智能优化算法在结构损伤识别中的应用  

Application of intelligent optimization algorithm to damage detection of structure

作　　者：王延伟[1] 宋旭坤 温瑞智[1] 丰彪[1] 

机构地区：[1]中国地震局工程力学研究所,黑龙江哈尔滨150080 [2]中建五局第三建设有限公司,湖南长沙410000

出　　处：《世界地震工程》2011年第4期44-51,共8页World Earthquake Engineering

基　　金：中国地震局工程力学研究所基本科研业务费专项资助项目2008B010;国家重点基础研究发展计划(973)项目2007CB714205;国家科技支撑计划项目2009BAK55B05

摘　　要：利用智能优化算法进行结构的损伤识别是近年来的研究热点,其基本思路是将实测数据和数值模型的输出定义为结构参数的目标函数,通过搜索目标函数的最小值来得到结构参数,并根据这些参数在损伤前后的变化情况来识别损伤。目标函数可以有多种定义方式,智能优化算法也有多种算法可以选择,为了得到最佳的计算效果,利用4种目标函数和3种智能优化算法进行了损伤识别的数值模拟。计算结果表明,由加速度时程响应定义的目标函数与差分进化算法相结合具有很好的识别精度和抗噪能力。The structural damage detection in use of intelligent optimization algorithm has been a hot research topic recently.Its basic idea is that measured response and calculated response are defined as objective function of structural parameters,then the structural parameters are obtained by minimizing the objective function,and then the changes of the parameters before and after damage can be used to detect the damage.As the objective function can be defined in terms of many formulations and the intelligent optimization algorithm can also be chosen from many types of algorithms,in order to obtain the optimum calculation results,four objective functions and three intelligent optimization algorithms were used for the numerical simulations of damage detection.The results show that the combination of the objective function defined by acceleration history response and DE algorithm has high accuracy of detection and well ability in anti noise.

关 键 词：损伤识别 参数辨识 智能优化算法 目标函数 

分 类 号：TU311.3[建筑科学—结构工程]