An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method

Abstract

In this article, based on the earthquake damage data of ‘5.12’ Wenchuan Earthquake and the improved method of earthquake damage prediction of highway subgrade and pavement which is obtained by using nonlinear regression method, a new method using closeness degree is given. This new method uses fuzzy recognition to determine the earthquake damage level of certain road section. In order to conduct fuzzy recognition, the membership function of the fuzzy set of the damage grade is also given, after conducting fuzzy recognition for membership function of earthquake damage using closeness degree method, the earthquake damage prediction results of corresponding road sections will be obtained. Finally, an example is given based on the data of earthquake damage in Wenchuan earthquake. The results of the example show that this new method of earthquake damage prediction using closeness degree indeed has higher accuracy, which proves it another effective and practical method for earthquake damage prediction of highway pavement and subgrade. This method also provides a reference for future research on related projects.