摘要
针对空心板梁有限元模型修正,利用Kriging模型作为响应面,对空心板梁不同位置的损伤进行准确修正。文章以不同空心板梁不同位置的弹性模量作为修正变量,通过最优拉丁超立方抽样法进行抽样,通过移动载荷下空心板梁挠度影响线差值平方和作为目标函数,建立Kriging响应面,利用线性权重递减粒子群算法进行优化求解。结果证明该方法能够求解出空心板的局部损伤弹性模量。
Aiming at the finite element model modification of hollow slab beam,Kriging model is used as the response surface to accurately correct the damage at different positions of hollow slab beam.In this paper,the elastic modulus of different hollow slab beams at different positions is taken as the correction variable,the sampling is carried out through the optimal Latin hypercube sampling,and the sum of the squares of the deflection influence lines of hollow slab beams under moving load is taken as the objective function to establish the Kriging response surface,and the linear weight decreasing particle swarm optimization algorithm is used to optimize the solution.The results show that this method can solve the local damage elastic modulus of hollow slab.
出处
《大众科技》
2023年第3期33-37,共5页
Popular Science & Technology
关键词
有限元模型修正
KRIGING模型
最优拉丁超立方抽样试验
线性权重递减粒子群算法
finite element model modification
Kriging model
optimal latin hypercube sampling test
linear weight decreasing particle swarm optimization algorithm