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论文类型：会议论文

发表时间：2012-11-24

收录刊物：EI、CPCI-S、Scopus

卷号：275-277

页面范围：2620-2623

关键字：earthquake; liquefaction; dynamic penetration test; artificial neural network

摘要：Evaluation of liquefaction potential of soils is important in geotechnical earthquake engineering. Significant phenomena of gravelly soil liquefaction were reported in 2008 Wenchuan earthquake. Thus, further studies on the liquefaction potential of gravelly soil are needed. This paper investigates the potential of artificial neural networks-based approach to assess the liquefaction potential of gravelly soils form field data of dynamic penetration test. The success rates for occurrence and non-occurrence of liquefaction cases both are 100%. The study suggests that neural networks can successfully model the complex relationship between seismic parameters, soil parameters, and the liquefaction potential of gravelly soils.