公路工程

路基作为路面结构的基础支撑体,实际路基工程所发生的路面损坏基本上是基于路基稳定性差、强度较低,受到外部载荷作用而产生过量形变造成。主要是针对路面模量反算过程中所获得的目标函数在最优值呈现出一个狭长平坦区的特征,提出了一个基于模量反算的自适应信息遗传算法,并对新算法在路面模量反算中的稳健性进行了理论和实践对比分析。首次采用了以信息量来确定是否执行细分模量解空间的机制,有效的缩小了后期反算空间,同时,采用改进行的实数交叉算子,提高了新算法后期搜索能力,通过比较实际FWD实际检测结果与新算法的反算结果表明:自适应信息遗传算法有效的降低了传统遗传算法的复杂度,提高了求解效率,有效的保证了新算法在工程实际应用中的稳健性。

Subgrade As the foundation of the pavement structure. Actual,pavement damage is basically based on deteriorated stability,lack of subgrade strength and produce excessive deformation caused by external loading. This paper is put forward a new kind of anti-calculation on the modulus—adaptive information Genetic Algorithm mainly aimed at the objective function shows the characteristics of a long and narrow flat area in the process of back calculation of modulus gained by the objective function in optimal value,comparated and analysis the the new algorithm in the calculation of the pavement modulus robustness theoretical and practical. The Article first use the the mechanism that depended upon the size of the information to take self-adaptive segmentation algorithm modulus which is so that the latter part of anticalculation algorithm in the search space could be reduced is proposed. At the same time,the new algorithm improves the real crossover operator thought a new exploration strategy. Thereby,it improves new algorithm's the latter local search capabilities. Through the results of the actual inverse FWD actual test results show that the new algorithm: Adaptive Information genetic algorithm effectively reduces the complexity of traditional genetic algorithm to improve the solution efficiency,effectively ensure that the new algorithm is robust in the practical application of engineering project.