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Seismic liquefaction potential assessment by using Relevance Vector Machine

Samui, Pijush (2007) Seismic liquefaction potential assessment by using Relevance Vector Machine. In: Earthquake Engineering and Engineering Vibration, 6 (4). pp. 331-336.

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Determining the liquefaction potential of soil is important in earthquake engineering. This study proposes the use of the Relevance Vector Machine (RVM) to determine the liquefaction potential of soil by using actual cone penetration test (CPT) data. RVM is based on a Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. The results are compared with a widely used artificial neural network (ANN) model. Overall, the RVM shows good performance and is proven to be more accurate than the ANN model. It also provides probabilistic output. The model provides a viable tool for earthquake engineers to assess seismic conditions for sites that are susceptible to liquefaction.

Item Type: Journal Article
Publication: Earthquake Engineering and Engineering Vibration
Publisher: Springer
Additional Information: Copyright of this article belongs to Springer.
Keywords: Liquefaction;cone penetration test;relevance vector machine;artificial neural network.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 11 Jul 2008
Last Modified: 27 Aug 2008 13:34
URI: http://eprints.iisc.ac.in/id/eprint/14962

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