Development and Evaluation of a Computer-Aided Educational Platform for Advancing Understanding of Slope Stability Analysis

Document Type : Technical Notes

Authors

1 New Mexico Institute of Mining and Technology, Socorro, NM, 87801

2 Associate Professor, New Mexico Institute of Mining and Technology, Socorro, NM, 87801

3 Tarbiat Modares University, Tehran 14115-143, Iran monjezi@modares.ac.ir

4 4Institute for Smart Infrastructure and Innovative Construction (IsiiC), Universiti Teknologi Malaysia

5 Institute for Smart Infrastructure and Innovative Construction (IsiiC), Universiti Teknologi Malaysia

Abstract

Computer-aided educational platforms are of paramount importance as they provide students and engineers with interactive and personalized learning experiences, catering to their individual needs and enhancing their academic growth. This study presents a novel computer-aided educational platform designed by the authors to enhance the understanding of slope stability analysis for young industrial engineers and civil engineering students. The platform is implemented in MATLAB, offering a user-friendly graphical interface and a robust framework. It facilitates a comprehensive investigation of landslides, encompassing crucial aspects such as circular slip surfaces and safety considerations based on the Bishop and Ordinary method of slices. Furthermore, it enables the determination of minimum safety factors for various methods applied to specific slopes. This paper provides a detailed exposition of each program function, including complete source code, to enhance comprehension of the underlying techniques. To ascertain its accuracy, a slope with given soil properties and geometry were modeled in the MATLAB code and the performance of the MATLAB code was benchmarked against Slide software, and it showed only 5 percent error which shows the accuracy of the developed programm.

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Articles in Press, Accepted Manuscript
Available Online from 23 October 2023
  • Receive Date: 20 July 2023
  • Revise Date: 10 October 2023
  • Accept Date: 23 October 2023