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Majidreza Nazem

Royal Melbourne Institute of Technology (RMIT University)

124 La Trobe Street

Melbourne, 3000

Australia

SCHOLARLY PAPERS

5

DOWNLOADS

318

TOTAL CITATIONS

0

Scholarly Papers (5)

1.

A Universal Machine Learning Model for Three-Dimensional Slope Stability Prediction in Diverse Geotechnical and Geometric Conditions

Number of pages: 79 Posted: 11 Sep 2024
affiliation not provided to SSRN, Iran University of Science and Technology, Royal Melbourne Institute of Technology (RMIT University) and Colorado School of Mines
Downloads 98 (709,832)

Abstract:

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Slope stability, Three-Dimensional Modelling, machine learning, Hyperparameter Optimisation, Anisotropic Heterogeneous Conditions, Seismic Analysis

2.

Static and Seismic Stability of Dual Tunnels at Varying Depths in Cohesive-Frictional Soils Using a Mixed Formulation of Limit Analysis

Number of pages: 41 Posted: 11 Jul 2023
Hoang Nguyen, Xue ZHANG and Majidreza Nazem
Imperial College London, University of Liverpool and Royal Melbourne Institute of Technology (RMIT University)
Downloads 96 (709,832)

Abstract:

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dual tunnels, collapse loads, smoothed finite element method, stress-based upper bound limit analysis.

3.

Deep learning for the static and seismic bearing capacity of shallow strip footings on multi-layered slopes considering spatial soil variability

Number of pages: 63 Posted: 12 Dec 2025
Xian Technological University, HUTECH University, Xian Technological University, affiliation not provided to SSRN, affiliation not provided to SSRN and Royal Melbourne Institute of Technology (RMIT University)
Downloads 51 (1,063,489)

Abstract:

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Cell-based smoothed finite element method (CS-FEM), deep learning, Static and seismic bearing capacity, Spatially variable soils, Stratified Slope.

4.

Global-Local Fusion Neural Networks for Static and Seismic Footing Bearing Capacity on Spatially Variable Slopes

Number of pages: 29 Posted: 09 Sep 2025
Xian Technological University, Imperial College London, Xian Technological University, affiliation not provided to SSRN and Royal Melbourne Institute of Technology (RMIT University)
Downloads 40 (1,196,171)

Abstract:

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Fully connected neural networks (FCNs), Seismic and static bearing capacity, Spatially varying soils.

5.

A hybrid method combining CS-FEM and deep learning for assessing the bearing capacity of strip footing on square voids

Number of pages: 59 Posted: 07 Mar 2026
Xian Technological University, HUTECH University, Ton Duc Thang University, New York University (NYU) - New York University, affiliation not provided to SSRN, Royal Melbourne Institute of Technology (RMIT University) and Xian Technological University
Downloads 33 (1,304,549)

Abstract:

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Cell-based smoothed finite element method (CS-FEM), Convolutional neural network (CNN) models, Footings above voids, Static and seismic bearing capacity, Spatially variable soils.