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Dec 27, 2013

Artificial Neural Network Model for Evaluating Gravelly Soils Liquefaction Using Shear Wave Velocity

Publication: International Efforts in Lifeline Earthquake Engineering

Abstract

Evaluation of liquefaction potential of soil is important in geotechnical earthquake engineering. Significant phenomena of gravelly soil liquefaction in the 2008 Wenchuan earthquake were reported. Thus, further studies on the liquefaction potential of gravelly soil are needed. This paper investigates the potential of an artificial neural networks-based approach to assess the liquefaction potential of gravelly soils form actual shear wave velocity field data. The success rates for occurrence and non-occurrence of liquefaction cases in Wenchuan earthquake could be up to 100% and 94%, respectively. The study suggests that neural networks can successfully model the complex relationship between seismic parameters, soil parameters, and the liquefaction potential of gravelly soils.

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Go to International Efforts in Lifeline Earthquake Engineering
International Efforts in Lifeline Earthquake Engineering
Pages: 608 - 615

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Published online: Dec 27, 2013

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School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China. E-mail: [email protected]
School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China. E-mail: [email protected]
School of Urban Construction, University of South China, Hengyang, Hunan 421001, China. E-mail: [email protected]

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