高速公路软基最终沉降预测的范例推理方法

Case-based Reasoning Approach to Settlement of Expressway on Soft Foundation

针对高速公路软基沉降的复杂性和不确定性,充分利用地质资料,运用模糊相似优先的概念,构造了高速公路软基最终沉降预测模型。对每个影响软基沉降的因素,分别建立了软基目标范例与源范例之间的模糊相似优先关系。经过影响因素之间的两两比较,获得了不同影响因素下软基的目标范例与源范例之间的相似性序列,计算得到软基目标范例和源范例之间的综合相似性序列,从而找到与软基目标范例最相似的源范例,实现了软基最终沉降预测。实例评价结果与实际沉降观测结果一致,这为预测软土地基路基沉降提供了一种新的方法。

Based on fuzzy analogy preferred ratio, a predication model of expressway settlement on soft foundation is set up. In this model, the fuzzy analogy preferred relationship between soft foundation target case and soft foundation base case is determined, and the similar series between the two eases with different affecting factor on soft foundation is given. The factor weights, the comprehensive similar series between the two cases is determined, and the most similar base case to the soft foundation target case in the base cases of soft foundation is found out. So the highway settlement on soft foundation can be predietied. It is shown from examples that the results eaclulated with this method agree with the practical settlement. 3 tabs, 8 refs.