Abstract: This paper explores the use of a variational autoencoder to predict the embankment settlement and pore water pressure based on monitoring data. A variational autoencoder can learn intrinsic patterns in embankment behavior ...

Abstract: This paper proposes a Bayesian network approach to predict the shear modulus and maximum friction angle of sand. The nonlinear correlations between sand parameters can be incorporated in the probability distribution ...