Abstract: A new response surface methodology (RSM) based neural network (NN) modeling method is proposed for finnedtube evaporator performance evaluation under dry and wet conditions. Two RSM designs, Box–Behnken design (BBD) and ...

Abstract: The ultimate bearing capacity of masonry retaining wall slope is studied by combining the upper-bound theorem, the mixed numerical discretization, and the linear programming. First, the soil mass is discretized by triangular ...

Abstract: The computational efficiencies of traditional reliability methods, such as Monte Carlo (MC), are extremely low. There are also some shortcomings for surrogate model (SM)-based methods, e.g., the sample points of the quadratic ...

Abstract: Abstract Karst foundations, characterized by caves and weak interlayers, pose significant challenges in stability assessment. Traditional 2D methods fail to capture the complex spatial interactions governing load transfer ...