A refinement to earthquake vulnerability models implemented in the EQRM: correcting underestimation of the damage probability for non-structural acceleration-sensitive components  

Authors / CoAuthors

Ryu, H. | Edwards, M.

Abstract

Geoscience Australia (GA) has developed the Earthquake Risk Model (EQRM) as an open source software for earthquake hazard and risk assessment. In the EQRM, the likelihood of physical damage states for the buildings and the direct economic loss from the damage to structural and non-structural building components are estimated using fragility and vulnerability models, respectively. The methodology implemented in the EQRM to compute the likelihood of physical damage states and the economic loss is similar to the HAZUS methodology, which is based on the capacity spectrum method (CSM) applied to a generalized Single-Degree-Of-Freedom (SDOF) model of the building. One limitation of the current approach is identified, which is the underestimation of the damage probability for non-structural acceleration-sensitive (NSA) components with a consequent underestimation of economic loss. This underestimation is found to be more problematic for larger ground shaking intensities. To overcome the limitation of the current methodology, time history analysis of a SDOF system with an elliptical hysteresis is performed and regression analysis is conducted to relate structural response and input ground moition parameters to maximum absolute acceleration. The estimated maximum absolute acceleration is then used in computing damage probability for NSA components instead of the spectral acceleration of the performance point based on the CSM. The effect of the refined fragility of the NSA component and the ressulting vulnerability models are highlighted and discussed in a probabilistic risk assessment for a building portfolio in Newcastle, Australia.

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nonGeographicDataset

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83925

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• External PublicationConference Paper

Australian and New Zealand Standard Research Classification (ANZSRC)

• Earth Sciences

• Published_Internal

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2015-01-01T00:00:00

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Creative Commons Attribution 4.0 International Licence    

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geoscientificInformation

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