膨胀土与石灰改良膨胀土胀缩性的云模型评价

Cloud model for shrinkage-swelling property classification of untreated and lime-treated expansive clays

为解决胀缩性评价过程中模糊指标与随机指标统一处理及定性定量转化问题,探讨了基于云模型理论的胀缩性评价模型.首先基于胀缩性分类标准生成每个评价指标在不同等级的云数字特征,并应用正向正态云发生器模拟实测样本指标值隶属于各等级的确定度,然后结合指标权重获得综合确定度,以最大综合确定度值判定样本的胀缩性等级.最后基于合肥新桥国际机场膨胀土地基处理工程实例来验证该模型的可靠性,并与集对分析、可变模糊集方法和模糊数学方法的判别结果进行了对比分析.结果表明,基于云模型评价膨胀土和改良土胀缩性等级是有效可行的,且预测结果可充分反映现场实际情况.

A shrinkage-swelling property evaluation model based on the cloud model is studied to consider the fuzziness and randomness of evaluation indicators as a whole and to achieve the qualita-tive and quantitative conversion.First,the cloud digital features of each indicator at different levels are generated based on the shrinkage-swelling property classification standard.And the generation al-gorithm of normal cloud is adopted to analyze the certainty degrees of measured indicators to each evaluation standard.Then the comprehensive certainty degrees are obtained according to the meas-ured data and the weights of evaluation indicators,and the swelling-shrinkage grade is determined by the maximum comprehensive certainty degree.Finally,a case of foundation treatment plans of dif-ferent lime contents in the runway area of Xinqiao International Airport in Hefei is used to confirm the reliability of the proposed model.Moreover,a comparison of results with the set pair analysis method,the variable fuzzy sets method and the fuzzy set method is also conducted.It indicates that the model used to classify the shrinkage-swelling grade of untreated and lime-treated expansive clays is feasible and effective,and can well describe the actual situation.