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Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm

In the present work, the working state of the crane leg is analyzed and discussed, and its structure is optimized. SolidWorks software is used for modeling; ANSYS software is used for finite element analysis. First of all, the constrained finite element method (CFEM) is used to analyze the linear ei...

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Autores principales: Liu, Zhi-Hai, Tian, Shao-Lu, Zeng, Qing-Liang, Gao, Kui-Dong, Cui, Xin-Long, Wang, Cheng-Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455008/
https://www.ncbi.nlm.nih.gov/pubmed/34121517
http://dx.doi.org/10.1177/00368504211023277
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author Liu, Zhi-Hai
Tian, Shao-Lu
Zeng, Qing-Liang
Gao, Kui-Dong
Cui, Xin-Long
Wang, Cheng-Long
author_facet Liu, Zhi-Hai
Tian, Shao-Lu
Zeng, Qing-Liang
Gao, Kui-Dong
Cui, Xin-Long
Wang, Cheng-Long
author_sort Liu, Zhi-Hai
collection PubMed
description In the present work, the working state of the crane leg is analyzed and discussed, and its structure is optimized. SolidWorks software is used for modeling; ANSYS software is used for finite element analysis. First of all, the constrained finite element method (CFEM) is used to analyze the linear eigenvalue buckling and geometric nonlinear buckling of outriggers with different cross-section shapes. Prove that the curved leg has certain advantages in buckling. At the same time, analyzing the leg along a different path of buckling condition and stress changes provide the basis for the design of the subsequent reinforcement. After selecting the best cross-section shape of the outrigger, the agent-based multi-island genetic algorithm is used to optimize the structural parameters of the outrigger under the transverse stiffened plate reinforced structure and the longitudinally stiffened plate reinforced structure respectively. It is proved that the outrigger with the transverse stiffened plate has a significant effect in improving the bearing capacity and in the lightweight of the structure. Finally, the gap between the movable leg and the fixed leg was changed, the stress of different gaps was analyzed by using the finite element method, and the appropriate gap value was selected according to the high-order fitting curve.
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spelling pubmed-104550082023-08-26 Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm Liu, Zhi-Hai Tian, Shao-Lu Zeng, Qing-Liang Gao, Kui-Dong Cui, Xin-Long Wang, Cheng-Long Sci Prog Article In the present work, the working state of the crane leg is analyzed and discussed, and its structure is optimized. SolidWorks software is used for modeling; ANSYS software is used for finite element analysis. First of all, the constrained finite element method (CFEM) is used to analyze the linear eigenvalue buckling and geometric nonlinear buckling of outriggers with different cross-section shapes. Prove that the curved leg has certain advantages in buckling. At the same time, analyzing the leg along a different path of buckling condition and stress changes provide the basis for the design of the subsequent reinforcement. After selecting the best cross-section shape of the outrigger, the agent-based multi-island genetic algorithm is used to optimize the structural parameters of the outrigger under the transverse stiffened plate reinforced structure and the longitudinally stiffened plate reinforced structure respectively. It is proved that the outrigger with the transverse stiffened plate has a significant effect in improving the bearing capacity and in the lightweight of the structure. Finally, the gap between the movable leg and the fixed leg was changed, the stress of different gaps was analyzed by using the finite element method, and the appropriate gap value was selected according to the high-order fitting curve. SAGE Publications 2021-06-14 /pmc/articles/PMC10455008/ /pubmed/34121517 http://dx.doi.org/10.1177/00368504211023277 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Liu, Zhi-Hai
Tian, Shao-Lu
Zeng, Qing-Liang
Gao, Kui-Dong
Cui, Xin-Long
Wang, Cheng-Long
Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm
title Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm
title_full Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm
title_fullStr Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm
title_full_unstemmed Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm
title_short Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm
title_sort optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455008/
https://www.ncbi.nlm.nih.gov/pubmed/34121517
http://dx.doi.org/10.1177/00368504211023277
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