Fatigue life prediction of wood core composite sandwich structure based on the bp neural network
Taking the fatigue test data from three-point and four-point bending fatigue tests of wood core composite sandwich structures under various experimental conditions as samples,constructed the load level-fatigue life(S-N)curve model and the BP neural network model to predict the fatigue life of the specimens.Additionally,the BP neural network was utilized to perform a weight analysis on the factors influencing the fatigue life of the wood core composite sandwich structures.The results indicate that the exponential function model,power function model,and BP neural network model can all effectively predict the fatigue life of the wood core composite sandwich structures,with the BP neural network model demonstrating the highest predictive accuracy.The influence of the load level,homogenized grid web area ratio,and span-to-height ratio on fatigue life decreases sequentially.Configuring the lattice webs is one of the effective methods to enhance the fatigue life of wood core composite sandwich structures.
wood core composite structurefatigue life predictionS-N curveBPNN
国家科技期刊平台
NSTL
万方数据
