基于微分演化算法的抗滑桩优化模型

Optimization model of anti-slide pile based on differential evolution algorithm

抗滑桩是滑坡灾害治理的有效手段,但目前工程领域的抗滑桩设计仍采用以试算为基础的方案型设计理念,设计效率与精度仍有提升空间。本文将群集智能算法引入到抗滑桩设计中,对抗滑桩设计中的设计变量、约束函数、目标函数进行合理选取,建立了抗滑桩优化设计的数学模型,并在此基础上通过微分演化算法来实现设计方案的全局寻优,最终建立了基于微分演化算法的抗滑桩优化模型。最后以延安市某滑坡治理工程为例,通过编制的优化计算软件,以交互式界面操作的形式,实现了最优化方案设计。通过工程实例比较验证了本文所提出方法的计算精度,说明本文所提出的方法在工程应用上的有效性及其巨大潜力。本文所提出的方法在抗滑桩设计领域具有很好的理论研究及工程应用价值,也能为其他地质灾害防治治理方法实践应用和理论创新方面提供合理参考。

Anti-slide pile is an effective means of landslide disaster control,but the design concept of anti-slide pile based on trial calculation is still adopted in the engineering field at present,and the design efficiency and accuracy still have room to improve.In this paper,the cluster intelligence algorithm is introduced into the anti-slide pile design,and the design variables,constraint function and objective function are selected reasonably in the anti-slide pile design,and the mathematical model for the optimal design of anti-slip piles is established.On this basis,the global optimization of the design scheme is realized by differential evolution algorithm,and finally the optimization model of anti-slide pile based on differential evolution algorithm is established.Finally,taking a landslide control project in Yan′an City as an example,the optimization scheme design is realized through the compiled optimization calculation software and the interactive interface operation.By comparison with engineering examples,the computational accuracy of the method proposed in this paper is verified.And it verifies the effectiveness and great potential of the proposed method in engineering applications.The method proposed in this paper has favorable theoretical research and engineering application value in the field of anti-slip pile design,and can also provide a reasonable reference for the practical application and theoretical innovation of other geological risk control methods.