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

Guardado en:
Publicado en:Natural Hazards vol. 121, no. 1 (Jan 2025), p. 225
Publicado:
Springer Nature B.V.
Materias:
Landslides
Particle swarm optimization
Structural engineering
Embankments
Construction
Algorithms
Sensitivity analysis
Parameter sensitivity
Optimization
Slope stability
Safety engineering
Computer software
Structural design
Slope stabilization
Design
Embankment stability
Natural disasters
Prestressing
Disasters
Particle beams
Design optimization
Lattice design
Environmental
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:0921-030X
1573-0840
DOI:10.1007/s11069-024-06783-y
Fuente:Science Database