路面结构模量反算的遗传-模拟退火混合算法  

Genetic and simulated annealing hybrid algorithm for modulus backcalculation of pavement structure

作　　者：乐金朝[1] 刘凤娥[1] 王复明[1] 

机构地区：[1]郑州大学环境与水利学院,河南郑州450002

出　　处：《计算力学学报》2004年第1期88-92,共5页Chinese Journal of Computational Mechanics

基　　金：河南省杰出青年科学基金(0212001800);河南省中青年骨干教师基金资助项目.

摘　　要：路面结构层模量反算是路面结构无损检测与评价的基础。本文针对遗传算法和模拟退火算法各自的特点,在传统遗传算法的搜索过程中引入模拟退火算法的Metropolis接受准则,以增强算法的全局搜索能力。在此基础上,将遗传-模拟退火混合算法应用于路面结构层材料模量的反算分析。文中分别对理论数据和实测数据进行了计算,并与目前国内外已有的路面反算软件的分析结果进行了分析比较。数值结果表明,该方法具有较强的全局收敛性,数值结果稳定可靠。The modulus backcalculation of pavement structure is the foundation of nondestructive testing and evaluation of highway. Based on the characteristics of genetic algorithm and simulated annealing algorithm, a new approach, Genetic and Simulated Annealing Hybrid Algorithm, is put forward to backcalculate the elasticity modulus of pavement structure. Compared with the traditional genetic algorithm, the global convergence effect of this hybrid algorithm is enhanced by use of the Metropolis acceptance rule of the simulated annealing algorithm in the searching process. Some theoretical data and testing data are analyzed with this method and the results are compared with those due to other methods. The results show that this method is good in the global convergency, and the results of modulus backcalculation are stable and credible.

关 键 词：路面结构 遗传算法 模拟退火算法 路面弯沉 模量反算 遗传-模拟退火混合算法 

分 类 号：U416.203[交通运输工程—道路与铁道工程]