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

Document Type : Technical Notes

Authors

1 M.Sc., New Mexico Institute of Mining and Technology, Socorro, United States of America

2 Associate Professor, New Mexico Institute of Mining and Technology, Socorro, United States of America

3 Professor, Department of Mining, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran.

4 Professor, Institute for Smart Infrastructure and Innovative Construction (IsiiC), University Technology 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 this code was benchmarked against Slide software. It showed only 5 percent error which shows the accuracy of the developed program.

Keywords

Main Subjects

References

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Civil Engineering Infrastructures Journal
Volume 57, Issue 2
December 2024
Pages 371-382

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History

  • Receive Date: 20 July 2023
  • Revise Date: 06 September 2023
  • Accept Date: 02 October 2023

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