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Developing Seismic Risk Prediction Functions for Structures
The paper presents the development of a nonlinear static displacement-based methodology for seismic risk assessment and loss estimation of stone masonry building stock of Pakistan. Experimental investigation of one-third scaled model, tested on shake table, is performed in order to obtain lateral st...
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Published in: | Shock and vibration 2018-01, Vol.2018 (2018), p.1-22 |
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creator | Khan, Akhtar Naeem Adil, Muhammad Ali, Qaisar Ahmad, N. |
description | The paper presents the development of a nonlinear static displacement-based methodology for seismic risk assessment and loss estimation of stone masonry building stock of Pakistan. Experimental investigation of one-third scaled model, tested on shake table, is performed in order to obtain lateral strength and drift limits for stone masonry and develop damage scale for performance-based assessment. Prototype buildings are designed respecting the existing building stock and investigated through nonlinear static and dynamic time history analyses. Nonlinear static mechanical models, for both global and local vulnerabilities, are developed for the considered typology which are used to derive analytical structure-dependent fragility functions considering expected sources of uncertainties explicitly in contrary to the conventional procedures. Furthermore, seismic risk assessment is performed for different scenario earthquakes and presented in terms of structure-independent fragility functions to estimate the mean damage ratio, the repair cost as a fraction of replacement cost, and casualties, with the dispersion being quantified, given source-to-site distance and magnitude for an earthquake event. The methodology is tested for seismic risk assessment of the considered typology in recent 2005 Kashmir earthquake, which is reasonably predicted. Future development of the methodology is required with additional experimental tests on rubble stone masonry material in order to increase confidence in future applications. |
doi_str_mv | 10.1155/2018/4186015 |
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Experimental investigation of one-third scaled model, tested on shake table, is performed in order to obtain lateral strength and drift limits for stone masonry and develop damage scale for performance-based assessment. Prototype buildings are designed respecting the existing building stock and investigated through nonlinear static and dynamic time history analyses. Nonlinear static mechanical models, for both global and local vulnerabilities, are developed for the considered typology which are used to derive analytical structure-dependent fragility functions considering expected sources of uncertainties explicitly in contrary to the conventional procedures. Furthermore, seismic risk assessment is performed for different scenario earthquakes and presented in terms of structure-independent fragility functions to estimate the mean damage ratio, the repair cost as a fraction of replacement cost, and casualties, with the dispersion being quantified, given source-to-site distance and magnitude for an earthquake event. The methodology is tested for seismic risk assessment of the considered typology in recent 2005 Kashmir earthquake, which is reasonably predicted. Future development of the methodology is required with additional experimental tests on rubble stone masonry material in order to increase confidence in future applications.</description><identifier>ISSN: 1070-9622</identifier><identifier>EISSN: 1875-9203</identifier><identifier>DOI: 10.1155/2018/4186015</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Aseismic buildings ; Building construction ; Casualties ; Damage assessment ; Earthquake damage ; Earthquake prediction ; Earthquakes ; Emergency preparedness ; Fragility ; Masonry ; Masonry materials ; Methodology ; Methods ; Model testing ; Nonlinear analysis ; Risk assessment ; Seismic activity ; Seismic design ; Seismic engineering ; Seismic hazard ; Seismology ; Stone ; Structural damage</subject><ispartof>Shock and vibration, 2018-01, Vol.2018 (2018), p.1-22</ispartof><rights>Copyright © 2018 Naveed Ahmad et al.</rights><rights>COPYRIGHT 2018 John Wiley & Sons, Inc.</rights><rights>Copyright © 2018 Naveed Ahmad et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c465t-a218ff720213bf30822d5c1e07e59945fc362a2b52623763200030f450ff20b43</citedby><cites>FETCH-LOGICAL-c465t-a218ff720213bf30822d5c1e07e59945fc362a2b52623763200030f450ff20b43</cites><orcidid>0000-0003-1275-8380</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2038228225/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2038228225?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><contributor>Karinski, Yuri S.</contributor><contributor>Yuri S Karinski</contributor><creatorcontrib>Khan, Akhtar Naeem</creatorcontrib><creatorcontrib>Adil, Muhammad</creatorcontrib><creatorcontrib>Ali, Qaisar</creatorcontrib><creatorcontrib>Ahmad, N.</creatorcontrib><title>Developing Seismic Risk Prediction Functions for Structures</title><title>Shock and vibration</title><description>The paper presents the development of a nonlinear static displacement-based methodology for seismic risk assessment and loss estimation of stone masonry building stock of Pakistan. Experimental investigation of one-third scaled model, tested on shake table, is performed in order to obtain lateral strength and drift limits for stone masonry and develop damage scale for performance-based assessment. Prototype buildings are designed respecting the existing building stock and investigated through nonlinear static and dynamic time history analyses. Nonlinear static mechanical models, for both global and local vulnerabilities, are developed for the considered typology which are used to derive analytical structure-dependent fragility functions considering expected sources of uncertainties explicitly in contrary to the conventional procedures. Furthermore, seismic risk assessment is performed for different scenario earthquakes and presented in terms of structure-independent fragility functions to estimate the mean damage ratio, the repair cost as a fraction of replacement cost, and casualties, with the dispersion being quantified, given source-to-site distance and magnitude for an earthquake event. The methodology is tested for seismic risk assessment of the considered typology in recent 2005 Kashmir earthquake, which is reasonably predicted. Future development of the methodology is required with additional experimental tests on rubble stone masonry material in order to increase confidence in future applications.</description><subject>Aseismic buildings</subject><subject>Building construction</subject><subject>Casualties</subject><subject>Damage assessment</subject><subject>Earthquake damage</subject><subject>Earthquake prediction</subject><subject>Earthquakes</subject><subject>Emergency preparedness</subject><subject>Fragility</subject><subject>Masonry</subject><subject>Masonry materials</subject><subject>Methodology</subject><subject>Methods</subject><subject>Model testing</subject><subject>Nonlinear analysis</subject><subject>Risk assessment</subject><subject>Seismic activity</subject><subject>Seismic design</subject><subject>Seismic engineering</subject><subject>Seismic hazard</subject><subject>Seismology</subject><subject>Stone</subject><subject>Structural damage</subject><issn>1070-9622</issn><issn>1875-9203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqFkc1LHTEUxQepUKvuupYBl3b05iaZzOBKbP0AQdF2HTKZ3Ne8PifPZMbS_948R3RZEsjl8svhcE5RfGVwzJiUJwisORGsqYHJrWKHNUpWLQL_lGdQULU14ufiS0pLAJC8FjvF6Xf37FZh7YdF-eB8evS2vPfpT3kXXe_t6MNQXkzD65BKCrF8GONkxym6tFdsk1klt__27ha_Ln78PL-qbm4vr8_PbiorajlWBllDpBCQ8Y44NIi9tMyBcrJthSTLazTYSayRq5pjNseBhAQihE7w3eJ61u2DWep19I8m_tPBeP26CHGhTRy9XTndklKdcNT0shVkbQdkqOuVrK1kqu2z1uGstY7haXJp1MswxSHb1zmobC1fmanjmVqYLOoHCmM0Np_e5YDC4Mjn_VnOmaMQbGPx2_zBxpBSdPRuk4HedKM33ei3bjJ-NOO__dCbv_5_9MFMu8w4Mh80Mom85S8QU5U9</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Khan, Akhtar Naeem</creator><creator>Adil, Muhammad</creator><creator>Ali, Qaisar</creator><creator>Ahmad, N.</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1275-8380</orcidid></search><sort><creationdate>20180101</creationdate><title>Developing Seismic Risk Prediction Functions for Structures</title><author>Khan, Akhtar Naeem ; Adil, Muhammad ; Ali, Qaisar ; Ahmad, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c465t-a218ff720213bf30822d5c1e07e59945fc362a2b52623763200030f450ff20b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aseismic buildings</topic><topic>Building construction</topic><topic>Casualties</topic><topic>Damage assessment</topic><topic>Earthquake damage</topic><topic>Earthquake prediction</topic><topic>Earthquakes</topic><topic>Emergency preparedness</topic><topic>Fragility</topic><topic>Masonry</topic><topic>Masonry materials</topic><topic>Methodology</topic><topic>Methods</topic><topic>Model testing</topic><topic>Nonlinear analysis</topic><topic>Risk assessment</topic><topic>Seismic activity</topic><topic>Seismic design</topic><topic>Seismic engineering</topic><topic>Seismic hazard</topic><topic>Seismology</topic><topic>Stone</topic><topic>Structural damage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khan, Akhtar Naeem</creatorcontrib><creatorcontrib>Adil, Muhammad</creatorcontrib><creatorcontrib>Ali, Qaisar</creatorcontrib><creatorcontrib>Ahmad, N.</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Shock and vibration</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khan, Akhtar Naeem</au><au>Adil, Muhammad</au><au>Ali, Qaisar</au><au>Ahmad, N.</au><au>Karinski, Yuri S.</au><au>Yuri S Karinski</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Developing Seismic Risk Prediction Functions for Structures</atitle><jtitle>Shock and vibration</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>2018</volume><issue>2018</issue><spage>1</spage><epage>22</epage><pages>1-22</pages><issn>1070-9622</issn><eissn>1875-9203</eissn><abstract>The paper presents the development of a nonlinear static displacement-based methodology for seismic risk assessment and loss estimation of stone masonry building stock of Pakistan. Experimental investigation of one-third scaled model, tested on shake table, is performed in order to obtain lateral strength and drift limits for stone masonry and develop damage scale for performance-based assessment. Prototype buildings are designed respecting the existing building stock and investigated through nonlinear static and dynamic time history analyses. Nonlinear static mechanical models, for both global and local vulnerabilities, are developed for the considered typology which are used to derive analytical structure-dependent fragility functions considering expected sources of uncertainties explicitly in contrary to the conventional procedures. Furthermore, seismic risk assessment is performed for different scenario earthquakes and presented in terms of structure-independent fragility functions to estimate the mean damage ratio, the repair cost as a fraction of replacement cost, and casualties, with the dispersion being quantified, given source-to-site distance and magnitude for an earthquake event. The methodology is tested for seismic risk assessment of the considered typology in recent 2005 Kashmir earthquake, which is reasonably predicted. Future development of the methodology is required with additional experimental tests on rubble stone masonry material in order to increase confidence in future applications.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2018/4186015</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0003-1275-8380</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aseismic buildings Building construction Casualties Damage assessment Earthquake damage Earthquake prediction Earthquakes Emergency preparedness Fragility Masonry Masonry materials Methodology Methods Model testing Nonlinear analysis Risk assessment Seismic activity Seismic design Seismic engineering Seismic hazard Seismology Stone Structural damage |
title | Developing Seismic Risk Prediction Functions for Structures |
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