Size Optimisation of 2D Frame Structures using Inexact Restoration

In this paper, we focus on the size optimization of frame structures with the aim of minimizing the structural weight under the necessary conditions for serviceability and usability, such as deformation and stress constraints.Using the Finite Element Method, this approach leads to the area of nonlinear programming with a nonlinear cost function as well as nonlinear inequality constraints.We tackle this issue using Inexact Restoration (IR).Unlike traditional optimization methods, the IR algorithm separates the feasibility restoration from the objective function improvement, allowing for a more efficient search for the optimal solution.This method is particularly advantageous in dealing with the complex, non-linear behavior of beam structures with various constraints.We review the theory, present our implementation and compare results using a benchmark.

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Publication Details

Journal
Civil-comp conferences
Published
2024-08-26
DOI
https://doi.org/10.4203/ccc.9.10.4
Citations
1
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
0.12
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Size Optimisation of 2D Frame Structures using Inexact Restoration

M. Cermak, Matous Mrovec, Lukáš Pospíšil, Tadeáš Světlík
1 citations
Civil-comp conferences
Optical measurement and interference techniques
0.12
article

Size Optimisation of 2D Frame Structures using Inexact Restoration

M. Cermak, Matous Mrovec, Lukáš Pospíšil, Tadeáš Světlík
article en
1 citations

Abstract

In this paper, we focus on the size optimization of frame structures with the aim of minimizing the structural weight under the necessary conditions for serviceability and usability, such as deformation and stress constraints.Using the Finite Element Method, this approach leads to the area of nonlinear programming with a nonlinear cost function as well as nonlinear inequality constraints.We tackle this issue using Inexact Restoration (IR).Unlike traditional optimization methods, the IR algorithm separates the feasibility restoration from the objective function improvement, allowing for a more efficient search for the optimal solution.This method is particularly advantageous in dealing with the complex, non-linear behavior of beam structures with various constraints.We review the theory, present our implementation and compare results using a benchmark.

Civil-comp conferencesVol. 9
The University of Sydney (AU), VSB - Technical University of Ostrava (CZ)
Sustainable cities and communities
Openalex Percentile: Top 71%
Optical measurement and interference techniques
0.12
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