Tracking modal parameters from building seismic response data using recursive subspace identification algorithm
Summary Tracking modal parameters and estimating the current structural state of a building from seismic response measurements, particularly during strong earthquake excitations, can provide useful information for building safety assessment and the adaptive control of a structure. Therefore, online...
Gespeichert in:
| Veröffentlicht in: | Earthquake engineering & structural dynamics 2017-10, Vol.46 (13), p.2163-2183 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2183 |
|---|---|
| container_issue | 13 |
| container_start_page | 2163 |
| container_title | Earthquake engineering & structural dynamics |
| container_volume | 46 |
| creator | Loh, Chin‐Hsiung Chen, Jun‐Da |
| description | Summary
Tracking modal parameters and estimating the current structural state of a building from seismic response measurements, particularly during strong earthquake excitations, can provide useful information for building safety assessment and the adaptive control of a structure. Therefore, online or recursive identification techniques need to be developed and implemented for building seismic response monitoring. This paper develops and examines different methods to track modal parameters from building seismic response data. The methods include recursive data‐driven subspace identification (RSI‐DATA) using Givens rotation algorithm, and RSI‐DATA using Bona fide algorithm. The question on how well the results of RSI‐DATA reflect the real condition is investigated and verified with a bilinear SDOF simulation study. Time‐varying modal parameters of a four‐story reinforced concrete school building are identified based on a series of earthquake excitations, including several seismic events, large and small. Discussions on the different methods' ability to track the time‐varying modal parameters are presented. The variation of the identified building modal frequencies and damping ratios from a series of event‐by‐event seismic responses, particularly before and after retrofitting of the building is also discussed. Copyright © 2017 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/eqe.2900 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1938106576</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1938106576</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3590-b6c9596ef336f175617ba57782e5a8e45b10d3cc6f3c5b44f150808f5ea893883</originalsourceid><addsrcrecordid>eNp10F9LwzAUBfAgCs4p-BECvvjSebM2afooY_4BQYT5HNL0Zma2TZe0yr69rfPVp_twfpwLh5BrBgsGsLzDPS6WBcAJmTEoRFLIjJ-SGUAhEymz_JxcxLgDgFRAPiN-E7T5dO2WNr7SNe100A32GCK1wTe0HFxdTXFEFxtnaMDY-TYirXSv6RCnLKAZQnRfSONQxk4bpK7CtnfWGd0731Jdb31w_UdzSc6sriNe_d05eX9Yb1ZPycvr4_Pq_iUxKS8gKYUpeCHQpqmwLOeC5aXmeS6XyLXEjJcMqtQYYVPDyyyzjIMEaTlqWaRSpnNyc-ztgt8PGHu180Nox5eKjYCB4LkY1e1RmeBjDGhVF1yjw0ExUNOcapxTTXOONDnSb1fj4V-n1m_rX_8DKtR39A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1938106576</pqid></control><display><type>article</type><title>Tracking modal parameters from building seismic response data using recursive subspace identification algorithm</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Loh, Chin‐Hsiung ; Chen, Jun‐Da</creator><creatorcontrib>Loh, Chin‐Hsiung ; Chen, Jun‐Da</creatorcontrib><description>Summary
Tracking modal parameters and estimating the current structural state of a building from seismic response measurements, particularly during strong earthquake excitations, can provide useful information for building safety assessment and the adaptive control of a structure. Therefore, online or recursive identification techniques need to be developed and implemented for building seismic response monitoring. This paper develops and examines different methods to track modal parameters from building seismic response data. The methods include recursive data‐driven subspace identification (RSI‐DATA) using Givens rotation algorithm, and RSI‐DATA using Bona fide algorithm. The question on how well the results of RSI‐DATA reflect the real condition is investigated and verified with a bilinear SDOF simulation study. Time‐varying modal parameters of a four‐story reinforced concrete school building are identified based on a series of earthquake excitations, including several seismic events, large and small. Discussions on the different methods' ability to track the time‐varying modal parameters are presented. The variation of the identified building modal frequencies and damping ratios from a series of event‐by‐event seismic responses, particularly before and after retrofitting of the building is also discussed. Copyright © 2017 John Wiley & Sons, Ltd.</description><identifier>ISSN: 0098-8847</identifier><identifier>EISSN: 1096-9845</identifier><identifier>DOI: 10.1002/eqe.2900</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>Adaptive control ; Algorithms ; Aseismic buildings ; Bayesian analysis ; Bona fide algorithm ; building seismic response ; Computer simulation ; Concrete ; Concrete construction ; Damping ; Damping ratio ; Data ; data‐driven recursive subspace identification ; Earthquake construction ; Earthquake dampers ; Earthquakes ; givens rotation ; Identification ; Identification methods ; Mathematical models ; Parameter estimation ; Parameter identification ; Parameters ; Ratios ; Recursive methods ; Reinforced concrete ; Retrofitting ; Rotation ; Seismic activity ; Seismic response ; Simulation ; Tracking</subject><ispartof>Earthquake engineering & structural dynamics, 2017-10, Vol.46 (13), p.2163-2183</ispartof><rights>Copyright © 2017 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3590-b6c9596ef336f175617ba57782e5a8e45b10d3cc6f3c5b44f150808f5ea893883</citedby><cites>FETCH-LOGICAL-c3590-b6c9596ef336f175617ba57782e5a8e45b10d3cc6f3c5b44f150808f5ea893883</cites><orcidid>0000-0003-1007-5041</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Feqe.2900$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Feqe.2900$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27922,27923,45572,45573</link.rule.ids></links><search><creatorcontrib>Loh, Chin‐Hsiung</creatorcontrib><creatorcontrib>Chen, Jun‐Da</creatorcontrib><title>Tracking modal parameters from building seismic response data using recursive subspace identification algorithm</title><title>Earthquake engineering & structural dynamics</title><description>Summary
Tracking modal parameters and estimating the current structural state of a building from seismic response measurements, particularly during strong earthquake excitations, can provide useful information for building safety assessment and the adaptive control of a structure. Therefore, online or recursive identification techniques need to be developed and implemented for building seismic response monitoring. This paper develops and examines different methods to track modal parameters from building seismic response data. The methods include recursive data‐driven subspace identification (RSI‐DATA) using Givens rotation algorithm, and RSI‐DATA using Bona fide algorithm. The question on how well the results of RSI‐DATA reflect the real condition is investigated and verified with a bilinear SDOF simulation study. Time‐varying modal parameters of a four‐story reinforced concrete school building are identified based on a series of earthquake excitations, including several seismic events, large and small. Discussions on the different methods' ability to track the time‐varying modal parameters are presented. The variation of the identified building modal frequencies and damping ratios from a series of event‐by‐event seismic responses, particularly before and after retrofitting of the building is also discussed. Copyright © 2017 John Wiley & Sons, Ltd.</description><subject>Adaptive control</subject><subject>Algorithms</subject><subject>Aseismic buildings</subject><subject>Bayesian analysis</subject><subject>Bona fide algorithm</subject><subject>building seismic response</subject><subject>Computer simulation</subject><subject>Concrete</subject><subject>Concrete construction</subject><subject>Damping</subject><subject>Damping ratio</subject><subject>Data</subject><subject>data‐driven recursive subspace identification</subject><subject>Earthquake construction</subject><subject>Earthquake dampers</subject><subject>Earthquakes</subject><subject>givens rotation</subject><subject>Identification</subject><subject>Identification methods</subject><subject>Mathematical models</subject><subject>Parameter estimation</subject><subject>Parameter identification</subject><subject>Parameters</subject><subject>Ratios</subject><subject>Recursive methods</subject><subject>Reinforced concrete</subject><subject>Retrofitting</subject><subject>Rotation</subject><subject>Seismic activity</subject><subject>Seismic response</subject><subject>Simulation</subject><subject>Tracking</subject><issn>0098-8847</issn><issn>1096-9845</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp10F9LwzAUBfAgCs4p-BECvvjSebM2afooY_4BQYT5HNL0Zma2TZe0yr69rfPVp_twfpwLh5BrBgsGsLzDPS6WBcAJmTEoRFLIjJ-SGUAhEymz_JxcxLgDgFRAPiN-E7T5dO2WNr7SNe100A32GCK1wTe0HFxdTXFEFxtnaMDY-TYirXSv6RCnLKAZQnRfSONQxk4bpK7CtnfWGd0731Jdb31w_UdzSc6sriNe_d05eX9Yb1ZPycvr4_Pq_iUxKS8gKYUpeCHQpqmwLOeC5aXmeS6XyLXEjJcMqtQYYVPDyyyzjIMEaTlqWaRSpnNyc-ztgt8PGHu180Nox5eKjYCB4LkY1e1RmeBjDGhVF1yjw0ExUNOcapxTTXOONDnSb1fj4V-n1m_rX_8DKtR39A</recordid><startdate>20171025</startdate><enddate>20171025</enddate><creator>Loh, Chin‐Hsiung</creator><creator>Chen, Jun‐Da</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-1007-5041</orcidid></search><sort><creationdate>20171025</creationdate><title>Tracking modal parameters from building seismic response data using recursive subspace identification algorithm</title><author>Loh, Chin‐Hsiung ; Chen, Jun‐Da</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3590-b6c9596ef336f175617ba57782e5a8e45b10d3cc6f3c5b44f150808f5ea893883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adaptive control</topic><topic>Algorithms</topic><topic>Aseismic buildings</topic><topic>Bayesian analysis</topic><topic>Bona fide algorithm</topic><topic>building seismic response</topic><topic>Computer simulation</topic><topic>Concrete</topic><topic>Concrete construction</topic><topic>Damping</topic><topic>Damping ratio</topic><topic>Data</topic><topic>data‐driven recursive subspace identification</topic><topic>Earthquake construction</topic><topic>Earthquake dampers</topic><topic>Earthquakes</topic><topic>givens rotation</topic><topic>Identification</topic><topic>Identification methods</topic><topic>Mathematical models</topic><topic>Parameter estimation</topic><topic>Parameter identification</topic><topic>Parameters</topic><topic>Ratios</topic><topic>Recursive methods</topic><topic>Reinforced concrete</topic><topic>Retrofitting</topic><topic>Rotation</topic><topic>Seismic activity</topic><topic>Seismic response</topic><topic>Simulation</topic><topic>Tracking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Loh, Chin‐Hsiung</creatorcontrib><creatorcontrib>Chen, Jun‐Da</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Earthquake engineering & structural dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Loh, Chin‐Hsiung</au><au>Chen, Jun‐Da</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tracking modal parameters from building seismic response data using recursive subspace identification algorithm</atitle><jtitle>Earthquake engineering & structural dynamics</jtitle><date>2017-10-25</date><risdate>2017</risdate><volume>46</volume><issue>13</issue><spage>2163</spage><epage>2183</epage><pages>2163-2183</pages><issn>0098-8847</issn><eissn>1096-9845</eissn><abstract>Summary
Tracking modal parameters and estimating the current structural state of a building from seismic response measurements, particularly during strong earthquake excitations, can provide useful information for building safety assessment and the adaptive control of a structure. Therefore, online or recursive identification techniques need to be developed and implemented for building seismic response monitoring. This paper develops and examines different methods to track modal parameters from building seismic response data. The methods include recursive data‐driven subspace identification (RSI‐DATA) using Givens rotation algorithm, and RSI‐DATA using Bona fide algorithm. The question on how well the results of RSI‐DATA reflect the real condition is investigated and verified with a bilinear SDOF simulation study. Time‐varying modal parameters of a four‐story reinforced concrete school building are identified based on a series of earthquake excitations, including several seismic events, large and small. Discussions on the different methods' ability to track the time‐varying modal parameters are presented. The variation of the identified building modal frequencies and damping ratios from a series of event‐by‐event seismic responses, particularly before and after retrofitting of the building is also discussed. Copyright © 2017 John Wiley & Sons, Ltd.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/eqe.2900</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0003-1007-5041</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0098-8847 |
| ispartof | Earthquake engineering & structural dynamics, 2017-10, Vol.46 (13), p.2163-2183 |
| issn | 0098-8847 1096-9845 |
| language | eng |
| recordid | cdi_proquest_journals_1938106576 |
| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Adaptive control Algorithms Aseismic buildings Bayesian analysis Bona fide algorithm building seismic response Computer simulation Concrete Concrete construction Damping Damping ratio Data data‐driven recursive subspace identification Earthquake construction Earthquake dampers Earthquakes givens rotation Identification Identification methods Mathematical models Parameter estimation Parameter identification Parameters Ratios Recursive methods Reinforced concrete Retrofitting Rotation Seismic activity Seismic response Simulation Tracking |
| title | Tracking modal parameters from building seismic response data using recursive subspace identification algorithm |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T23%3A00%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tracking%20modal%20parameters%20from%20building%20seismic%20response%20data%20using%20recursive%20subspace%20identification%20algorithm&rft.jtitle=Earthquake%20engineering%20&%20structural%20dynamics&rft.au=Loh,%20Chin%E2%80%90Hsiung&rft.date=2017-10-25&rft.volume=46&rft.issue=13&rft.spage=2163&rft.epage=2183&rft.pages=2163-2183&rft.issn=0098-8847&rft.eissn=1096-9845&rft_id=info:doi/10.1002/eqe.2900&rft_dat=%3Cproquest_cross%3E1938106576%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1938106576&rft_id=info:pmid/&rfr_iscdi=true |