Bayesian analysis of peak ground acceleration attenuation relationship
Mu H.-Q.; Yuen K.-V.
Source PublicationAIP Conference Proceedings
IssuePART 1
AbstractEstimation of peak ground acceleration is one of the main issues in civil and earthquake engineering practice. The Boore-Joyner-Fumal empirical formula [1] is well known for this purpose. In this paper we propose to use the Bayesian probabilistic model class selection approach to obtain the most suitable prediction model class for the seismic attenuation formula. The optimal model class is robust in the sense that it has balance between the data fitting capability and the sensitivity to noise. A database of strong-motion records is utilized for the analysis. It turns out that the optimal model class is simpler than the full order attenuation model suggested by Boore, Joyner and Fumal (1993). © 2010 American Institute of Physics.
KeywordBayesian inference, Boore-Joyner-Fumal formula model class selection peak ground acceleration seismic attenuation
URLView the original
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Document TypeConference paper
CollectionUniversity of Macau
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Mu H.-Q.,Yuen K.-V.. Bayesian analysis of peak ground acceleration attenuation relationship[C],2010:626-631.
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