摘要
引力搜索算法(GSA)是一种对万有引力算法进行模拟的智能优化算法,作为一种新型智能优化算法,引力搜索算法具有概念简单,操作方便,计算高效等优点,并且在实际工程领域已经被广泛应用。该文研究了基于模型修正法和引力搜索算法的损伤识别方法,对两层刚架算例进行了数值模拟,结果表明在无噪声的情况下引力搜索算法不仅可以识别损伤位置同时能够确定结构损伤程度。在噪声水平较低的情况下也能较好地识别损伤,因此基于模型修正的引力搜索算法的损伤识别可以在损伤识别中应用。
Gravitational search algorithm(GSA)is an intelligent optimization algorithm which simulates the universal gravitation algorithm.As a new intelligent optimization algorithm,GSA has the advantages of simple concept,easy operation,high-efficient calculation,etc.,so it’s being extensively applied in engineering field.This paper studied the damage identification method based on the model modification method and the gravity search algorithm,and conducted numerical simulation of a two-layer rigid frame calculation case.The results showed that in noise-free circumstances GSA cannot only identify the damage spot but also determine the damage degree of the structure,and it can well identify damages in low-noise levels.Therefore,GSA based on model modification can be applied in damage identification.
作者
霍中英
任宜春
Huo Zhongying;Ren Yichun
出处
《重庆建筑》
2020年第12期39-41,共3页
Chongqing Architecture
关键词
引力搜索算法
损伤识别
数值模拟
模型修正
gravitational search algorithm
damage identification
numerical simulation
model modification
作者简介
霍中英(1996—),男,河南驻马店人,研究生,主要研究方向为结构损伤识别,邮箱:1846108320@qq.com。
