Probabilistic measures of earthquake effects on fire performance of tall buildings

N. Elhami Khorasani, T. Gernay, Maria Eugenia Moreyra Garlock

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

1 Scopus citations

Abstract

Cascading multi-hazard events, such as fires following an earthquake, can trigger progressive collapse of structures. Risk or the probability of reaching a limit state after an extreme event is related to (a) the probability of occurrence of the hazard, and (b) the probability of reaching the limit state given the hazard. In this paper, earthquake effects on fire performance of tall buildings in a community are studied. First, the probability of fire ignition due to an earthquake is modeled based on historical data and properties of the built environment. In the second step, the effect of earthquake on structural fire performance of a steel frame is studied using system level probabilistic approaches. The results show that the earthquake does not increase the probability of reaching different limit states under fire, however, post earthquake fire can increase the drift demand on columns located on the perimeter of the structure, and may cause instability.

Original languageEnglish (US)
Title of host publicationInsights and Innovations in Structural Engineering, Mechanics and Computation - Proceedings of the 6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016
EditorsAlphose Zingoni
PublisherCRC Press/Balkema
Pages1744-1749
Number of pages6
ISBN (Print)9781138029279
DOIs
StatePublished - 2016
Event6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016 - Cape Town, South Africa
Duration: Sep 5 2016Sep 7 2016

Publication series

NameInsights and Innovations in Structural Engineering, Mechanics and Computation - Proceedings of the 6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016

Other

Other6th International Conference on Structural Engineering, Mechanics and Computation, SEMC 2016
CountrySouth Africa
CityCape Town
Period9/5/169/7/16

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Civil and Structural Engineering

Fingerprint Dive into the research topics of 'Probabilistic measures of earthquake effects on fire performance of tall buildings'. Together they form a unique fingerprint.

Cite this