Structural optimization–based fatigue durability analysis of electric multiple units cowcatcher

This study aims to evaluate the fatigue durability of a cowcatcher and optimize its structure. The cowcatcher, which serves as the crucial component of electric multiple units, generally influences the electric multiple units operating security and stability. A finite element model considering mater...

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Main Authors: Yonghua Li, Yuhan Li, Yuedong Wang, Jian Wang
Format: Article
Language:English
Published: SAGE Publishing 2017-08-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814017726294
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spelling doaj-5f6fa7d9978340c19a423fddc472be9c2020-11-25T03:20:35ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402017-08-01910.1177/1687814017726294Structural optimization–based fatigue durability analysis of electric multiple units cowcatcherYonghua LiYuhan LiYuedong WangJian WangThis study aims to evaluate the fatigue durability of a cowcatcher and optimize its structure. The cowcatcher, which serves as the crucial component of electric multiple units, generally influences the electric multiple units operating security and stability. A finite element model considering material properties and geometry sizes of the cowcatcher is established for structural strength analysis. Based on the P-S-N curve, the nominal stress method is introduced to analyze the fatigue durability of the cowcatcher. Considering influences of input variables such as elastic modulus, Poisson ratio, loads, and plate thickness on the fatigue durability, the parametric model of cowcatcher is built. In addition, three-level fractional factorial design is chosen to ascertain the location of sampling points in the above variables’ sampling space. The response surface of the cowcatcher is fitted using Kriging model. Then, a non-linear programming by quadratic Lagrangian algorithm is proposed for optimizing the cowcatcher structure. With a comparison of fatigue durability pre-optimization and post-optimization, conclusions on cowcatcher design and application are made. The proposed method not only prolongs the fatigue life of the cowcatcher but also improves its structure reliability.https://doi.org/10.1177/1687814017726294
collection DOAJ
language English
format Article
sources DOAJ
author Yonghua Li
Yuhan Li
Yuedong Wang
Jian Wang
spellingShingle Yonghua Li
Yuhan Li
Yuedong Wang
Jian Wang
Structural optimization–based fatigue durability analysis of electric multiple units cowcatcher
Advances in Mechanical Engineering
author_facet Yonghua Li
Yuhan Li
Yuedong Wang
Jian Wang
author_sort Yonghua Li
title Structural optimization–based fatigue durability analysis of electric multiple units cowcatcher
title_short Structural optimization–based fatigue durability analysis of electric multiple units cowcatcher
title_full Structural optimization–based fatigue durability analysis of electric multiple units cowcatcher
title_fullStr Structural optimization–based fatigue durability analysis of electric multiple units cowcatcher
title_full_unstemmed Structural optimization–based fatigue durability analysis of electric multiple units cowcatcher
title_sort structural optimization–based fatigue durability analysis of electric multiple units cowcatcher
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2017-08-01
description This study aims to evaluate the fatigue durability of a cowcatcher and optimize its structure. The cowcatcher, which serves as the crucial component of electric multiple units, generally influences the electric multiple units operating security and stability. A finite element model considering material properties and geometry sizes of the cowcatcher is established for structural strength analysis. Based on the P-S-N curve, the nominal stress method is introduced to analyze the fatigue durability of the cowcatcher. Considering influences of input variables such as elastic modulus, Poisson ratio, loads, and plate thickness on the fatigue durability, the parametric model of cowcatcher is built. In addition, three-level fractional factorial design is chosen to ascertain the location of sampling points in the above variables’ sampling space. The response surface of the cowcatcher is fitted using Kriging model. Then, a non-linear programming by quadratic Lagrangian algorithm is proposed for optimizing the cowcatcher structure. With a comparison of fatigue durability pre-optimization and post-optimization, conclusions on cowcatcher design and application are made. The proposed method not only prolongs the fatigue life of the cowcatcher but also improves its structure reliability.
url https://doi.org/10.1177/1687814017726294
work_keys_str_mv AT yonghuali structuraloptimizationbasedfatiguedurabilityanalysisofelectricmultipleunitscowcatcher
AT yuhanli structuraloptimizationbasedfatiguedurabilityanalysisofelectricmultipleunitscowcatcher
AT yuedongwang structuraloptimizationbasedfatiguedurabilityanalysisofelectricmultipleunitscowcatcher
AT jianwang structuraloptimizationbasedfatiguedurabilityanalysisofelectricmultipleunitscowcatcher
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