TY - JOUR
TI - Fast analysis method ased on POD-RBF surrogate model
AU - Wang Yin
AU - Wang Meng-Huan
AU - Liu Zhi-Qiang
AU - Ni Na
AU - Zhao Bang-Yao
JN - Thermal Science
PY - 2025
VL - 29
IS - 2
SP - 1361
EP - 1367
PT - Article
AB - For the problems of large-scale non-linear finite element simulations, which  often involve long computation times and difficulty in convergence, this  paper presents an optimized method with good computational accuracy and  applicability. First, a sufficient amount of data is obtained through finite  element analysis or experiment, which is called a snapshot, and the  principal components of the snapshot are extracted by using the proper  orthogonal decomposition (POD) method. A low-order model of the physical  problem is then established, and a low-order surrogate model of the complex  problem is obtained by combining the radial basis function (RBF) method.  This method can quickly predict the response with input data, which  effectively shortens the computation time with good efficiency. The proposed  method provides a new method in the computation of soft actuators.