Uncertainty-based quantitative model for assessing risks in existing buildings

T Agami Reddy, Jason Fierko

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

Abstract

The design of uncertainty-based quantitative model for assessing risks in buildings is discussed. Risk analysis involves three interrelated aspects such as risk assessment, risk management or mitigation, and risk communication to the general public and concerned agencies. The proposed method allows for the perceived importance with which different stakeholders in a building view the interaction between vulnerable risk targets and building elements. Each risk target is further subdivided into several subtargets, while each hazard category is broken down into hazard events.

Original languageEnglish (US)
Title of host publication2004 Winter Meeting - Technical and Symposium Papers, American Society of Heating, Refrigerating and Air-Conditioning Engineers
Pages223-237
Number of pages15
StatePublished - 2004
Externally publishedYes
Event2004 Winter Meeting - Technical and Symposium Papers, American Society of Heating, Refrigerating and Air-Conditioning Engineers - Anaheim, CA, United States
Duration: Jan 24 2004Jan 28 2004

Other

Other2004 Winter Meeting - Technical and Symposium Papers, American Society of Heating, Refrigerating and Air-Conditioning Engineers
CountryUnited States
CityAnaheim, CA
Period1/24/041/28/04

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Reddy, T. A., & Fierko, J. (2004). Uncertainty-based quantitative model for assessing risks in existing buildings. In 2004 Winter Meeting - Technical and Symposium Papers, American Society of Heating, Refrigerating and Air-Conditioning Engineers (pp. 223-237)