TRUSS STRUCTURE OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION WITH DIRECT FEM COUPLING

This paper presents a methodology for the mass optimization of truss structures using Particle Swarm Optimization (PSO) coupled with Finite Element Method (FEM) analysis. The approach allows for the modification of nodal coordinates while maintaining structural integrity under specified loading conditions. The results indicate that the PSO algorithm effectively navigates the design space to identify optimal node positions that minimize structural mass while maintaining performance requirements. This methodology offers a promising approach for structural design in engineering applications where displacement reduction is critical.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.46793/icssm25.238r
Primary Topic
Laser and Thermal Forming Techniques
Type
article
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article

TRUSS STRUCTURE OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION WITH DIRECT FEM COUPLING

Nataša Trišović, Ognjen Ristić
Laser and Thermal Forming Techniques
article

TRUSS STRUCTURE OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION WITH DIRECT FEM COUPLING

Nataša Trišović, Ognjen Ristić
article en

Abstract

This paper presents a methodology for the mass optimization of truss structures using Particle Swarm Optimization (PSO) coupled with Finite Element Method (FEM) analysis. The approach allows for the modification of nodal coordinates while maintaining structural integrity under specified loading conditions. The results indicate that the PSO algorithm effectively navigates the design space to identify optimal node positions that minimize structural mass while maintaining performance requirements. This methodology offers a promising approach for structural design in engineering applications where displacement reduction is critical.

Openalex Percentile: Top 86%
Laser and Thermal Forming Techniques
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TRUSS STRUCTURE OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION WITH DIRECT FEM COUPLING — Nataša Trišović, Ognjen Ristić · (2025) | TGRS Research Map | TGRS