Interpretation of stabilization diagrams using density-based clustering algorithm

•A density-based algorithm for manual and automatic identification is proposed.•The proposed methodology is based on OPTICS clustering algorithm.•A new parameter to estimate the reliability of an identified mode is presented. The estimation of modal parameters is a critical requirement in structural...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Engineering structures Jg. 178; S. 245 - 257
Hauptverfasser:	Boroschek, Ruben L., Bilbao, Joaquin A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.01.2019 Elsevier BV
Schlagworte:	Algorithms Automation Building construction Clustering Damage detection Density distribution Earthquake damage Earthquakes OPTICS Parameter estimation Seismic activity Seismic design Seismic engineering Stability diagrams Stabilization Structural damage Structural health monitoring System identification Vibration monitoring System identification OPTICS Stability diagrams Clustering
ISSN:	0141-0296, 1873-7323
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	•A density-based algorithm for manual and automatic identification is proposed.•The proposed methodology is based on OPTICS clustering algorithm.•A new parameter to estimate the reliability of an identified mode is presented. The estimation of modal parameters is a critical requirement in structural health monitoring, damage detection, design validation, among other topics. The most prevalent methodology for manual identification is via an interpretation of a stabilization diagram. A density-based algorithm for automatically interpreting this type of diagram is proposed. The method employs three stages of interpretation. First, hard criteria are used to discard distinct spurious modes. Second, a density-based algorithm, Ordering Points to Identify the Clustering Structure (OPTICS), is used to cluster data. Finally, the modal parameters are selected taking into account the density distribution of the clustered values. Automation on the procedure is proposed, tested and applied to the vibration measurements of a building structure that has been continuously monitored since 2009. The results indicate a satisfactory interpretation, despite the low signal-to-noise ratios, the effect of induced electric noise, the low density of the sensors, different ambient conditions, and the occurrence of earthquake events.
AbstractList	The estimation of modal parameters is a critical requirement in structural health monitoring, damage detection, design validation, among other topics. The most prevalent methodology for manual identification is via an interpretation of a stabilization diagram. A density-based algorithm for automatically interpreting this type of diagram is proposed. The method employs three stages of interpretation. First, hard criteria are used to discard distinct spurious modes. Second, a density-based algorithm, Ordering Points to Identify the Clustering Structure (OPTICS), is used to cluster data. Finally, the modal parameters are selected taking into account the density distribution of the clustered values. Automation on the procedure is proposed, tested and applied to the vibration measurements of a building structure that has been continuously monitored since 2009. The results indicate a satisfactory interpretation, despite the low signal-to-noise ratios, the effect of induced electric noise, the low density of the sensors, different ambient conditions, and the occurrence of earthquake events. •A density-based algorithm for manual and automatic identification is proposed.•The proposed methodology is based on OPTICS clustering algorithm.•A new parameter to estimate the reliability of an identified mode is presented. The estimation of modal parameters is a critical requirement in structural health monitoring, damage detection, design validation, among other topics. The most prevalent methodology for manual identification is via an interpretation of a stabilization diagram. A density-based algorithm for automatically interpreting this type of diagram is proposed. The method employs three stages of interpretation. First, hard criteria are used to discard distinct spurious modes. Second, a density-based algorithm, Ordering Points to Identify the Clustering Structure (OPTICS), is used to cluster data. Finally, the modal parameters are selected taking into account the density distribution of the clustered values. Automation on the procedure is proposed, tested and applied to the vibration measurements of a building structure that has been continuously monitored since 2009. The results indicate a satisfactory interpretation, despite the low signal-to-noise ratios, the effect of induced electric noise, the low density of the sensors, different ambient conditions, and the occurrence of earthquake events.
Author	Boroschek, Ruben L. Bilbao, Joaquin A.
Author_xml	– sequence: 1 givenname: Ruben L. surname: Boroschek fullname: Boroschek, Ruben L. email: rborosch@ing.uchile.cl – sequence: 2 givenname: Joaquin A. surname: Bilbao fullname: Bilbao, Joaquin A. email: jbilbao@ing.uchile.cl
BookMark	eNqNkF1LwzAUhoNMcE5_gwWvW5Oma9oLL8bwYzAQQa9DenI6M7p0Jqkwf70ZFS-8UThw4Jz3OR_vOZnY3iIhV4xmjLLyZpuh3fjgBghZTlmV0ToGOyFTVgmeCp7zCZlSVrCU5nV5Rs6931JK86qiU_K8sgHd3mFQwfQ26dvEB9WYznyOBW3UxqmdTwZv7CbRaL0Jh7RRHnUC3eAjfmyobtM7E952F-S0VZ3Hy-88I6_3dy_Lx3T99LBaLtYp8DoP6bwVAjVQ0IqLsqWQA42nKuRF0er5HGtsdcM5FKArwWKqAXJV80I0zRyAz8j1OHfv-vcBfZDbfnA2rpQ5K0tRVLyso-p2VIHrvXfYSjDjq8Ep00lG5dFFuZU_Lsqji5LWMVjkxS9-78xOucM_yMVIYjThw6CTHgxaQG0cRq3uzZ8zvgD7mZfQ
CitedBy_id	crossref_primary_10_1016_j_engstruct_2024_119210 crossref_primary_10_1017_dce_2022_38 crossref_primary_10_1016_j_ymssp_2021_108707 crossref_primary_10_1016_j_ijmecsci_2024_109910 crossref_primary_10_1016_j_engstruct_2021_111907 crossref_primary_10_1016_j_engstruct_2025_120484 crossref_primary_10_1016_j_jobe_2024_109267 crossref_primary_10_1016_j_jsv_2024_118381 crossref_primary_10_1177_87552930251332611 crossref_primary_10_1002_stc_2450 crossref_primary_10_1016_j_engstruct_2025_119657 crossref_primary_10_1080_15732479_2021_1919151 crossref_primary_10_1016_j_engstruct_2020_111702 crossref_primary_10_1016_j_engstruct_2022_115139 crossref_primary_10_1016_j_ymssp_2023_110488 crossref_primary_10_1016_j_ymssp_2021_108173 crossref_primary_10_1155_stc_9464798 crossref_primary_10_1016_j_jsv_2020_115757 crossref_primary_10_3390_ma17204999 crossref_primary_10_1016_j_jsv_2023_117638 crossref_primary_10_1016_j_jobe_2024_110141 crossref_primary_10_1177_87552930211000358 crossref_primary_10_3390_w14203207 crossref_primary_10_1002_stc_2845 crossref_primary_10_1007_s10518_025_02142_9 crossref_primary_10_1088_2631_8695_ac0dca crossref_primary_10_3390_app15137201 crossref_primary_10_1016_j_measurement_2024_116432 crossref_primary_10_1016_j_engstruct_2022_113915 crossref_primary_10_1016_j_istruc_2025_109611 crossref_primary_10_1002_stc_3138 crossref_primary_10_1061_NHREFO_NHENG_2323 crossref_primary_10_1061__ASCE_BE_1943_5592_0001761 crossref_primary_10_1007_s10518_022_01460_6 crossref_primary_10_3390_app15147794 crossref_primary_10_1016_j_conbuildmat_2019_02_140 crossref_primary_10_1002_tal_2102 crossref_primary_10_1016_j_ymssp_2024_112011
Cites_doi	10.1006/mssp.1999.1249 10.1016/j.conengprac.2012.05.005 10.1002/eqe.4290140205 10.1016/j.ymssp.2008.05.003 10.1016/j.ymssp.2012.01.007 10.1016/j.eswa.2011.04.021
ContentType	Journal Article
Copyright	2018 Elsevier Ltd Copyright Elsevier BV Jan 1, 2019
Copyright_xml	– notice: 2018 Elsevier Ltd – notice: Copyright Elsevier BV Jan 1, 2019
DBID	AAYXX CITATION 7SR 7ST 8BQ 8FD C1K FR3 JG9 KR7 SOI
DOI	10.1016/j.engstruct.2018.09.091
DatabaseName	CrossRef Engineered Materials Abstracts Environment Abstracts METADEX Technology Research Database Environmental Sciences and Pollution Management Engineering Research Database Materials Research Database Civil Engineering Abstracts Environment Abstracts
DatabaseTitle	CrossRef Materials Research Database Civil Engineering Abstracts Engineered Materials Abstracts Technology Research Database Engineering Research Database Environment Abstracts METADEX Environmental Sciences and Pollution Management
DatabaseTitleList	Materials Research Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1873-7323
EndPage	257
ExternalDocumentID	10_1016_j_engstruct_2018_09_091 S0141029617338762
GroupedDBID	--K --M -~X .~1 0R~ 1B1 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW 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 EJD 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 RIG RNS ROL RPZ SCC SDF SDG SDP SES 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 FEDTE FGOYB G-2 HVGLF HZ~ R2- SET SEW VH1 WUQ ZY4 ~HD 7SR 7ST 8BQ 8FD AGCQF C1K FR3 JG9 KR7 SOI
ID	FETCH-LOGICAL-c392t-5f77edc0cda376f0c2c0323ae344fd55e9efdb33c4cd871c4c9cc2a9347bb5cc3
ISICitedReferencesCount	48
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000455069800019&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0141-0296
IngestDate	Wed Aug 13 07:15:33 EDT 2025 Sat Nov 29 04:28:18 EST 2025 Tue Nov 18 21:51:40 EST 2025 Fri Feb 23 02:26:51 EST 2024
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Keywords	System identification OPTICS Stability diagrams Clustering
Language	English
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c392t-5f77edc0cda376f0c2c0323ae344fd55e9efdb33c4cd871c4c9cc2a9347bb5cc3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
OpenAccessLink	https://repositorio.uchile.cl/handle/2250/169694
PQID	2166748369
PQPubID	2045481
PageCount	13
ParticipantIDs	proquest_journals_2166748369 crossref_citationtrail_10_1016_j_engstruct_2018_09_091 crossref_primary_10_1016_j_engstruct_2018_09_091 elsevier_sciencedirect_doi_10_1016_j_engstruct_2018_09_091
PublicationCentury	2000
PublicationDate	2019-01-01 2019-01-00 20190101
PublicationDateYYYYMMDD	2019-01-01
PublicationDate_xml	– month: 01 year: 2019 text: 2019-01-01 day: 01
PublicationDecade	2010
PublicationPlace	Kidlington
PublicationPlace_xml	– name: Kidlington
PublicationTitle	Engineering structures
PublicationYear	2019
Publisher	Elsevier Ltd Elsevier BV
Publisher_xml	– name: Elsevier Ltd – name: Elsevier BV
References	Ankerst, Markus, Kriegel, Sander (b0025) 1999 Boroschek, Bilbao (b0035) 2015 Pappa, Elliott, Schenk (b0060) 1992 Cabboi, Magalhaes, Gentile, Cunha (b0015) 2013 Allemang, Brown (b0055) 1982 Veletsos, Ventura (b0050) 1986; 14 Magalhaes, Cunha, Caetano (b0005) 2009 Boroschek (b0030) 2010 Ankerst, Breunig, Kriegel, Sander (b0080) 1999 Bakir (b0010) 2011 Peeters, De Roeck (b0040) 1999; 13 Reynders, Houbrechts, De Roeck (b0020) 2012; 29 Ester, Kriegel, Sander, Xu (b0085) 1996 Döhler, Mevel (b0045) 2012; 20 Boroschek (10.1016/j.engstruct.2018.09.091_b0030) 2010 Allemang (10.1016/j.engstruct.2018.09.091_b0055) 1982 Pappa (10.1016/j.engstruct.2018.09.091_b0060) 1992 Ankerst (10.1016/j.engstruct.2018.09.091_b0080) 1999 Cabboi (10.1016/j.engstruct.2018.09.091_b0015) 2013 Ester (10.1016/j.engstruct.2018.09.091_b0085) 1996 Bakir (10.1016/j.engstruct.2018.09.091_b0010) 2011 Reynders (10.1016/j.engstruct.2018.09.091_b0020) 2012; 29 Ankerst (10.1016/j.engstruct.2018.09.091_b0025) 1999 Döhler (10.1016/j.engstruct.2018.09.091_b0045) 2012; 20 Peeters (10.1016/j.engstruct.2018.09.091_b0040) 1999; 13 Boroschek (10.1016/j.engstruct.2018.09.091_b0035) 2015 Veletsos (10.1016/j.engstruct.2018.09.091_b0050) 1986; 14 Magalhaes (10.1016/j.engstruct.2018.09.091_b0005) 2009
References_xml	– start-page: 14390 year: 2011 end-page: 14397 ident: b0010 article-title: Automation of the stabilization diagrams for subspace based system identification publication-title: Expert Syst Appl – start-page: 197 year: 2010 end-page: 216 ident: b0030 article-title: Structural health monitoring performance during the 2010 Gigantic Chile earthquake publication-title: Earthquakes and health monitoring of civil structures – year: 2013 ident: b0015 article-title: Automatic operational modal analysis: challenges and practical application to a historical bridge publication-title: 6th ECCOMAS conference on smart structures and materials, Torino – volume: 13 start-page: 855 year: 1999 end-page: 878 ident: b0040 article-title: Reference-base stochastic subspace identfication for output-only modal analysis publication-title: Mech Syst Signal Process – year: 1999 ident: b0080 article-title: OPTICS: ordering points to identify the clustering structure publication-title: CM SIGMOD international conference on Management of data, NY, USA – year: 2015 ident: b0035 article-title: Evaluation of an automatic selection methodology of model parameters from stability diagrams on a damaged building publication-title: 6th International Operational Modal Analysis Conferenceq, Gijón, Spain – start-page: 110 year: 1982 end-page: 116 ident: b0055 article-title: A correlation coefficient for modal vector analysis publication-title: Proceedings of the 1st International Modal Analysis Conference – year: 1999 ident: b0025 article-title: OPTICS: ordering points to identify the clustering structure publication-title: Proc. ACM SIGMOD’99 Int. Conf. on Management of Data, Philadelphia PA – volume: 20 start-page: 882 year: 2012 end-page: 894 ident: b0045 article-title: Fast multi-order computation of system matrices in subspace-based system identification publication-title: Control Eng Pract – year: 1992 ident: b0060 article-title: A consistent-mode indicator for the eigensystem realization algorithm – start-page: 316 year: 2009 end-page: 329 ident: b0005 article-title: Online automatic identification of the modal parameters of a long span bridge publication-title: Mech Syst Sig Process – volume: 29 start-page: 228 year: 2012 end-page: 250 ident: b0020 article-title: Fully automated (operational) modal analysis publication-title: Mech Syst Sig Process – volume: 14 start-page: 217 year: 1986 end-page: 243 ident: b0050 article-title: Modal analysis of non-classically damped linear systems publication-title: Earthq Eng Struct Dynam – start-page: 226 year: 1996 end-page: 331 ident: b0085 article-title: A density-based algorithm for discovering clusters in large spatial databases with noise publication-title: Proceedings of 2nd international conference on knowledge discovery and data mining – volume: 13 start-page: 855 year: 1999 ident: 10.1016/j.engstruct.2018.09.091_b0040 article-title: Reference-base stochastic subspace identfication for output-only modal analysis publication-title: Mech Syst Signal Process doi: 10.1006/mssp.1999.1249 – volume: 20 start-page: 882 year: 2012 ident: 10.1016/j.engstruct.2018.09.091_b0045 article-title: Fast multi-order computation of system matrices in subspace-based system identification publication-title: Control Eng Pract doi: 10.1016/j.conengprac.2012.05.005 – year: 1992 ident: 10.1016/j.engstruct.2018.09.091_b0060 – year: 1999 ident: 10.1016/j.engstruct.2018.09.091_b0025 article-title: OPTICS: ordering points to identify the clustering structure – volume: 14 start-page: 217 year: 1986 ident: 10.1016/j.engstruct.2018.09.091_b0050 article-title: Modal analysis of non-classically damped linear systems publication-title: Earthq Eng Struct Dynam doi: 10.1002/eqe.4290140205 – start-page: 316 year: 2009 ident: 10.1016/j.engstruct.2018.09.091_b0005 article-title: Online automatic identification of the modal parameters of a long span bridge publication-title: Mech Syst Sig Process doi: 10.1016/j.ymssp.2008.05.003 – volume: 29 start-page: 228 year: 2012 ident: 10.1016/j.engstruct.2018.09.091_b0020 article-title: Fully automated (operational) modal analysis publication-title: Mech Syst Sig Process doi: 10.1016/j.ymssp.2012.01.007 – start-page: 226 year: 1996 ident: 10.1016/j.engstruct.2018.09.091_b0085 article-title: A density-based algorithm for discovering clusters in large spatial databases with noise – year: 1999 ident: 10.1016/j.engstruct.2018.09.091_b0080 article-title: OPTICS: ordering points to identify the clustering structure – year: 2015 ident: 10.1016/j.engstruct.2018.09.091_b0035 article-title: Evaluation of an automatic selection methodology of model parameters from stability diagrams on a damaged building – start-page: 14390 year: 2011 ident: 10.1016/j.engstruct.2018.09.091_b0010 article-title: Automation of the stabilization diagrams for subspace based system identification publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2011.04.021 – year: 2013 ident: 10.1016/j.engstruct.2018.09.091_b0015 article-title: Automatic operational modal analysis: challenges and practical application to a historical bridge – start-page: 197 year: 2010 ident: 10.1016/j.engstruct.2018.09.091_b0030 article-title: Structural health monitoring performance during the 2010 Gigantic Chile earthquake – start-page: 110 year: 1982 ident: 10.1016/j.engstruct.2018.09.091_b0055 article-title: A correlation coefficient for modal vector analysis
SSID	ssj0002880
Score	2.4649856
Snippet	•A density-based algorithm for manual and automatic identification is proposed.•The proposed methodology is based on OPTICS clustering algorithm.•A new... The estimation of modal parameters is a critical requirement in structural health monitoring, damage detection, design validation, among other topics. The most...
SourceID	proquest crossref elsevier
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	245
SubjectTerms	Algorithms Automation Building construction Clustering Damage detection Density distribution Earthquake damage Earthquakes OPTICS Parameter estimation Seismic activity Seismic design Seismic engineering Stability diagrams Stabilization Structural damage Structural health monitoring System identification Vibration monitoring
Title	Interpretation of stabilization diagrams using density-based clustering algorithm
URI	https://dx.doi.org/10.1016/j.engstruct.2018.09.091 https://www.proquest.com/docview/2166748369
Volume	178
WOSCitedRecordID	wos000455069800019&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: 1873-7323 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/eLvHCXMwtV1Zb9NAEF6hlAd4QJRDlJZqH3iLNnLWx3r7VlBRi6qKo6C8Wes9eijYJYlR-ffMHrbrACoIIUWOZXltZ2c8Mzv55huEXkppmFHKEAo7JFGsJEKojFBjya9sKaWr4_58zE5O8tmMvwtw26VrJ8CqKr--5lf_VdRwDIRtS2f_QtzdReEA7IPQYQtih-0fCX4NRgjBIASAFgLrCy5tttUispbjxqUJlEWwr74T687UWM4by5zgKhfnZ_XiYnX-ZZC87-kLx556tln0KMRXteXGPNfOwn5oSl2Njyd9Gn5eCv8_Ty2-NjbPMrmZc7BlToOcQ1cM0yOPfG4SzqI8MFt7e5qzmLDYlxR3Btc37WlNpqeTDN6Xerrqnwy7zzFcTnR15n-dReXljqLWd_taY83-6ACs8DBTBotwZr30BmUpz0doY__oYPa2c9c0d-31uqcfgAB_ebvfhTBrztxFKKcP0YOwtMD7XiU20R1dPUL3b0jsMXo_VA5cGzxQDtwqB3bKgQfKgXvlwJ1yPEGf3hycvj4koakGkRAKr0hqGNNKRlIJ8C0mklRGIB-h4yQxKk0110aVcSwTqWAxDV9cSip4nLCyTKWMn6JRVVf6GcJZqjMRQ8CYaJFwlQspEli92iZCPAU_sIWydp4KGRjnbeOTedFCCy-LboILO8FFxOEz3UJRN_DKk67cPmSvFUQRYkcfExagQbcP3mlFV4Q3eVnQaWYb8cQZf_4v195G9_o3aAeN4AT9At2V31YXy8VuUMYfBo6oPw
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=Interpretation+of+stabilization+diagrams+using+density-based+clustering+algorithm&rft.jtitle=Engineering+structures&rft.au=Boroschek%2C+Ruben+L.&rft.au=Bilbao%2C+Joaquin+A.&rft.date=2019-01-01&rft.pub=Elsevier+Ltd&rft.issn=0141-0296&rft.eissn=1873-7323&rft.volume=178&rft.spage=245&rft.epage=257&rft_id=info:doi/10.1016%2Fj.engstruct.2018.09.091&rft.externalDocID=S0141029617338762
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