广西大学学报(自然科学版)
廣西大學學報(自然科學版)
엄서대학학보(자연과학판)
JOURNAL OF GUANGXI UNIVERSITY (NATURAL SCIENCE EDITION)
2015年
2期
292-297
,共6页
邹万杰%章云霞%李传高%郭昭君%寇金鑫
鄒萬傑%章雲霞%李傳高%郭昭君%寇金鑫
추만걸%장운하%리전고%곽소군%구금흠
频响函数%粒子群算法%相关系数%损伤识别
頻響函數%粒子群算法%相關繫數%損傷識彆
빈향함수%입자군산법%상관계수%손상식별
frequency response function%particle swarm algorithm%correlation coefficient%damage identification
为了验证粒子群算法( PSO)在结构损伤识别领域的有效性和可行性,提出了一种基于频响函数和粒子群算法的结构损伤识别方法。以单元刚度折减因子为优化变量,采用实测频响函数和计算频响函数的相关系数来构造粒子群算法的优化目标函数和适应度函数,通过该算法对IASC-ASCE SHM Benchmark结构损伤进行识别。结果表明,即使考虑一定测量噪声水平的影响,仍然能够将结构的损伤识别出来。
為瞭驗證粒子群算法( PSO)在結構損傷識彆領域的有效性和可行性,提齣瞭一種基于頻響函數和粒子群算法的結構損傷識彆方法。以單元剛度摺減因子為優化變量,採用實測頻響函數和計算頻響函數的相關繫數來構造粒子群算法的優化目標函數和適應度函數,通過該算法對IASC-ASCE SHM Benchmark結構損傷進行識彆。結果錶明,即使攷慮一定測量譟聲水平的影響,仍然能夠將結構的損傷識彆齣來。
위료험증입자군산법( PSO)재결구손상식별영역적유효성화가행성,제출료일충기우빈향함수화입자군산법적결구손상식별방법。이단원강도절감인자위우화변량,채용실측빈향함수화계산빈향함수적상관계수래구조입자군산법적우화목표함수화괄응도함수,통과해산법대IASC-ASCE SHM Benchmark결구손상진행식별。결과표명,즉사고필일정측량조성수평적영향,잉연능구장결구적손상식별출래。
A combined method based on frequency response function ( FRF) and particle swarm op-timization ( PSO) for structural damage identification was presented in order to verify that the PSO is effective and feasible in the field of structural damage identification. The reduction factors of element stiffness were used as the optimization variables, and the cross signature assurance of the measured FRF and the analytical FRF were used to construct the optimization object function and the fitness function of PSO. PSO is used to identify the damage of IASC-ASCE SHM Benchmark structure under noise influence. The results show that, considering measurement noise, the damage of the structure was still identified well.