{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/113973"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/113973","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Rapid post-earthquake safety assessment system for buildings using sparse acceleration measurements","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","abstract_has_math":false,"creators":["Tsuchimoto, Koji"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Spencer, Jr., Billie F.","Bergman, Lawrence A.","Fahnestock, Larry A.","Wada, Akira","Work, Daniel"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-04-29T21:45:56Z","date_published":"2022-04-29T21:45:56Z","updated_at":"2026-07-22T22:24:53Z","subjects":["Environmental engineering"],"languages":["en","eng"],"rights":["Copyright 2021 Koji Tsuchimoto"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/113973","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Spencer, Jr., Billie F.","Bergman, Lawrence A.","Fahnestock, Larry A.","Wada, Akira","Work, Daniel"]},{"key":"dc:creator","label":"Author","values":["Tsuchimoto, Koji"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-04-29T21:45:56Z","2024-04-29T21:47:53Z","2021-12","2021-12-01"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Environmental engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Koji Tsuchimoto"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/113973"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","The student, Koji Tsuchimoto, accepted the attached license on 2021-11-23 at 22:20.","The student, Koji Tsuchimoto, submitted this Dissertation for approval on 2021-11-23 at 22:36.","This Dissertation was approved for publication on 2021-12-01 at 09:37.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17255 on 2022-04-06 at 17:16:55","Made available in DSpace on 2022-04-29T21:45:56Z (GMT). No. of bitstreams: 3 TSUCHIMOTO-DISSERTATION-2021.pdf: 17012640 bytes, checksum: 2989061d786cfaed178d86b0c93ef847 (MD5) LICENSE.txt: 4212 bytes, checksum: 988a7b62128d577fa1f25226e9db014f (MD5) PROQUEST_LICENSE.txt: 4558 bytes, checksum: 6d022100d37ca4e5c314a6c09f93a492 (MD5) Previous issue date: 2021-12-01","Embargo set by: Seth Robbins for item 123337 Lift date: 2024-04-29T21:46:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 123337 Lift date: 2024-04-29T21:47:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only","After a major seismic event, building safety should be assessed by qualified experts prior to reoccupation and resumption of operations. Such inspections are generally performed by teams of two or more experts and are time consuming, labor intensive, subjective in nature, and potentially put the lives of inspectors in danger. Structural Health Monitoring (SHM) provides the potential to accelerate the required amount of evaluation. The goal of the research proposed herein is to develop a cost-effective approach for rapid safety assessment of buildings after seismic events by using sparse acceleration measurements. First, the problem definition of the rapid safety assessment system is discussed, and an appropriate performance measure is developed. Herein, the maximum inter-story drift angle (IDA) is considered as a reliable damage index (DI) to classify the safety of buildings after seismic events occur. A damage sensitive feature (DSF) is then defined by a comparison between linear and nonlinear responses that can be used to assess the condition of buildings. Condition assessment using a convolutional neural network (CNN) is employed to uncover the complex relationship between DSFs and the damage index. Issues associated with full-scale implementation are also addressed. First, validation of the proposed approach is conducted using a numerical model of a five-story steel building. A three-dimensional (3D) nonlinear analysis model is created and subjected to random ground motion. Because the use of the 3D analysis model is too computationally expensive to generate the required training data, a simplified nonlinear model is developed for this purpose, along with a corresponding linear model. The training data for the CNN incorporates uncertainties in both the analysis model and ground motion. While the numerical results confirmed the potential of the proposed approach, experimental validation on large-scale structures is required for field implementation. Moreover, an extension to the assessment of high-rise buildings, such as those used for residences in many modern cities, is desired. To this end, data for a 1/3-scale, 18-story experimental steel building that was tested on the shaking table at E-Defense in Japan is employed. The importance of online model updating of the linear analysis model to calculate corresponding DSFs during the operation is also discussed. Experimental results confirm the efficacy of the proposed approach for rapid post-earthquake safety assessment for high-rise buildings. Finally, a cost-benefit analysis with respect to the number of sensors used is presented. This research demonstrates the efficacy of the proposed approach for rapid post-earthquake safety assessment of buildings, using sparse acceleration measurements."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Rapid post-earthquake safety assessment system for buildings using sparse acceleration measurements"]}]}],"canonical_facts":{"dc:contributor":["Spencer, Jr., Billie F.","Bergman, Lawrence A.","Fahnestock, Larry A.","Wada, Akira","Work, Daniel"],"dc:creator":["Tsuchimoto, Koji"],"dc:date":["2022-04-29T21:45:56Z","2024-04-29T21:47:53Z","2021-12","2021-12-01"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-12-01","The student, Koji Tsuchimoto, accepted the attached license on 2021-11-23 at 22:20.","The student, Koji Tsuchimoto, submitted this Dissertation for approval on 2021-11-23 at 22:36.","This Dissertation was approved for publication on 2021-12-01 at 09:37.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17255 on 2022-04-06 at 17:16:55","Made available in DSpace on 2022-04-29T21:45:56Z (GMT). No. of bitstreams: 3 TSUCHIMOTO-DISSERTATION-2021.pdf: 17012640 bytes, checksum: 2989061d786cfaed178d86b0c93ef847 (MD5) LICENSE.txt: 4212 bytes, checksum: 988a7b62128d577fa1f25226e9db014f (MD5) PROQUEST_LICENSE.txt: 4558 bytes, checksum: 6d022100d37ca4e5c314a6c09f93a492 (MD5) Previous issue date: 2021-12-01","Embargo set by: Seth Robbins for item 123337 Lift date: 2024-04-29T21:46:25Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 123337 Lift date: 2024-04-29T21:47:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only","After a major seismic event, building safety should be assessed by qualified experts prior to reoccupation and resumption of operations. Such inspections are generally performed by teams of two or more experts and are time consuming, labor intensive, subjective in nature, and potentially put the lives of inspectors in danger. Structural Health Monitoring (SHM) provides the potential to accelerate the required amount of evaluation. The goal of the research proposed herein is to develop a cost-effective approach for rapid safety assessment of buildings after seismic events by using sparse acceleration measurements. First, the problem definition of the rapid safety assessment system is discussed, and an appropriate performance measure is developed. Herein, the maximum inter-story drift angle (IDA) is considered as a reliable damage index (DI) to classify the safety of buildings after seismic events occur. A damage sensitive feature (DSF) is then defined by a comparison between linear and nonlinear responses that can be used to assess the condition of buildings. Condition assessment using a convolutional neural network (CNN) is employed to uncover the complex relationship between DSFs and the damage index. Issues associated with full-scale implementation are also addressed. First, validation of the proposed approach is conducted using a numerical model of a five-story steel building. A three-dimensional (3D) nonlinear analysis model is created and subjected to random ground motion. Because the use of the 3D analysis model is too computationally expensive to generate the required training data, a simplified nonlinear model is developed for this purpose, along with a corresponding linear model. The training data for the CNN incorporates uncertainties in both the analysis model and ground motion. While the numerical results confirmed the potential of the proposed approach, experimental validation on large-scale structures is required for field implementation. Moreover, an extension to the assessment of high-rise buildings, such as those used for residences in many modern cities, is desired. To this end, data for a 1/3-scale, 18-story experimental steel building that was tested on the shaking table at E-Defense in Japan is employed. The importance of online model updating of the linear analysis model to calculate corresponding DSFs during the operation is also discussed. Experimental results confirm the efficacy of the proposed approach for rapid post-earthquake safety assessment for high-rise buildings. Finally, a cost-benefit analysis with respect to the number of sensors used is presented. This research demonstrates the efficacy of the proposed approach for rapid post-earthquake safety assessment of buildings, using sparse acceleration measurements."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/113973"],"dc:language":["en","eng"],"dc:rights":["Copyright 2021 Koji Tsuchimoto"],"dc:subject":["Environmental engineering"],"dc:title":["Rapid post-earthquake safety assessment system for buildings using sparse acceleration measurements"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:53Z"}