Bayesian Analysis of Peak Ground Acceleration Attenuation Relationship

Journal Article · Fri May 21 00:00:00 EDT 2010 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3452247· OSTI ID:21361982

Heqing, Mu; Kaveng, Yuen ^[1]

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1. Department of Civil and Environmental Engineering, University of Macau (China)

Estimation of peak ground acceleration is one of the main issues in civil and earthquake engineering practice. The Boore-Joyner-Fumal empirical formula 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).

• OSTI ID: 21361982
• Journal Information: AIP Conference Proceedings, Vol. 1233, Issue 1; Conference: 2. international symposium on computational mechanics; 12. international conference on the enhancement and promotion of computational methods in engineering and science, Hong Kong (Hong Kong); Hong Kong (Hong Kong), 30 Nov - 3 Dec 2009; 30 Nov - 3 Dec 2009; Other Information: DOI: 10.1063/1.3452247; (c) 2010 American Institute of Physics; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
ACCELERATION
ATTENUATION
EARTHQUAKES
ENGINEERING
FORECASTING
NOISE
PROBABILISTIC ESTIMATION
PROBABILITY
SEISMOLOGY
SENSITIVITY
CALCULATION METHODS
SEISMIC EVENTS