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A new improved particle swarm algorithm for optimization of anchor lattice beam support structures

Author

Listed:
  • Yang Liu

    (Xi’an Polytechnic University)

  • Jintao He

    (Xi’an Polytechnic University)

  • Jiong Liang

    (Chinese Academy of Geological Sciences)

  • Wentao Wang

    (University of Michigan)

  • Zimu Wang

    (Xi’an Polytechnic University)

Abstract

Landslides are one of the most common natural disasters. Supporting structure plays an important role in landslide control. Slope stabilization with the application of anchor lattice beams has drawn considerable attention. However, existing structural design approaches tend to be conservative, and solutions for optimal anchor grid design are demanding. In this study, an object-oriented computer program was developed by using Python to optimize anchor lattice beam parameters in slope construction. The program utilized an improved particle swarm optimization (PSO) algorithm. It served as an efficient way to figure out the optimal parameter combination to enhance embankment construction design quality and safety. The PSO-based optimization demonstrated significant improvements in slope stability and safety, resulting in up to 30.5% average enhancement compared to non-optimized designs. Sensitivity analyses on the distance of the anchor, prestress, and angle of the anchor revealed the influence of each parameter on leading the way to appropriate anchorage conditions for anchor lattice beam support structures.

Suggested Citation

  • Yang Liu & Jintao He & Jiong Liang & Wentao Wang & Zimu Wang, 2025. "A new improved particle swarm algorithm for optimization of anchor lattice beam support structures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(1), pages 225-243, January.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:1:d:10.1007_s11069-024-06783-y
    DOI: 10.1007/s11069-024-06783-y
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