摘要
提出了一种基于Kriging近似模型和粒子群(Particle Swarm Optimization,PSO)优化算法的含区间参数结构的固有频率范围估计方法。基于Kriging模型优良的局部拟合性质,并经过误差检验和相关参数调整后,建立了满足精度要求的固有频率近似模型;基于PSO算法出色的全局寻优性能,对固有频率近似模型在区间参数空间内进行全局优化求解,获得区间不确定结构固有频率范围估计值。对某型燃气轮机涡轮叶片进行了实例分析,结果表明文中方法的效率和精度能够满足工程要求,其可行性和合理性得到了验证。
A method for the natural frequency bounds estimation is proposed using the Kriging model and PSO（Particle Swarm Optimization）. We can obtain the accurate metamodeling of the natural frequency by Kriging model construction, error detection and parameter adjustment. Based on the PSO algorithm, the natural frequency bounds can be obtained by global optimization. The algorithm steps are given. An engineering example of a turbine blade is given. The results obtained reveal the effectiveness and accuracy of the proposed method. The accurate estimation can be realized with low cost of numerical computation.
出处
《应用力学学报》
CAS
CSCD
北大核心
2015年第1期46-51,171,共6页
Chinese Journal of Applied Mechanics
基金
海军工程大学自然科学基金(HGDQNJJ13013)
