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

Yang Liu (), Jintao He, Jiong Liang, Wentao Wang () and Zimu Wang
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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

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 1, No 10, 225-243

Abstract: 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.

Keywords: Improved particle swarm algorithm; Anchor lattice beam structure; Support structures; Optimization (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11069-024-06783-y

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