Simulation‐based characterization of the variability of earthquake risk to buildings in the near‐field
Recent advancements in high performance computing platforms and computational workflow for regional‐scale simulations are enabling unprecedented modeling of fault‐to‐structure earthquake processes. Regional simulations resolving ground motions at frequencies relevant to engineered systems are becomi...
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Veröffentlicht in: | Earthquake engineering & structural dynamics 2024-01, Vol.53 (1), p.237-260 |
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description | Recent advancements in high performance computing platforms and computational workflow for regional‐scale simulations are enabling unprecedented modeling of fault‐to‐structure earthquake processes. Regional simulations resolving ground motions at frequencies relevant to engineered systems are becoming computationally viable and provide a new capability to improve understanding of the geographical distribution and intensity of risk to buildings and critical infrastructure. As computational capabilities advance, it is essential to move beyond illustrative single rupture realizations for scenario earthquake events towards the development of a full suite of rupture realizations that appropriately characterize the range of risk to building systems. The work described in this article investigates the application of a suite of fault rupture realizations with the objective of assessing near‐fault, site‐specific seismic demand variability for building structures. A representative high‐performance regional‐scale computational model is utilized to execute ground motion and building response simulations based on 18 kinematic rupture realizations of an M7 strike‐slip scenario earthquake. The fault rupture models for the scenario earthquake are created by systematically perturbing the hypocenter location and stochastically generating rupture parameters (slip, rise time, rake angle) to represent a breadth of ground motion intensities resulting from the spatial and temporal variabilities of an earthquake rupture process. The resulting seismic demand variability for three‐story (short period) and forty‐story (long period) steel moment‐resisting frame buildings is characterized in terms of the median and distribution of peak inter‐story drift ratio for a range of near‐fault sites. The full suite of 18 fault rupture realizations and approximately 280,000 nonlinear dynamic building simulations indicate that the three‐story building undergoes higher median seismic demand and significantly greater variability of demand at a given site than the forty‐story building, which has important implications for the level of certainty in predicting building performance during an earthquake. The simulations performed provide deeper insight into the relationship between fault rupture parameterization and building response, which is essential information for developing a representative suite of rupture realizations for specific earthquake scenarios. |
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Regional simulations resolving ground motions at frequencies relevant to engineered systems are becoming computationally viable and provide a new capability to improve understanding of the geographical distribution and intensity of risk to buildings and critical infrastructure. As computational capabilities advance, it is essential to move beyond illustrative single rupture realizations for scenario earthquake events towards the development of a full suite of rupture realizations that appropriately characterize the range of risk to building systems. The work described in this article investigates the application of a suite of fault rupture realizations with the objective of assessing near‐fault, site‐specific seismic demand variability for building structures. A representative high‐performance regional‐scale computational model is utilized to execute ground motion and building response simulations based on 18 kinematic rupture realizations of an M7 strike‐slip scenario earthquake. The fault rupture models for the scenario earthquake are created by systematically perturbing the hypocenter location and stochastically generating rupture parameters (slip, rise time, rake angle) to represent a breadth of ground motion intensities resulting from the spatial and temporal variabilities of an earthquake rupture process. The resulting seismic demand variability for three‐story (short period) and forty‐story (long period) steel moment‐resisting frame buildings is characterized in terms of the median and distribution of peak inter‐story drift ratio for a range of near‐fault sites. The full suite of 18 fault rupture realizations and approximately 280,000 nonlinear dynamic building simulations indicate that the three‐story building undergoes higher median seismic demand and significantly greater variability of demand at a given site than the forty‐story building, which has important implications for the level of certainty in predicting building performance during an earthquake. The simulations performed provide deeper insight into the relationship between fault rupture parameterization and building response, which is essential information for developing a representative suite of rupture realizations for specific earthquake scenarios.</description><identifier>ISSN: 0098-8847</identifier><identifier>EISSN: 1096-9845</identifier><identifier>DOI: 10.1002/eqe.4007</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>building drift statistics ; Computer applications ; Critical infrastructure ; Dynamical systems ; Earthquake prediction ; Earthquakes ; Environmental risk ; Fault lines ; fault rupture modeling ; Frame structures ; Geographical distribution ; Ground motion ; ground motion simulation ; HPC ; Kinematics ; near‐fault variability ; Nonlinear dynamics ; Parameterization ; Performance prediction ; Rake angle ; Risk ; Rupture ; Seismic activity ; Simulation ; Steel frames ; Variability ; Workflow</subject><ispartof>Earthquake engineering & structural dynamics, 2024-01, Vol.53 (1), p.237-260</ispartof><rights>2023 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2023. 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Regional simulations resolving ground motions at frequencies relevant to engineered systems are becoming computationally viable and provide a new capability to improve understanding of the geographical distribution and intensity of risk to buildings and critical infrastructure. As computational capabilities advance, it is essential to move beyond illustrative single rupture realizations for scenario earthquake events towards the development of a full suite of rupture realizations that appropriately characterize the range of risk to building systems. The work described in this article investigates the application of a suite of fault rupture realizations with the objective of assessing near‐fault, site‐specific seismic demand variability for building structures. A representative high‐performance regional‐scale computational model is utilized to execute ground motion and building response simulations based on 18 kinematic rupture realizations of an M7 strike‐slip scenario earthquake. The fault rupture models for the scenario earthquake are created by systematically perturbing the hypocenter location and stochastically generating rupture parameters (slip, rise time, rake angle) to represent a breadth of ground motion intensities resulting from the spatial and temporal variabilities of an earthquake rupture process. The resulting seismic demand variability for three‐story (short period) and forty‐story (long period) steel moment‐resisting frame buildings is characterized in terms of the median and distribution of peak inter‐story drift ratio for a range of near‐fault sites. The full suite of 18 fault rupture realizations and approximately 280,000 nonlinear dynamic building simulations indicate that the three‐story building undergoes higher median seismic demand and significantly greater variability of demand at a given site than the forty‐story building, which has important implications for the level of certainty in predicting building performance during an earthquake. The simulations performed provide deeper insight into the relationship between fault rupture parameterization and building response, which is essential information for developing a representative suite of rupture realizations for specific earthquake scenarios.</description><subject>building drift statistics</subject><subject>Computer applications</subject><subject>Critical infrastructure</subject><subject>Dynamical systems</subject><subject>Earthquake prediction</subject><subject>Earthquakes</subject><subject>Environmental risk</subject><subject>Fault lines</subject><subject>fault rupture modeling</subject><subject>Frame structures</subject><subject>Geographical distribution</subject><subject>Ground motion</subject><subject>ground motion simulation</subject><subject>HPC</subject><subject>Kinematics</subject><subject>near‐fault variability</subject><subject>Nonlinear dynamics</subject><subject>Parameterization</subject><subject>Performance prediction</subject><subject>Rake angle</subject><subject>Risk</subject><subject>Rupture</subject><subject>Seismic activity</subject><subject>Simulation</subject><subject>Steel frames</subject><subject>Variability</subject><subject>Workflow</subject><issn>0098-8847</issn><issn>1096-9845</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp10M1KAzEQB_AgCtYq-AgLXrxsnaTZTXIUqR9QEFHPIZud2LTb3TbZVerJR_AZfRK3rVdPAzO_mYE_IecURhSAXeEaRxxAHJABBZWnSvLskAwAlEyl5OKYnMQ4B4BxDmJA5s9-2VWm9U398_VdmIhlYmcmGNti8J-7QdK4pJ1h8m6CN4WvfLvZttCEdrbuzAKT4OMiaZuk6HxV-votJr7erdQ96u86j1V5So6cqSKe_dUheb2dvNzcp9PHu4eb62lqmZQizTiVOXDJxooLhyCcGSuFBS9EVkCWUepsaQsDJgeXW6BWZKWzhnEFyByOh-Rif3cVmnWHsdXzpgt1_1IzBUClYCzr1eVe2dDEGNDpVfBLEzaagt4mqfsk9TbJnqZ7-uEr3Pzr9ORpsvO_DyV3uw</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Miah, Mamun</creator><creator>McCallen, David</creator><creator>Pitarka, Arben</creator><creator>Petrone, Floriana</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><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/0000-0003-4825-3413</orcidid></search><sort><creationdate>202401</creationdate><title>Simulation‐based characterization of the variability of earthquake risk to buildings in the near‐field</title><author>Miah, Mamun ; McCallen, David ; Pitarka, Arben ; Petrone, Floriana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2887-5418604823947fe07fa399eb4b75b05511fcdcba0a60f6c01c75dfca2490e2fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>building drift statistics</topic><topic>Computer applications</topic><topic>Critical infrastructure</topic><topic>Dynamical systems</topic><topic>Earthquake prediction</topic><topic>Earthquakes</topic><topic>Environmental risk</topic><topic>Fault lines</topic><topic>fault rupture modeling</topic><topic>Frame structures</topic><topic>Geographical distribution</topic><topic>Ground motion</topic><topic>ground motion simulation</topic><topic>HPC</topic><topic>Kinematics</topic><topic>near‐fault variability</topic><topic>Nonlinear dynamics</topic><topic>Parameterization</topic><topic>Performance prediction</topic><topic>Rake angle</topic><topic>Risk</topic><topic>Rupture</topic><topic>Seismic activity</topic><topic>Simulation</topic><topic>Steel frames</topic><topic>Variability</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miah, Mamun</creatorcontrib><creatorcontrib>McCallen, David</creatorcontrib><creatorcontrib>Pitarka, Arben</creatorcontrib><creatorcontrib>Petrone, Floriana</creatorcontrib><collection>Wiley Online Library Open Access</collection><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>Miah, Mamun</au><au>McCallen, David</au><au>Pitarka, Arben</au><au>Petrone, Floriana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation‐based characterization of the variability of earthquake risk to buildings in the near‐field</atitle><jtitle>Earthquake engineering & structural dynamics</jtitle><date>2024-01</date><risdate>2024</risdate><volume>53</volume><issue>1</issue><spage>237</spage><epage>260</epage><pages>237-260</pages><issn>0098-8847</issn><eissn>1096-9845</eissn><abstract>Recent advancements in high performance computing platforms and computational workflow for regional‐scale simulations are enabling unprecedented modeling of fault‐to‐structure earthquake processes. 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The fault rupture models for the scenario earthquake are created by systematically perturbing the hypocenter location and stochastically generating rupture parameters (slip, rise time, rake angle) to represent a breadth of ground motion intensities resulting from the spatial and temporal variabilities of an earthquake rupture process. The resulting seismic demand variability for three‐story (short period) and forty‐story (long period) steel moment‐resisting frame buildings is characterized in terms of the median and distribution of peak inter‐story drift ratio for a range of near‐fault sites. The full suite of 18 fault rupture realizations and approximately 280,000 nonlinear dynamic building simulations indicate that the three‐story building undergoes higher median seismic demand and significantly greater variability of demand at a given site than the forty‐story building, which has important implications for the level of certainty in predicting building performance during an earthquake. The simulations performed provide deeper insight into the relationship between fault rupture parameterization and building response, which is essential information for developing a representative suite of rupture realizations for specific earthquake scenarios.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/eqe.4007</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0003-4825-3413</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | building drift statistics Computer applications Critical infrastructure Dynamical systems Earthquake prediction Earthquakes Environmental risk Fault lines fault rupture modeling Frame structures Geographical distribution Ground motion ground motion simulation HPC Kinematics near‐fault variability Nonlinear dynamics Parameterization Performance prediction Rake angle Risk Rupture Seismic activity Simulation Steel frames Variability Workflow |
title | Simulation‐based characterization of the variability of earthquake risk to buildings in the near‐field |
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