摘要
结合动力扩展有限元和人工蜂群算法,提出了一种新的缺陷识别模型用以检测钢筋混凝土结构内部缺陷。用扩展有限元结合水平集法描述结构内部缺陷以避免迭代计算中的网格重划分,采用钢筋混凝土组合单元模拟结构中钢筋的作用,采用广义反向策略、多维邻域搜索策略和动态全局引导策略以加快人工蜂群算法的反演效率。数值算例表明所建立的反演模型能够准确的识别结构内部缺陷的位置和大小。
A new defect recognition model was proposed to detect the internal defects of reinforced concrete structures by combining the dynamic expansion finite element method and the artificial bee colony algorithm. Using extended finite element method combined with horizontal set method to describe the internal defects of the structure, which could avoid the iterative calculation in grid partition. Reinforced concrete composite unit was used to simulate the effect of reinforcement in structure, and generalized reverse strategy, multi-dimensional neighborhood search strategy and dynamic global guidance strategy was used to accelerate the inversion efficiency of artificial swarm algorithm. The numerical example showed that the proposed inversion model could accurately identify the position and size of the internal defects in the structure.
作者
杜成斌
王翔
储冬冬
江守燕
王珍兰
DU Chengbin;WANG Xiang;CHU Dongdong;JIANG Shouyan;WANG Zhenlan(Department of engineering mechanics,Hohai University,Nanjing 210098;Jiangsu Water Conservancy Science Research Institute,Nanjing 210017,Jiangsu)
出处
《江苏水利》
2018年第5期22-26,30,共6页
Jiangsu Water Resources
基金
国家自然科学基金(51579084
11372098)
江苏省水利科技项目(2016017
2015030)
关键词
动力扩展有限元
人工蜂群算法
反分析
无损检测
dynamic expansion finite element
artificial bee colony algorithm
back analysis
nondestructive testing
