Rapid damage assessment in tall buildings after seismic events

Koji Tsuchimoto, Billie F. Spencer

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

Abstract

Rapid damage assessment in tall buildings is essential to confirm safety after seismic events. Structural Health Monitoring (SHM) offers the potential to provide this rapid assessment. However, the initial cost of SHM systems and subsequent maintenance can be prohibitive. This paper proposes a new approach for estimation of interstory drift responses in tall buildings using a limited number of accelerometers. The adequacy of using shear and Euler-Bernoulli beams to model tall buildings is also discussed. A Timoshenko beam model is proposed, and harmful interstory drift and interstory drift angle are defined as a damage sensitive features. A thirty-story building subjected to seismic excitation is considered to demonstrate the efficacy of the proposed framework. These results provide a strong foundation for rapid damage assessment in tall buildings after seismic events.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2017
Subtitle of host publicationReal-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
EditorsFu-Kuo Chang, Fotis Kopsaftopoulos
PublisherDEStech Publications
Pages1123-1130
Number of pages8
ISBN (Electronic)9781605953304
DOIs
StatePublished - 2017
Event11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 - Stanford, United States
Duration: Sep 12 2017Sep 14 2017

Publication series

NameStructural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
Volume1

Other

Other11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
Country/TerritoryUnited States
CityStanford
Period9/12/179/14/17

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

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