Wu Qi
Full Professor
Shanghai Institute of Special Equipment Inspection & Technical Research, Shanghai
Jin Qihua
Senior Research Associate
Shanghai Institute of Special Equipment Inspection & Technical Research
Xu Haixiang
Senior Research Associate
Shanghai Institute of Special Equipment Inspection & Technical Research
Tang Xiaoying
Full Professor
Shanghai Institute of Special Equipment Inspection & Technical Research
Full Professor
Shanghai Institute of Special Equipment Inspection & Technical Research, Shanghai
Jin Qihua
Senior Research Associate
Shanghai Institute of Special Equipment Inspection & Technical Research
Xu Haixiang
Senior Research Associate
Shanghai Institute of Special Equipment Inspection & Technical Research
Tang Xiaoying
Full Professor
Shanghai Institute of Special Equipment Inspection & Technical Research
A method based on support vector machine regression algorithm to predict fatigue life of structure
According to the corresponding relationship between load, fatigue damage and material performance parameters, the fatigue life prediction model is established by using support vector regression algorithm, which is used to predict fatigue life. The method can reflect the order of fatigue load and realize the nonlinear accumulation of fatigue damage. The effectiveness of the method is demonstrated by an example, the results show that this method predicts precisely material fatigue life with less data on fatigue property, which can satisfy the accuracy of engineering.
