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Optimal design of a multistage slope using the multi-verse optimization algorithm.

Pingyang Fan1,2, Junhua Chen3, Junwen Chen3

  • 1School of Geosciences and Info-Physics, Central South University, Changsha, 410083, China. fanpingyang1601@163.com.

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|February 21, 2025
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Summary

Rock mass excavation enhances slope stability. This study optimized multistage slope design using FLAC3D and multi-verse optimization (MVO), proving its practical application in engineering.

Keywords:
Factor of safety (FOS)Multi-verse optimization (MVO)Multistage slopeNumerical simulation

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Area of Science:

  • Geotechnical Engineering
  • Rock Mechanics
  • Computational Geosciences

Background:

  • Slope stability is critical in civil engineering.
  • Rock mass excavation is a key method for ensuring slope stability.
  • Optimizing multistage slope design is essential for practical applications.

Purpose of the Study:

  • To develop a practical and optimal multistage slope design using rock mass excavation.
  • To apply numerical simulation and optimization algorithms for slope design.
  • To validate the proposed design in real-world engineering scenarios.

Main Methods:

  • Numerical simulation using FLAC3D software.
  • Multi-verse optimization (MVO) algorithm for optimal slope design.
  • Implementation and monitoring of the designed slope in engineering practice.

Main Results:

  • An optimal multistage slope design was achieved through MVO and FLAC3D simulation.
  • The implemented design demonstrated practical feasibility in slope engineering.
  • Recorded displacement data validated the effectiveness of the optimized design.

Conclusions:

  • The proposed optimal multistage slope design is practical and effective for rock mass excavation.
  • Numerical simulation combined with MVO provides a robust approach for slope engineering.
  • The study confirms the suitability of the optimized design for real-world applications.