A Multi-objective Control Method for Structural Static Displacement Based on Projection Parameters Sorting Method

In the field of structural optimization, reasonable selection of parameters and obtaining optimized solutions are key issues. This paper proposes a multi-objective optimization method for static displacement based on the Projection Parameter Sorting Method (PPSM). This method sorts parameters based...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 3004; no. 1; pp. 12048 - 12062
Main Authors: Ma, Kai, Gao, Yu-Bin, Tao, Yan, Wang, Wen-Tao, Wu, Shuai-Chen
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.05.2025
Subjects:
Algorithms
Control methods
Epsilon algorithm
Multiple objective analysis
Optimal amount of modification
Optimization
Parameter sensitivity
Projection priority
Sensitivity analysis
Solid mechanics
Trussed structures
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary:In the field of structural optimization, reasonable selection of parameters and obtaining optimized solutions are key issues. This paper proposes a multi-objective optimization method for static displacement based on the Projection Parameter Sorting Method (PPSM). This method sorts parameters based on the projection characteristics of the parameter sensitivity vector, and uses the Epsilon algorithm and improved Neumann series to calculate the structural static sensitivity. Through iteration, combinations are selected and parameters are corrected according to a given number of parameters, and it is applicable to multi-objective problems with limited parameters. In the example, this method has a significant optimization effect on truss structures and is superior to the optimization results of random parameter selection. What are the common optimization methods in the field of multi-objective optimization of static displacement? How to determine the number of parameters in the projection parameter sorting method? Share some practical cases of structural optimization.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/3004/1/012048