Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake
The study analyses the data related to a database of 7597 private Reinforced Concrete buildings located in the city and the province of L’Aquila surveyed after the 2009 earthquake. Survey data were collected by the Italian Department of Civil Protection during post-earthquake usability inspections i...
Gespeichert in:
| Veröffentlicht in: | Bulletin of earthquake engineering 2017-04, Vol.15 (4), p.1425-1450 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1450 |
|---|---|
| container_issue | 4 |
| container_start_page | 1425 |
| container_title | Bulletin of earthquake engineering |
| container_volume | 15 |
| creator | Del Gaudio, Carlo De Martino, Giuseppina Di Ludovico, Marco Manfredi, Gaetano Prota, Andrea Ricci, Paolo Verderame, Gerardo Mario |
| description | The study analyses the data related to a database of 7597 private Reinforced Concrete buildings located in the city and the province of L’Aquila surveyed after the 2009 earthquake. Survey data were collected by the Italian Department of Civil Protection during post-earthquake usability inspections including information on building characteristics, level and extent of damage to structural and non-structural components. For each building, the Peak Ground Acceleration demand has been determined according to data available from the ShakeMap of the event and the georeferenced building location. The analysis of data highlights the key role played by the damage to non-structural components—namely, infills and partitions. Damage Grades according to the European Macroseismic Scale EMS-98 have been derived from damage data to single building components. Two building classes have been defined in the study in order to investigate the influence of number of storeys of buildings on the observed damage. Damage Probability Matrices have been derived for the assumed building classes and bins of Peak Ground Acceleration, and observed trends are analyzed. Different methodologies for estimating fragility functions from data on Damage Grades and Peak Ground Acceleration demand are illustrated, discussed and applied to the database, leading to the derivation of EMS-98-based fragility curves for the defined building classes. Finally, the proposed fragility curves are compared with main empirical fragility curves for RC buildings from literature studies. |
| doi_str_mv | 10.1007/s10518-016-0026-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_sprin</sourceid><recordid>TN_cdi_proquest_miscellaneous_1893904612</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1881752246</sourcerecordid><originalsourceid>FETCH-LOGICAL-p222t-80a509699e4c2145d70a62f7fd30c52f40e9e139e992e16d17217238c71a03a33</originalsourceid><addsrcrecordid>eNqNkc1KAzEQx4MoWKsP4C3gxUt0Jtkkm2MpfkFBEAVva9zNtlv3o012BW--hq_nk5haD-JJGJhh5sd8_Qk5RjhDAH0eECSmDFAxAK4Y7pARSi0YJlLtfsfAtMLHfXIQwjIyUhsYkaeLZlX5Krc1Lb2dV3XVv9F88K8uxETX0MI2du6i6y3tWno3pc9DVRdVOw_Ulr3ztF84ygEMnX2-f0zWsWqps75frAf74g7JXmnr4I5-_Jg8XF7cT6_Z7PbqZjqZsRXnvGcpWAlGGeOSnMedCw1W8VKXhYBc8jIBZxwK44zhDlWBmkcTaa7RgrBCjMnptu_Kd-vBhT5rqpC7urat64aQYWqEgUQh_weaopacJyqiJ3_QZTf4Nh4SKS2F4GA2s_mWCisfH-P8LwqyjT7ZVp8s6pNt9MlQfAF1kYD6</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1875332093</pqid></control><display><type>article</type><title>Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake</title><source>SpringerNature Journals</source><creator>Del Gaudio, Carlo ; De Martino, Giuseppina ; Di Ludovico, Marco ; Manfredi, Gaetano ; Prota, Andrea ; Ricci, Paolo ; Verderame, Gerardo Mario</creator><creatorcontrib>Del Gaudio, Carlo ; De Martino, Giuseppina ; Di Ludovico, Marco ; Manfredi, Gaetano ; Prota, Andrea ; Ricci, Paolo ; Verderame, Gerardo Mario</creatorcontrib><description>The study analyses the data related to a database of 7597 private Reinforced Concrete buildings located in the city and the province of L’Aquila surveyed after the 2009 earthquake. Survey data were collected by the Italian Department of Civil Protection during post-earthquake usability inspections including information on building characteristics, level and extent of damage to structural and non-structural components. For each building, the Peak Ground Acceleration demand has been determined according to data available from the ShakeMap of the event and the georeferenced building location. The analysis of data highlights the key role played by the damage to non-structural components—namely, infills and partitions. Damage Grades according to the European Macroseismic Scale EMS-98 have been derived from damage data to single building components. Two building classes have been defined in the study in order to investigate the influence of number of storeys of buildings on the observed damage. Damage Probability Matrices have been derived for the assumed building classes and bins of Peak Ground Acceleration, and observed trends are analyzed. Different methodologies for estimating fragility functions from data on Damage Grades and Peak Ground Acceleration demand are illustrated, discussed and applied to the database, leading to the derivation of EMS-98-based fragility curves for the defined building classes. Finally, the proposed fragility curves are compared with main empirical fragility curves for RC buildings from literature studies.</description><identifier>ISSN: 1570-761X</identifier><identifier>EISSN: 1573-1456</identifier><identifier>DOI: 10.1007/s10518-016-0026-1</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Acceleration ; Buildings ; Civil Engineering ; Concrete ; Demand ; Earth and Environmental Science ; Earth Sciences ; Earthquake construction ; Earthquake damage ; Earthquake engineering ; Earthquakes ; Environmental Engineering/Biotechnology ; Fragility ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Original Research Paper ; Reinforced concrete ; Seismic activity ; Seismic engineering ; Structural Geology</subject><ispartof>Bulletin of earthquake engineering, 2017-04, Vol.15 (4), p.1425-1450</ispartof><rights>Springer Science+Business Media Dordrecht 2016</rights><rights>Bulletin of Earthquake Engineering is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-p222t-80a509699e4c2145d70a62f7fd30c52f40e9e139e992e16d17217238c71a03a33</cites><orcidid>0000-0002-6010-1757</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10518-016-0026-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10518-016-0026-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Del Gaudio, Carlo</creatorcontrib><creatorcontrib>De Martino, Giuseppina</creatorcontrib><creatorcontrib>Di Ludovico, Marco</creatorcontrib><creatorcontrib>Manfredi, Gaetano</creatorcontrib><creatorcontrib>Prota, Andrea</creatorcontrib><creatorcontrib>Ricci, Paolo</creatorcontrib><creatorcontrib>Verderame, Gerardo Mario</creatorcontrib><title>Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake</title><title>Bulletin of earthquake engineering</title><addtitle>Bull Earthquake Eng</addtitle><description>The study analyses the data related to a database of 7597 private Reinforced Concrete buildings located in the city and the province of L’Aquila surveyed after the 2009 earthquake. Survey data were collected by the Italian Department of Civil Protection during post-earthquake usability inspections including information on building characteristics, level and extent of damage to structural and non-structural components. For each building, the Peak Ground Acceleration demand has been determined according to data available from the ShakeMap of the event and the georeferenced building location. The analysis of data highlights the key role played by the damage to non-structural components—namely, infills and partitions. Damage Grades according to the European Macroseismic Scale EMS-98 have been derived from damage data to single building components. Two building classes have been defined in the study in order to investigate the influence of number of storeys of buildings on the observed damage. Damage Probability Matrices have been derived for the assumed building classes and bins of Peak Ground Acceleration, and observed trends are analyzed. Different methodologies for estimating fragility functions from data on Damage Grades and Peak Ground Acceleration demand are illustrated, discussed and applied to the database, leading to the derivation of EMS-98-based fragility curves for the defined building classes. Finally, the proposed fragility curves are compared with main empirical fragility curves for RC buildings from literature studies.</description><subject>Acceleration</subject><subject>Buildings</subject><subject>Civil Engineering</subject><subject>Concrete</subject><subject>Demand</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earthquake construction</subject><subject>Earthquake damage</subject><subject>Earthquake engineering</subject><subject>Earthquakes</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Fragility</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Original Research Paper</subject><subject>Reinforced concrete</subject><subject>Seismic activity</subject><subject>Seismic engineering</subject><subject>Structural Geology</subject><issn>1570-761X</issn><issn>1573-1456</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkc1KAzEQx4MoWKsP4C3gxUt0Jtkkm2MpfkFBEAVva9zNtlv3o012BW--hq_nk5haD-JJGJhh5sd8_Qk5RjhDAH0eECSmDFAxAK4Y7pARSi0YJlLtfsfAtMLHfXIQwjIyUhsYkaeLZlX5Krc1Lb2dV3XVv9F88K8uxETX0MI2du6i6y3tWno3pc9DVRdVOw_Ulr3ztF84ygEMnX2-f0zWsWqps75frAf74g7JXmnr4I5-_Jg8XF7cT6_Z7PbqZjqZsRXnvGcpWAlGGeOSnMedCw1W8VKXhYBc8jIBZxwK44zhDlWBmkcTaa7RgrBCjMnptu_Kd-vBhT5rqpC7urat64aQYWqEgUQh_weaopacJyqiJ3_QZTf4Nh4SKS2F4GA2s_mWCisfH-P8LwqyjT7ZVp8s6pNt9MlQfAF1kYD6</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Del Gaudio, Carlo</creator><creator>De Martino, Giuseppina</creator><creator>Di Ludovico, Marco</creator><creator>Manfredi, Gaetano</creator><creator>Prota, Andrea</creator><creator>Ricci, Paolo</creator><creator>Verderame, Gerardo Mario</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7SM</scope><orcidid>https://orcid.org/0000-0002-6010-1757</orcidid></search><sort><creationdate>20170401</creationdate><title>Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake</title><author>Del Gaudio, Carlo ; De Martino, Giuseppina ; Di Ludovico, Marco ; Manfredi, Gaetano ; Prota, Andrea ; Ricci, Paolo ; Verderame, Gerardo Mario</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p222t-80a509699e4c2145d70a62f7fd30c52f40e9e139e992e16d17217238c71a03a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acceleration</topic><topic>Buildings</topic><topic>Civil Engineering</topic><topic>Concrete</topic><topic>Demand</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earthquake construction</topic><topic>Earthquake damage</topic><topic>Earthquake engineering</topic><topic>Earthquakes</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Fragility</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Original Research Paper</topic><topic>Reinforced concrete</topic><topic>Seismic activity</topic><topic>Seismic engineering</topic><topic>Structural Geology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Del Gaudio, Carlo</creatorcontrib><creatorcontrib>De Martino, Giuseppina</creatorcontrib><creatorcontrib>Di Ludovico, Marco</creatorcontrib><creatorcontrib>Manfredi, Gaetano</creatorcontrib><creatorcontrib>Prota, Andrea</creatorcontrib><creatorcontrib>Ricci, Paolo</creatorcontrib><creatorcontrib>Verderame, Gerardo Mario</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Earthquake Engineering Abstracts</collection><jtitle>Bulletin of earthquake engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Del Gaudio, Carlo</au><au>De Martino, Giuseppina</au><au>Di Ludovico, Marco</au><au>Manfredi, Gaetano</au><au>Prota, Andrea</au><au>Ricci, Paolo</au><au>Verderame, Gerardo Mario</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake</atitle><jtitle>Bulletin of earthquake engineering</jtitle><stitle>Bull Earthquake Eng</stitle><date>2017-04-01</date><risdate>2017</risdate><volume>15</volume><issue>4</issue><spage>1425</spage><epage>1450</epage><pages>1425-1450</pages><issn>1570-761X</issn><eissn>1573-1456</eissn><abstract>The study analyses the data related to a database of 7597 private Reinforced Concrete buildings located in the city and the province of L’Aquila surveyed after the 2009 earthquake. Survey data were collected by the Italian Department of Civil Protection during post-earthquake usability inspections including information on building characteristics, level and extent of damage to structural and non-structural components. For each building, the Peak Ground Acceleration demand has been determined according to data available from the ShakeMap of the event and the georeferenced building location. The analysis of data highlights the key role played by the damage to non-structural components—namely, infills and partitions. Damage Grades according to the European Macroseismic Scale EMS-98 have been derived from damage data to single building components. Two building classes have been defined in the study in order to investigate the influence of number of storeys of buildings on the observed damage. Damage Probability Matrices have been derived for the assumed building classes and bins of Peak Ground Acceleration, and observed trends are analyzed. Different methodologies for estimating fragility functions from data on Damage Grades and Peak Ground Acceleration demand are illustrated, discussed and applied to the database, leading to the derivation of EMS-98-based fragility curves for the defined building classes. Finally, the proposed fragility curves are compared with main empirical fragility curves for RC buildings from literature studies.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10518-016-0026-1</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0002-6010-1757</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1570-761X |
| ispartof | Bulletin of earthquake engineering, 2017-04, Vol.15 (4), p.1425-1450 |
| issn | 1570-761X 1573-1456 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1893904612 |
| source | SpringerNature Journals |
| subjects | Acceleration Buildings Civil Engineering Concrete Demand Earth and Environmental Science Earth Sciences Earthquake construction Earthquake damage Earthquake engineering Earthquakes Environmental Engineering/Biotechnology Fragility Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Original Research Paper Reinforced concrete Seismic activity Seismic engineering Structural Geology |
| title | Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T08%3A20%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_sprin&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Empirical%20fragility%20curves%20from%20damage%20data%20on%20RC%20buildings%20after%20the%202009%20L%E2%80%99Aquila%20earthquake&rft.jtitle=Bulletin%20of%20earthquake%20engineering&rft.au=Del%20Gaudio,%20Carlo&rft.date=2017-04-01&rft.volume=15&rft.issue=4&rft.spage=1425&rft.epage=1450&rft.pages=1425-1450&rft.issn=1570-761X&rft.eissn=1573-1456&rft_id=info:doi/10.1007/s10518-016-0026-1&rft_dat=%3Cproquest_sprin%3E1881752246%3C/proquest_sprin%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1875332093&rft_id=info:pmid/&rfr_iscdi=true |