摘要
论文进行缺陷反演时,利用损伤指标法,确定缺陷数目,针对损伤指标法中缺陷取值范围存在人为性,推导了缺陷搜索范围的合理取值并进一步缩减了搜索范围;同时提出了一种考虑非线性因子的改进型人工蜂群算法,加速了多缺陷反演时目标函数最小化迭代过程。最后,通过三个算例验证了该方法对结构内规则和不规则缺陷的反演均具有较好的识别效果。
In this paper,the damage index method is used to determine the number of defects.Aiming at the artificial nature of the defect value range in the damage index method,the reasonable value of the defect search range is deduced and the search range is further reduced.At the same time,an improved artificial bee colony algorithm considering nonlinear factors is proposed to accelerate the iteration processes of objective function minimization in the process of multiple flaw detection.Finally,three examples show that the proposed method has a good inversion effect for identifying both regular and irregular defects in structures.
作者
沈学港
江守燕
储冬冬
SHEN Xuegang;JIANG Shouyan;CHU Dongdong(Department of Engineering Mechanics,Hohai University,Nanjing 211100,China;Jiangsu Hydraulic Research Institute,Nanjing 210017,China)
出处
《力学与实践》
北大核心
2023年第2期379-388,共10页
Mechanics in Engineering
基金
国家自然科学基金(52279130)
中国地球物理学会工程物探检测重点实验室开放研究基金(CJ2021GE06)资助。
关键词
损伤指标
扩展有限元法
改进型人工蜂群算法
多缺陷识别
非线性因子
damage index
extended finite element methods
improved artificial bee colony algorithm
multiple flaw identification
nonlinear factor
