基于GP和OLS混合方法进行刚性路面的可持续设计

Sustainable design of rigid pavement based on GP and OLS hybrid method

本研究旨在优化再生基层材料的刚性路面厚度。本文通过设置交通、气候和土壤条件对一系列路面案例进行建模,并将获得的数据导入到一种设计方法(混合遗传规划和正交最小二乘法,GP/OLS)中,用于优化和预测可能的路面情况。结果表明,本文提出的混合遗传规划和正交最小二乘法与现有的路面设计方法在再生材料刚性路面厚度估算上的一致性高达90%以上。

This paper modeled a series of pavement cases by setting traffic,climate and soil conditions,and imported the obtained data into a design method proposed(hybrid genetic programming and orthogonal least squares method,GP/OLS),used to optimize and predict possible road conditions.The results show that the consistency between the hybrid genetic programming and orthogonal least squares method proposed in this paper and the existing pavement design method in the estimation of the thickness of the recycled material rigid pavement is as high as 90%.