Cross-Section Design Optimization of Support Frame Beam on Slope Based on Finite Element Analysis and Intelligent Particle Swarm Optimization Algorithm
ZHANG Boxiang
SU Songlin
MA Wenjing
SU Wenji
Abstract：In this paper,the improved adaptive inertia weighted intelligent particle swarm optimization(PSO)algo-rithm was integrated with with the exterior penalty function to investigate the reinforced concrete support frame beam on a slope with a span length of 6 m subjected to uniform load.FLAC-3D finite element was used to simulate the stresses distribution in the beam subjected to uniform load.The results show that the cost of a double-reinforced beam is relatively lower than that of a single-reinforced beam when the mid-span bending momentreaches the thresh-old value of 100 kN·m.When the external force is kept unchanged,increasing the strength of the concrete in-creases the cost of the whole beam,while increasing the strength of the reinforcement decreases the cost.Stirrup spacing should be reduced in the arrangement while meeting the requirements.The pape also gives the correspond-ing explanation according to the calculation results.
Keywords：Intelligent particle swarm optimization algorithmGrid search algorithmAdaptive inertia weightExterior penalty function
Publication Date：2024-12-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 134-141 )