海河水利Issue(7)：82-85,4.DOI:10.3969/j.issn.1004-7328.2024.07.019
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
高振梅1
作者信息
- 1. 费县水利工程保障中心石岚水库服务股,山东 临沂 273400
- 折叠
摘要
Abstract
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Key words
gravity dam/Grey Wolf Optimization Algorithm/elastic model/inversion分类
建筑与水利引用本文复制引用
高振梅..基于灰狼优化算法的重力坝坝体弹性模量反演[J].海河水利,2024,(7):82-85,4.
