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題名 | CPT-Based Liquefaction Assessment by Using Fuzzy-Neural Network= |
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作者 | Chern, Shuh-gi; Lee, Ching-yinn; Wang, Chin-chen; |
期刊 | Journal of Marine Science and Technology |
出版日期 | 20080600 |
卷期 | 16:2 2008.06[民97.06] |
頁次 | 頁139-148 |
分類號 | 441.1 |
語文 | eng |
關鍵詞 | Fuzzy-neural; Network; CPT; Liquefaction; |
英文摘要 | ABSTRACT Because of the increasing popularity worldwide of the cone penetration test (CPT) for site characterization, significant progress on the simplified CPT-based methods has been made for evaluation of earthquake induced liquefaction potential of soils. In this study, a fuzzy-neural network combined with 466 CPT field observations is developed to evaluate liquefaction potential of soils. The proposed model combines fuzzy theory with subtractive clustering algorithm to establish a fuzzy-neural system. The study indicates that fuzzy-neural network can successfully describe the complex relationship between seismic parameters, soil parameters, and the liquefaction potential. The fuzzy-neural network model is found to have very good predictive ability and is expected to be very reliable for evaluation of liquefaction potential. |
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