模糊识别模式在粉土液化判别中的应用

DEVELOPMENT OF A FUZZY PATTERN RECOGNITION BASED MODEL FOR SILT LIQUEFACTION CRITERIA

基于模糊数学的基本原理和方法,分析了粉土液化的影响因素,选取粉土的平均粒径,相对密度,标准贯入击数和上覆有效压力作为评价指标,构造粉土液化的模糊识别模式。验证和应用结果表明,模糊识别模式具有很好的映射能力,是粉土液化势预测的有效手段。

Based on the fundamental theories of fuzzy mathematics, the factors which influence silt＇s liquefaction are analyzed. The average particle diameter, relative density, SPT blow counts of the silt and the effective overloading are selected as the evaluation index to construct the model of fuzzy pattern recognition for the silt liquefaction discrimination. The verification and application of the model indicate that this methodology is a effective tool in objectively evaluating and predicting the liquefaction potential of silt.