利用模糊神经网络进行砂土液化势评判

张晓晖; 吴亚萍; 尚伟宏; 黄鼎成

利用模糊神经网络进行砂土液化势评判

1.
中国科学院地质与地球物理研究所,北京100029;
2.
兰州市城市建设设计院,兰州730000;
3.
吉林油田分公司勘探事业部,松原138000

基金项目:

中国科学院兰州冰川与冻土研究所冻土工程国家重点实验室主任基金资助

详细信息

作者简介:
张晓晖(1971-),男,博士,助理研究员,工程地质专业

中图分类号: TU441
计量
- 文章访问数: 3129
- HTML全文浏览量: 206
- PDF下载量: 910
- 被引次数: 0
出版历程
- 收稿日期: 2000-01-12
- 修回日期: 2000-03-20
- 刊出日期: 2001-04-22

USING FUZZY NEURAL NETWORK TO EVALUATE SAND LIQUEFACTION POTENTIAL

1.
Institute of geology and Geophysics, Chinese Academy of Sciences, Beijing 100029;
2.
Lanzhou Urban Construction Institute, Lanzhou 730000;
3.
Jilin Oilfield Subcompany,Songyuan 138000

摘要

摘要: 利用模糊信息分析表达知识和人工神经网络在映射能力方面的优势, 选取应力比、震级、地面运动最大加速度、标贯击数、地下水位作为评价参数指标, 构造砂土液化势识别的模糊神经网络模型。验证和应用结果表明, 模糊神经网络模型可提供更高的映射能力, 是砂土液化势评价预测的有效手段。
- 模糊模式识别 /
- 模糊神经网络 /
- 砂土液化势 /
- 评判
Abstract: From the data of many factors such as earthquake magnitude, stress ratio, SPT value, peak ground surface acceleration, and water table, a fuzzy neural network model was constructed and verified for classifying sand liquefaction potential in the paper. The result obtained is superior to those derived by conventional fuzzy clustering means. It indicates that this methodology is a potentially useful tool in objectively evaluating and predicting liquefaction potential of sand.
- Fuzzy pattern recognition /
- Fuzzy neural network /
- Sand liquefaction potential /
- Evaluation

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参考文献(1)

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