CAJ | 학술논문

以由结构输入输出数据计算所得实测频响函数与理论频响函数差值最小化为优化目标，通过对理论频响函数中所含结构模态参数搜索取值使目标函数最小，即将结构模态参数识别问题转化为优化问题。采用量子粒子群算法对此过程优化计算，获得结构模态参数。用数值模拟六层框架结构对该方法进行验证。结果表明，量子粒子群可有效识别结构模态参数。
이유결구수입수출수거계산소득실측빈향함수여이론빈향함수차치최소화위우화목표，통과대이론빈향함수중소함결구모태삼수수색취치사목표함수최소，즉장결구모태삼수식별문제전화위우화문제。채용양자입자군산법대차과정우화계산，획득결구모태삼수。용수치모의륙층광가결구대해방법진행험증。결과표명，양자입자군가유효식별결구모태삼수。
Quantum-behaved particle swarm optimization,as a development of particle swarm optimization,is an optimization algorithm based on swarm intelligence.Thanks to its advantages of less parameters,simple programming and fast convergence,the quantum-behaved particle swarm optimization has received much concern.The difference between theoretical and calculated results of frequency response function was adopted as an objective function of optimization issue. The optimal objective value was gained through searching reasonable modal parameters.Then,the issue of structural modal identification was converted into an optimization issue.During the optimization procedure,the method of quantum-behaved particle swarm optimization was adopted and the modal parameters were identified.Finally,the modal parameter identification method based on quantum-behaved particle swarm optimization presented herein was verified through the numerical simulation of a six-story frame structure.The calculation results show that the method can effectively identify the structural modal parameters.