Abstract: Deep learning (DL) algorithm bidirectional long short-term memory (BiLSTM) neural network is employed to model behaviors of the soil–structure interface in this study, as a pioneer research work to investigate the feasibility ...

Abstract: This study develops a novel method for reconstructing three dimensional (3D) granular grains from computed tomography (CT) images. Unlike previous studies requiring trial-and-error hyperparameters, the hybrid algorithm ...

Abstract: Rigorous modeling of the stress-induced anisotropy of soils with different stress histories and loading conditions typically requires advanced constitutive models. However, calibration of state-of-the-art constitutive ...

Abstract: This study presents an application of horizontal spoil discharge jet-grouting (SDJG) columns in soil improvement between the new undercrossing tunnels and the existing tunnels in Changsha, China. To investigate the impact ...

Abstract: Coupled hydromechanical finite-element modeling of granular soils, taking into account internal erosion, is computationally prohibitive. Alternative data-driven approaches require large data sets for training and often ...

Abstract: Conventional semiempirical predictive models for seismically induced slope displacement (D) are generally developed based on as-recorded orthogonal ground motion components. Considering orthogonal records reveals that the ...

Abstract: It is an ongoing problem to develop a solution to predict ground deformation induced by shallow tunnels construction in dry soils. This study proposes a closed-form elastic analytical solution and a plastic analytical ...