M, Stojadinović B. Evaluating the Importance of Interdependent Civil Infrastructure System Components for Disaster Resilience of Community Housing. In EERI. Functional Recovery: A Conceptual Framework with Policy Options. 2019. Terzic, Mahin (b0240) 2017; 7 Arneson, Javernick-will, Hallowell, Corotis (b0020) 2020; 21 Yoo DY. Repair Time Model for Different Building Sizes Considering the Earthquake Hazard. Chung R, Ballantyne D, Comeau E, Holzer T, Schiff A, Stone W, … Whitney M. January 17, 1995 Hyogoken-Nanbu (Kobe) Earthquake: Performance of Structures, Lifelines, and Fire Protection Systems (NIST SP 901). In Washington, DC. Federal Emergency Management Agency; 2018. Mieler, Mitrani-Reiser (b0150) 2018; 144 Terzic V, Villanueva PK, Saldana D, and Yoo DY. F-rec framework: novel framework for probabilistic evaluation of functional recovery of building systems. In: PEER Report 2021/06, Pacific Earthquake Engineering Research Center, UC Berkeley. 2021b. Los Angeles Tall Buildings Structural Design Council (LATBSDC) (2008). “An alternative procedure for seismic analysis and design of tall buildings located in the Los Angeles Region.” 2020 Edition, Los Angeles, California. You, Wang, Chen (b0290) 2021; 147 Miles (b0155) 2018; 9 Sattar S, Ryan K, Arendt L, Bonowitz D, Comerio M, Davis C, Deierlein G, Johnson K. Recommended Options for Improving the Built Environment for Post-Earthquake Reoccupancy and Functional Recovery Time. Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], Doi: 10.6028/NIST.SP.1254. 2021. Arup. Resilience-based earthquake design initiative for the next generation of buildings: REDi™ rating system, San Francisco, CA. 2013. Nasrazadani, Mahsuli (b0190) 2020; 146 Aghababaei, Koliou (b0030) 2022 Federal Emergency Management Agency (FEMA). FEMA P-58-1 Kolozvari K, Kalbasi K, Orakcal K, and Wallace JW. Three-Dimensional Model for Nonlinear Analysis of Slender Flanged Reinforced Concrete Walls. In: Engineering Structures, Volume 236, 1 June 2021, 112105. 2021. Naish D. Testing and modeling of reinforced concrete coupling beams”, PhD Dissertation, Los Angeles, CA: Department of Civil and Environmental Engineering, University of California; 2010. p. 125pgs. 10.1016/j.engstruct.2023.116156_b0065 King (10.1016/j.engstruct.2023.116156_b0130) 1997; 13 10.1016/j.engstruct.2023.116156_b0220 10.1016/j.engstruct.2023.116156_b0185 10.1016/j.engstruct.2023.116156_b0025 10.1016/j.engstruct.2023.116156_b0100 10.1016/j.engstruct.2023.116156_b0265 10.1016/j.engstruct.2023.116156_b0105 Blagojević (10.1016/j.engstruct.2023.116156_b0050) 2022 10.1016/j.engstruct.2023.116156_b0260 Blagojević (10.1016/j.engstruct.2023.116156_b0035) 2022; 1 10.1016/j.engstruct.2023.116156_b0110 10.1016/j.engstruct.2023.116156_b0275 Costa (10.1016/j.engstruct.2023.116156_b0075) 2020 10.1016/j.engstruct.2023.116156_b0195 Daniell (10.1016/j.engstruct.2023.116156_b0080) 2012; 2012 Masoomi (10.1016/j.engstruct.2023.116156_b0140) 2018; 14 Terzic (10.1016/j.engstruct.2023.116156_b0240) 2017; 7 McKenna (10.1016/j.engstruct.2023.116156_b0145) 2004 You (10.1016/j.engstruct.2023.116156_b0290) 2021; 147 Terzic (10.1016/j.engstruct.2023.116156_b0245) 2021; 241 Miranda (10.1016/j.engstruct.2023.116156_b0160) 2012; 28 Wang(Lisa) (10.1016/j.engstruct.2023.116156_b0280) 2021; 59 Terzic (10.1016/j.engstruct.2023.116156_b0235) 2022; 253 Moehle (10.1016/j.engstruct.2023.116156_b0170) 2011 10.1016/j.engstruct.2023.116156_b0270 10.1016/j.engstruct.2023.116156_b0120 10.1016/j.engstruct.2023.116156_b0285 10.1016/j.engstruct.2023.116156_b0165 10.1016/j.engstruct.2023.116156_b0125 10.1016/j.engstruct.2023.116156_b0200 Miles (10.1016/j.engstruct.2023.116156_b0155) 2018; 9 Arneson (10.1016/j.engstruct.2023.116156_b0020) 2020; 21 Sutley (10.1016/j.engstruct.2023.116156_b0230) 2018; 3 Despotaki (10.1016/j.engstruct.2023.116156_b0085) 2018; 34 Garza (10.1016/j.engstruct.2023.116156_b0115) 2018 Blagojević (10.1016/j.engstruct.2023.116156_b0045) 2022 Aghababaei (10.1016/j.engstruct.2023.116156_b0030) 2022 10.1016/j.engstruct.2023.116156_b0040 Mukherji (10.1016/j.engstruct.2023.116156_b0180) 2017; 1 10.1016/j.engstruct.2023.116156_b0010 10.1016/j.engstruct.2023.116156_b0055 Stojadinović (10.1016/j.engstruct.2023.116156_b0225) 2021; 38 10.1016/j.engstruct.2023.116156_b0135 10.1016/j.engstruct.2023.116156_b0015 10.1016/j.engstruct.2023.116156_b0210 10.1016/j.engstruct.2023.116156_b0255 Padgett (10.1016/j.engstruct.2023.116156_b0205) 2008; 13 10.1016/j.engstruct.2023.116156_b0215 Burton (10.1016/j.engstruct.2023.116156_b0060) 2015; 142 Comerio (10.1016/j.engstruct.2023.116156_b0070) 2006; 22 Alisjahbana (10.1016/j.engstruct.2023.116156_b0005) 2022; 38 Molina Hutt (10.1016/j.engstruct.2023.116156_b0175) 2022 Nasrazadani (10.1016/j.engstruct.2023.116156_b0190) 2020; 146 10.1016/j.engstruct.2023.116156_b0090 Mieler (10.1016/j.engstruct.2023.116156_b0150) 2018; 144 10.1016/j.engstruct.2023.116156_b0095 Terzic (10.1016/j.engstruct.2023.116156_b0250) 2021; 246 |
| References_xml | – reference: . 2022. – reference: Arup. Resilience-based earthquake design initiative for the next generation of buildings: REDi™ rating system, San Francisco, CA. 2013. – year: 2020 ident: b0075 article-title: Agent-based model for post-earthquake housing recovery publication-title: Earthq Spectra – volume: 13 start-page: 6 year: 2008 end-page: 14 ident: b0205 article-title: Bridge damage and repair costs from hurricane Katrina publication-title: J Bridg Eng – reference: PEER/ATC. Modeling and acceptance criteria for seismic design and analysis of tall buildings. PEER/ATC-72-1, prepared by the Applied Technology Council in cooperation with PEER, Redwood City, CA, 2010. – volume: 2012 start-page: 10 year: 2012 ident: b0080 article-title: The worldwide economic impact of historic earthquakes publication-title: WCEE Lisboa – volume: 13 year: 1997 ident: b0130 article-title: Methodologies for evaluating the socio-economic consequences of large earthquakes publication-title: Earthq Spectra – volume: 38 start-page: 1254 year: 2022 end-page: 1282 ident: b0005 article-title: An agent-based financing model for post-earthquake housing recovery: Quantifying recovery inequalities across income groups publication-title: Earthq Spectra – reference: American Society of Civil Engineers. Minimum design loads for buildings and other structures. ASCE 7-10, ASCE, Reston, VA, 2010. – reference: . Retrieved from . 1996. – volume: 1 start-page: 1 year: 2017 end-page: 35 ident: b0180 article-title: Post-disaster housing recovery publication-title: Oxford Research Encyclopedia of Natural Hazard Science – volume: 146 start-page: 04020250 year: 2020 ident: b0190 article-title: Probabilistic framework for evaluating community resilience: Integration of risk models and agent-based simulation publication-title: J Struct Eng – year: 2022 ident: b0045 article-title: Evaluating NIST community disaster resilience goals using the iRe-CoDeS resilience quantification framework publication-title: Proceedings of 12 National Conference on Earthquake Engineering – reference: Stojadinović Z, Kovačević M, Marinković D, Stojadinović B. 2010 Kraljevo Earthquake Recovery Process Metrics Derived from Recorded Reconstruction Data. In: Proceedings of the 16 – volume: 3 start-page: 109 year: 2018 end-page: 127 ident: b0230 article-title: An interdisciplinary system dynamics model for post-disaster housing recovery publication-title: Sustain Resil Infrastruct – reference: Uriz P, Mahin SA. Toward Earthquake-Resistant Design of Concentrically Braced Steel-Frame Structures. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, USA, 2008. Report PEER 2008/08. – volume: 28 year: 2012 ident: b0160 article-title: Performance of nonstructural components during the 27 February 2010 Chile earthquake publication-title: Earthq Spectra – volume: 59 year: 2021 ident: b0280 article-title: Quantitative modeling of residential building disaster recovery and effects of pre- and post-event policies publication-title: Int J Disas Risk Reduct – year: 2004 ident: b0145 article-title: Open System for Earthquake Engineering Simulation (OpenSees) – reference: UN. Sendai Framework for Disaster Risk Reduction 2015-2030. 2015. – reference: , California State University Long Beach, USA. 2016. – reference: Blagojević N, Didier M, Stojadinović B. Simulating the role of transportation infrastructure for community disaster recovery. In Proceedings of the Institution of Civil Engineers: Bridge Engineering. Doi: 10.1680/jbren.21.00018. 2021. – reference: Naish D. Testing and modeling of reinforced concrete coupling beams”, PhD Dissertation, Los Angeles, CA: Department of Civil and Environmental Engineering, University of California; 2010. p. 125pgs. – reference: . Washington, DC. Federal Emergency Management Agency; 2018. – reference: Toyoda T. Economic Impacts of Kobe Earthquake: A Quantitative Evaluation after 13 Years. In: Proceedings of the 5th International ISCRAM Conference, Washington, D.C., USA, May 2008. – volume: 1 start-page: 13 year: 2022 end-page: 32 ident: b0035 article-title: A demand-supply framework for evaluating the effect of resource and service constraints on community disaster resilience publication-title: Resil Cities Struct – volume: 22 start-page: 349 year: 2006 end-page: 365 ident: b0070 article-title: Estimating downtime in loss modeling publication-title: Earthq Spectra – volume: 38 start-page: 152 year: 2021 end-page: 177 ident: b0225 article-title: Rapid earthquake loss assessment based on machine learning and representative sampling publication-title: Earthq Spectra – volume: 144 year: 2018 ident: b0150 article-title: Review of the state of the art in assessing earthquake-induced loss of functionality in buildings publication-title: J Struct Eng – volume: 241 year: 2021 ident: b0245 article-title: Model for probabilistic evaluation of post-earthquake functionality of building systems publication-title: Eng Struct – volume: 34 start-page: 265 year: 2018 end-page: 282 ident: b0085 article-title: Using resilience indicators in the prediction of earthquake recovery publication-title: Earthq Spectra – volume: 21 start-page: 1 year: 2020 end-page: 11 ident: b0020 article-title: Predicting postdisaster residential housing reconstruction based on market resources publication-title: ASCE Nat Hazar Rev – volume: 7 start-page: 532 year: 2017 end-page: 544 ident: b0240 article-title: Using PBEE to assess and improve performance of different structural systems for low-rise steel buildings publication-title: Int J Safety Secur Eng – reference: Sattar S, Ryan K, Arendt L, Bonowitz D, Comerio M, Davis C, Deierlein G, Johnson K. Recommended Options for Improving the Built Environment for Post-Earthquake Reoccupancy and Functional Recovery Time. Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], Doi: 10.6028/NIST.SP.1254. 2021. – start-page: 1 year: 2022 end-page: 15 ident: b0050 article-title: Quantifying disaster resilience of a community with interdependent civil infrastructure systems publication-title: Struct Infrastruct Eng – reference: Federal Emergency Management Agency (FEMA). ATC-138: Seismic performance assessment of buildings, volume 8 – Methodology for Assessment of Functional Recovery Time. Washington, DC: Federal Emergency Management Agency; 2021. – reference: Kolozvari K, Kalbasi K, Orakcal K, and Wallace JW. Three-Dimensional Model for Nonlinear Analysis of Slender Flanged Reinforced Concrete Walls. In: Engineering Structures, Volume 236, 1 June 2021, 112105. 2021. – reference: Federal Emergency Management Agency (FEMA). FEMA P-58-2: Performance Assessment Calculation Tool (PACT). Washington, DC: Federal Emergency Management Agency; 2018. – reference: European Conference on Earthquake Engineering, paper ID 10755, June 17-22, 2018, Thessaloniki, Greece. 2018. – reference: Andonov A, Baballëku M, Baltzopoulos G, Blagojević N, Brûlé S, Brzev S, … Wald D. In: EERI Earthquake Reconnaissance Report: M6 . 4 Albania Earthquake on November. 2022. – reference: Terzic V, Yoo D, Aryan AH. Repair Time Model for Buildings Considering the Earthquake Hazard. SEAOC Convention, Maui, HI. 2016. – reference: EERI. Functional Recovery: A Conceptual Framework with Policy Options. 2019. – year: 2011 ident: b0170 article-title: Case Studies of the Seismic Performance of Tall Buildings Designed by Alternative Means - Task 12 Report for the Tall Buildings Initiative – year: 2022 ident: b0175 article-title: An analytical framework to assess earthquake-induced downtime and model recovery of buildings publication-title: Earthq Spectra – volume: 147 year: 2021 ident: b0290 article-title: A framework to link community long-term resilience goals to seismic performance of individual buildings using network-based recovery modeling method publication-title: Soil Dyn Earthq Eng – reference: Blagojević N, Lauber N, Didier M, Stojadinović B. Evaluating the Importance of Interdependent Civil Infrastructure System Components for Disaster Resilience of Community Housing. In – volume: 253 year: 2022 ident: b0235 article-title: Probabilistic evaluation of post-earthquake functional recovery for a tall RC core wall building using F-Rec framework publication-title: Eng Struct – reference: Terzic V, Villanueva PK, Saldana D, and Yoo DY. F-rec framework: novel framework for probabilistic evaluation of functional recovery of building systems. In: PEER Report 2021/06, Pacific Earthquake Engineering Research Center, UC Berkeley. 2021b. – reference: FEMA. HAZUS Earthquake Model 4.2 Technical Manual. 2020. – reference: Federal Emergency Management Agency (FEMA). FEMA P-58-1: – reference: Kovačević M, Stojadinović Z, Marinković D, and Stojadinović B. “Sampling and machine learning methods for a rapid earthquake loss assessment system”, In: Proceedings of the 11 – reference: national conference on earthquake engineering, paper ID 649, June 25-29, 2018, Los Angeles, CA, USA. 2018. – reference: Los Angeles Tall Buildings Structural Design Council (LATBSDC) (2008). “An alternative procedure for seismic analysis and design of tall buildings located in the Los Angeles Region.” 2020 Edition, Los Angeles, California. – reference: . – reference: NIST. Community resilience planning guide for buildings and infrastructure systems, Volume I. In NIST Special Publication 1190. Retrieved from Doi: 10.6028/NIST.SP.1190v1. 2016. – volume: 246 year: 2021 ident: b0250 article-title: Framework for modelling post-earthquake functional recovery of buildings publication-title: Eng Struct – volume: 9 start-page: 519 year: 2018 end-page: 529 ident: b0155 article-title: Participatory disaster recovery simulation modeling for community resilience planning publication-title: Int J Disaster Risk Sci – volume: 142 year: 2015 ident: b0060 article-title: Framework for incorporating probabilistic building performance in the assessment of community seismic resilience publication-title: J Struct Eng – reference: Miranda E, Aslani H. Probabilistic response assessment for building specific loss estimation. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, USA. Report PEER 2003/03. 2003. – reference: Yoo DY. Repair Time Model for Different Building Sizes Considering the Earthquake Hazard. – reference: NHERI SimCenter/PBE Tool. Adam Zsarnoczay, Frank McKenna, Charles Wang, Wael Elhaddad, & Michael Gardner. NHERI-SimCenter/PBE: Release v2.0.0 (Version v2.0.0). Zenodo. 2019. (October 15, 2019). – volume: 14 start-page: 275 year: 2018 end-page: 291 ident: b0140 article-title: Restoration and functionality assessment of a community subjected to tornado hazard publication-title: Struct Infrastruct Eng – reference: Chung R, Ballantyne D, Comeau E, Holzer T, Schiff A, Stone W, … Whitney M. January 17, 1995 Hyogoken-Nanbu (Kobe) Earthquake: Performance of Structures, Lifelines, and Fire Protection Systems (NIST SP 901). In – year: 2022 ident: b0030 article-title: Community resilience assessment via agent-based modeling approach publication-title: Comput Aided Civ Inf Eng – year: 2018 ident: b0115 article-title: Should we rely on existing building lateral systems when retrofitting buildings? – volume: 34 start-page: 265 issue: 1 year: 2018 ident: 10.1016/j.engstruct.2023.116156_b0085 article-title: Using resilience indicators in the prediction of earthquake recovery publication-title: Earthq Spectra doi: 10.1193/071316EQS107M – volume: 1 start-page: 1 year: 2017 ident: 10.1016/j.engstruct.2023.116156_b0180 article-title: Post-disaster housing recovery publication-title: Oxford Research Encyclopedia of Natural Hazard Science – ident: 10.1016/j.engstruct.2023.116156_b0065 doi: 10.6028/NIST.SP.901 – ident: 10.1016/j.engstruct.2023.116156_b0040 doi: 10.1680/jbren.21.00018 – ident: 10.1016/j.engstruct.2023.116156_b0270 – volume: 22 start-page: 349 issue: 2 year: 2006 ident: 10.1016/j.engstruct.2023.116156_b0070 article-title: Estimating downtime in loss modeling publication-title: Earthq Spectra doi: 10.1193/1.2191017 – volume: 146 start-page: 04020250 issue: 11 year: 2020 ident: 10.1016/j.engstruct.2023.116156_b0190 article-title: Probabilistic framework for evaluating community resilience: Integration of risk models and agent-based simulation publication-title: J Struct Eng doi: 10.1061/(ASCE)ST.1943-541X.0002810 – ident: 10.1016/j.engstruct.2023.116156_b0010 – volume: 253 year: 2022 ident: 10.1016/j.engstruct.2023.116156_b0235 article-title: Probabilistic evaluation of post-earthquake functional recovery for a tall RC core wall building using F-Rec framework publication-title: Eng Struct doi: 10.1016/j.engstruct.2021.113785 – year: 2018 ident: 10.1016/j.engstruct.2023.116156_b0115 – ident: 10.1016/j.engstruct.2023.116156_b0165 – ident: 10.1016/j.engstruct.2023.116156_b0255 doi: 10.55461/DPBD8076 – ident: 10.1016/j.engstruct.2023.116156_b0100 – start-page: 1 year: 2022 ident: 10.1016/j.engstruct.2023.116156_b0050 article-title: Quantifying disaster resilience of a community with interdependent civil infrastructure systems publication-title: Struct Infrastruct Eng – year: 2020 ident: 10.1016/j.engstruct.2023.116156_b0075 article-title: Agent-based model for post-earthquake housing recovery publication-title: Earthq Spectra – ident: 10.1016/j.engstruct.2023.116156_b0135 – year: 2004 ident: 10.1016/j.engstruct.2023.116156_b0145 – volume: 144 issue: 3 year: 2018 ident: 10.1016/j.engstruct.2023.116156_b0150 article-title: Review of the state of the art in assessing earthquake-induced loss of functionality in buildings publication-title: J Struct Eng doi: 10.1061/(ASCE)ST.1943-541X.0001959 – volume: 28 issue: S1 year: 2012 ident: 10.1016/j.engstruct.2023.116156_b0160 article-title: Performance of nonstructural components during the 27 February 2010 Chile earthquake publication-title: Earthq Spectra – volume: 246 issue: 8 year: 2021 ident: 10.1016/j.engstruct.2023.116156_b0250 article-title: Framework for modelling post-earthquake functional recovery of buildings publication-title: Eng Struct – ident: 10.1016/j.engstruct.2023.116156_b0055 doi: 10.1061/9780784484432.082 – volume: 3 start-page: 109 issue: 3 year: 2018 ident: 10.1016/j.engstruct.2023.116156_b0230 article-title: An interdisciplinary system dynamics model for post-disaster housing recovery publication-title: Sustain Resil Infrastruct doi: 10.1080/23789689.2017.1364561 – volume: 14 start-page: 275 issue: 3 year: 2018 ident: 10.1016/j.engstruct.2023.116156_b0140 article-title: Restoration and functionality assessment of a community subjected to tornado hazard publication-title: Struct Infrastruct Eng doi: 10.1080/15732479.2017.1354030 – year: 2022 ident: 10.1016/j.engstruct.2023.116156_b0030 article-title: Community resilience assessment via agent-based modeling approach publication-title: Comput Aided Civ Inf Eng – ident: 10.1016/j.engstruct.2023.116156_b0125 – ident: 10.1016/j.engstruct.2023.116156_b0185 – ident: 10.1016/j.engstruct.2023.116156_b0195 – ident: 10.1016/j.engstruct.2023.116156_b0210 – volume: 21 start-page: 1 issue: 1 year: 2020 ident: 10.1016/j.engstruct.2023.116156_b0020 article-title: Predicting postdisaster residential housing reconstruction based on market resources publication-title: ASCE Nat Hazar Rev – volume: 38 start-page: 152 issue: 1 year: 2021 ident: 10.1016/j.engstruct.2023.116156_b0225 article-title: Rapid earthquake loss assessment based on machine learning and representative sampling publication-title: Earthq Spectra doi: 10.1177/87552930211042393 – volume: 9 start-page: 519 issue: 4 year: 2018 ident: 10.1016/j.engstruct.2023.116156_b0155 article-title: Participatory disaster recovery simulation modeling for community resilience planning publication-title: Int J Disaster Risk Sci doi: 10.1007/s13753-018-0202-9 – ident: 10.1016/j.engstruct.2023.116156_b0025 – ident: 10.1016/j.engstruct.2023.116156_b0105 – ident: 10.1016/j.engstruct.2023.116156_b0220 – volume: 13 start-page: 6 issue: 1 year: 2008 ident: 10.1016/j.engstruct.2023.116156_b0205 article-title: Bridge damage and repair costs from hurricane Katrina publication-title: J Bridg Eng doi: 10.1061/(ASCE)1084-0702(2008)13:1(6) – ident: 10.1016/j.engstruct.2023.116156_b0015 – volume: 147 issue: November 2020 year: 2021 ident: 10.1016/j.engstruct.2023.116156_b0290 article-title: A framework to link community long-term resilience goals to seismic performance of individual buildings using network-based recovery modeling method publication-title: Soil Dyn Earthq Eng – volume: 142 issue: 8 year: 2015 ident: 10.1016/j.engstruct.2023.116156_b0060 article-title: Framework for incorporating probabilistic building performance in the assessment of community seismic resilience publication-title: J Struct Eng doi: 10.1061/(ASCE)ST.1943-541X.0001321 – volume: 2012 start-page: 10 year: 2012 ident: 10.1016/j.engstruct.2023.116156_b0080 article-title: The worldwide economic impact of historic earthquakes publication-title: WCEE Lisboa – ident: 10.1016/j.engstruct.2023.116156_b0215 doi: 10.6028/NIST.SP.1254 – volume: 59 issue: April year: 2021 ident: 10.1016/j.engstruct.2023.116156_b0280 article-title: Quantitative modeling of residential building disaster recovery and effects of pre- and post-event policies publication-title: Int J Disas Risk Reduct – ident: 10.1016/j.engstruct.2023.116156_b0265 – ident: 10.1016/j.engstruct.2023.116156_b0110 – year: 2022 ident: 10.1016/j.engstruct.2023.116156_b0175 article-title: An analytical framework to assess earthquake-induced downtime and model recovery of buildings publication-title: Earthq Spectra doi: 10.1177/87552930211060856 – ident: 10.1016/j.engstruct.2023.116156_b0095 – ident: 10.1016/j.engstruct.2023.116156_b0120 doi: 10.1016/j.engstruct.2021.112105 – year: 2011 ident: 10.1016/j.engstruct.2023.116156_b0170 – ident: 10.1016/j.engstruct.2023.116156_b0275 – year: 2022 ident: 10.1016/j.engstruct.2023.116156_b0045 article-title: Evaluating NIST community disaster resilience goals using the iRe-CoDeS resilience quantification framework – volume: 38 start-page: 1254 issue: 2 year: 2022 ident: 10.1016/j.engstruct.2023.116156_b0005 article-title: An agent-based financing model for post-earthquake housing recovery: Quantifying recovery inequalities across income groups publication-title: Earthq Spectra doi: 10.1177/87552930211064319 – volume: 1 start-page: 13 issue: 1 year: 2022 ident: 10.1016/j.engstruct.2023.116156_b0035 article-title: A demand-supply framework for evaluating the effect of resource and service constraints on community disaster resilience publication-title: Resil Cities Struct doi: 10.1016/j.rcns.2022.03.001 – ident: 10.1016/j.engstruct.2023.116156_b0090 – volume: 13 issue: 4 year: 1997 ident: 10.1016/j.engstruct.2023.116156_b0130 article-title: Methodologies for evaluating the socio-economic consequences of large earthquakes publication-title: Earthq Spectra doi: 10.1193/1.1585969 – volume: 7 start-page: 532 issue: 4 year: 2017 ident: 10.1016/j.engstruct.2023.116156_b0240 article-title: Using PBEE to assess and improve performance of different structural systems for low-rise steel buildings publication-title: Int J Safety Secur Eng doi: 10.2495/SAFE-V7-N4-532-544 – volume: 241 year: 2021 ident: 10.1016/j.engstruct.2023.116156_b0245 article-title: Model for probabilistic evaluation of post-earthquake functionality of building systems publication-title: Eng Struct doi: 10.1016/j.engstruct.2021.112370 – ident: 10.1016/j.engstruct.2023.116156_b0260 – ident: 10.1016/j.engstruct.2023.116156_b0200 doi: 10.6028/NIST.SP.1190v1 – ident: 10.1016/j.engstruct.2023.116156_b0285 |
| SSID | ssj0002880 |
| Score | 2.3922267 |
| Snippet | •Advanced computational framework for evaluation of regional post-disaster recovery.•Integration of detailed building-level and region-level frameworks.•Data... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 116156 |
| SubjectTerms | Application programming interfaces Building-level recovery Post-disaster recovery Regional recovery |
| Title | F-RecN + iRe-CoDeS: Computational framework for regional recovery simulation using advanced building recovery models |
| URI | https://dx.doi.org/10.1016/j.engstruct.2023.116156 |
| Volume | 288 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: ScienceDirect database customDbUrl: eissn: 1873-7323 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002880 issn: 0141-0296 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV27btswFCXcpEM7BH2i6QscmkmgQVOSKWaLXQdtB6No3MKboAcZ2HGlwHaCNB-U78ylKFJyYcDN0EUwJJISdY95HzjiQegTeIw0z0RINMOQBIpyIjLuE3D2fe0yOBdZJTbBx-NoOhXfO507-y3M9YIXRXRzIy7_q6nhHBhbfzr7AHO7QeEE_AajwxHMDsd_MvwpgVBwDCYdeLMfkgzLz_JM5_1Gv8HW_pQlZVU8Qy3PUJ3W-THM-I-3mv2uhb28q6qc4MgCaS2k3bSt1HRWGzX-ZpdDz-xQe7VsyIqDRXJezsEjV5EsN4C8KBfOQ0zk8rZ18ZdcFe7a2bqca95_2e4-KI-G4dFgNMuTZbuOwXzHomtKmz1CmdG3tWszM5p_9era0-Fpf-vCb2oQ864szs20uvoe3abH5lbbf7lAR0y0nLd57AaK9UCxGegR2mc8FLB67p98HU2_OZ8Pz0kNWdbMYYNJuPWZtsdBrdhm8gwd1EkJPjFgeo46sniBnraM-BKtDaywhx2ojvEGpLCDFAZIYQspbGGCG0jhClLYQgpbSDVtDaReoZ-no8nwC6kVO0jGIBcmLEh9niYR5QnE9SrPg4xLJrUIgc-kpMpPgjygEJhRpsATqABeJsu5VKGCzDX1X6O9oizkG4SDHqNRmoiQKx7kEvKMLEv7Sgje86M8jA5R376_OKu3s9eqKot4hw0PEXUdL82OLru7HFsDxXVgagLOGOC3q_Pbh9_vHXrS_EPeoz1oID-gx9n1erZafqyxdw-tybVl |
| 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=F-RecN+%2B+iRe-CoDeS%3A+Computational+framework+for+regional+recovery+simulation+using+advanced+building+recovery+models&rft.jtitle=Engineering+structures&rft.au=Blagojevi%C4%87%2C+Nikola&rft.au=Terzi%C4%87%2C+Vesna&rft.au=Stojadinovi%C4%87%2C+Bo%C5%BEidar&rft.date=2023-08-01&rft.issn=0141-0296&rft.volume=288&rft.spage=116156&rft_id=info:doi/10.1016%2Fj.engstruct.2023.116156&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_engstruct_2023_116156 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0141-0296&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0141-0296&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0141-0296&client=summon |