A gradient continuous smoothed GFEM for heat transfer and thermoelasticity analyses

Dynamic reliability analysis of gear transmission system based on sparse grid numerical integration and saddle‐point approximation method

“…Another widely used strategy to handle dynamic problems is the surrogate model-based methods. Typical surrogate models include artificial neural network (ANN), [17][18][19][20] polynomial chaos expansion, [21][22][23][24] Kriging model, [25][26][27] and so on. Generally speaking, if the surrogate model is well trained, it can provide very precise results for dynamic evaluation.…”