遗传算法在路面结构动态时域反分析中的应用研究

【作者】 伍大玮；

【导师】 王复明； 乐金朝；

【作者基本信息】 郑州大学 ， 岩土工程， 2004， 硕士

【摘要】 本文针对道路工程中行车荷载是动荷载的客观事实，采用遗传算法对柔性路面结构在FWD荷载作用下的动力问题进行了较为系统的研究。主要内容有： 1、基于层状弹性体系模型，采用Rayleigh阻尼模型对路面结构进行描述。对粘弹性方程采用Wilson法和Newmark法分别进行求解，编制时域动力有限元响应程序，通过算例分析验证正问题程序的正确性； 2、根据系统识别的基本原理，采用遗传算法作为参数调整算法，在时域上进行了反分析，编制了相应的动力反分析程序。文中结合实例，考查了遗传算法的稳定性和收敛性，证明了方法的合理性和有效性。 3、考察遗传算法在多参数优化问题的性能。更多还原

【Abstract】 Aims at facts that the vehicle of pavements are dynamic,a systemic study on the dynamic problems cause by FWD load of the pavement structure has been done in this paper, the main results are as follows:1 -, For the flexible road,considering the viscoelastic property of the asphalt layer,and using the Raleigh model ,a layered model is used to calculate the dynamic response in the time domain.The dynamic equation of the viscoelastic soil is derived,the Wilson method and the Newmark method are both used to solve the equation.The results which are verified by comparing with the results in references, show that the methods are right.2. based o n t he s ystem i dentification p rinciple,the genetics m ethod i s u sed t o adjust the parameters,a displacement depended inverse analysis of the parameters of the pavement structure has been done in the time domain.the validity of the method is verified b y s everal e xamples.Numericalresults s how t he m ethod i s o f good s lability and high accuracy,and reliable to identify the material properties.3 . The genetics method is reliable to multi-object optimization.更多还原