基于模糊信息优化方法的黄土湿陷性评价

Evaluate Loess Collapsibility Based on Fuzzy Information Optimization Method

运用模糊信息优化处理技术中的信息扩散原理,建立黄土湿陷性评价方法。收集60组黄土湿陷性试验资料,选用与湿陷系数紧密相关的含水量等重要影响因素,运用信息扩散原理中的正态信息扩散离散回归方程得到原始信息分布矩阵,进行正规化处理,并进行模糊近似推理,采用信息集中公式求取最终结果,建立了评价指标与湿陷系数之间的模糊关系和黄土湿陷性评价的方法。通过对10组黄土湿陷性试验数据的非母体验证,均方误差较小,结果较为理想。该方法步骤清晰、易懂,结果可靠、实用,效果快速、良好,可使用在黄土高原地区区域性的城镇防灾规划、区域黄土湿陷性分析和公路地质灾害危险性评估等方面。

Use information diffusion principle in fuzzy information optimization method to build evaluation method of loess collapsibility.Collect 60 groups of experimental information of loess collapsibility,select water content and other important affecting factors related to coefficient of collapsibility.Use normality information diffusion disperses regression equation in information diffusion principles to get original information distribution matrix and conduct normally process and obscure approximate reasoning.Use information concentrating formula to get results,build fuzzy relation between evaluation index and evaluation of loess collapsibility.10 groups＇ experimental data of loess collapsibility were conducted with non-parent verification with small mean square errormse and a good result.This method has advantages of clear,easy,reliable and rapid,may be used in urban disaster prevention planning,regional loess collapsibility analysis and highway geological hazard risk assessment in Loess Plateau Area.