Rapid damage assessment system of buildings after seismic events using artificial neural network

K. Tsuchimoto, B. F. Spencer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Safety of buildings after a seismic event should be confirmed before resume of occupation. Therefore, the condition of individual buildings need to be evaluated to minimize interference of lives and businesses. However, manual inpection by experts depend on each skill and also time consuming. Structural Health Monitoring provides a means to accelerate the required evaluation. This paper proposed to develop a cost-effective method for rapid damage assessment in buildings after seismic events. First a damage sensitive feature is defined that can distinguish damaged and undamaged structure. An artificial neural network is then explored to describe the complex relationship between the damage sensitive features and the damage index. In this paper, the maximun inter-story drift angle is proposed as a reliable damage index to classify the safety of buildings after seismic events. A five-story steel structure in which the nonlinear floor stiffness is represented by a Bouc-Wen model is developed to validate the proposed strategy. These results demonstrate the potential of the proposed framework for rapid damage assessment of buildings after seismic events.

Original languageEnglish (US)
Title of host publication9th International Conference on Structural Health Monitoring of Intelligent Infrastructure
Subtitle of host publicationTransferring Research into Practice, SHMII 2019 - Conference Proceedings
EditorsGenda Chen, Sreenivas Alampalli
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Pages738-744
Number of pages7
ISBN (Electronic)9780000000002
StatePublished - 2019
Externally publishedYes
Event9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - St. Louis, United States
Duration: Aug 4 2019Aug 7 2019

Publication series

Name9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - Conference Proceedings
Volume1

Conference

Conference9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019
CountryUnited States
CitySt. Louis
Period8/4/198/7/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Civil and Structural Engineering
  • Building and Construction

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