基于灰狼优化算法的重力坝坝体弹性模量反演  

Inversion of Elastic Modulus of Gravity Dam Based on Grey Wolf Optimization Algorithm

作　　者：高振梅 GAO Zhen-mei(Feixian County Water Conservancy Project Guarantee Center,Linyi 273400,China)

机构地区：[1]费县水利工程保障中心石岚水库服务股,山东临沂273400

出　　处：《海河水利》2024年第7期82-85,共4页Haihe Water Resources

摘　　要：在坝体安全评价中,混凝土坝体弹性模量对稳定计算结果影响较大。针对重力坝坝体弹性模量难以直接量测等问题,将灰狼优化算法引入重力坝坝体弹性模型的反演中。结合某重力坝具体算例,介绍了灰狼优化算法的具体实施步骤并进行了应用。结果表明,灰狼优化算法收敛效率很高,只需要较少的迭代步数便可以取得最优解,克服了传统试验方法试验工作量大且精度不高的问题。基于灰狼优化算法的力学参数反演模型合理可行,可为其余重力坝工程确定坝体弹性模量提供有益的借鉴,提升工程安全评价可靠度。In the safety evaluation of dam body,the elastic modulus of concrete dam body has a great influence on the stability calculation results.To solve the problem that the elastic modulus of gravity dam was difficult to be measured directly,the Grey Wolf Optimization Algorithm was introduced into the inversion of the elastic model of gravity dam.The specific implementation steps and applications of Grey Wolf Optimization Algorithm were introduced in conjunction with a specific arithmetic example of gravity dam.The results showed that the Grey Wolf Optimization Algorithm had high convergence efficiency,and obtain the optimal solution with fewer iteration steps.The problems of heavy workload and low accuracy of traditional test methods were overcome.The mechanical parameter inversion model based on Grey Wolf Optimization Algorithm was reasonable and feasible.It can provide a useful reference for other gravity dam projects to determine the elastic modulus of dam body,and improve the reliability of engineering safety evaluation.

关 键 词：重力坝 灰狼优化算法 弹性模型 反演 

分 类 号：TV642.3[水利工程—水利水电工程] TV698.11