Multiple-Criteria Evaluation of Thin-Walled Energy-Absorbing Structures of Train Under Fuzzy Environment: Modeling and Algorithm

High-speed train is of great significance in the modern comprehensive transportation system. Bio-inspired engineering design, with the excellent structural and mechanical properties of the biological systems, has been a widespread concern in the design of thin-walled energy-absorbing structures for...

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Autores principales: Hongliang Li, Jiangjie Qiu, Tao Li, Guoquan Xie, Danqi Wang, Wenjie Wang
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/f06869c2b2414ae89fac8e7f27d11358
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spelling oai:doaj.org-article:f06869c2b2414ae89fac8e7f27d113582021-11-18T00:08:41ZMultiple-Criteria Evaluation of Thin-Walled Energy-Absorbing Structures of Train Under Fuzzy Environment: Modeling and Algorithm2169-353610.1109/ACCESS.2021.3125397https://doaj.org/article/f06869c2b2414ae89fac8e7f27d113582021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9600849/https://doaj.org/toc/2169-3536High-speed train is of great significance in the modern comprehensive transportation system. Bio-inspired engineering design, with the excellent structural and mechanical properties of the biological systems, has been a widespread concern in the design of thin-walled energy-absorbing structures for high-speed trains. However, different structural characteristics have significant effects on the performance of crashworthiness and lightweight level. Collaboration matching of performance between design and operational processes considering the engineering requirements has become an urgent problem. This study constructs the finite element model of the horsetail-bionic thin-walled energy-absorbing structure, which is inspired by horsetail’s structural characteristics. An existing high-speed train is set as the empirical case. The effects of the number of cross-section configurations on the performances of crashworthiness and light level are explored under the condition of train collision. A hybrid decision-making methodology that combines fuzzy DEMATEL and TODIM is proposed. The result shows the horsetail-bionic thin-walled structure with six-floor plates is the optimal alternative considering the multiple criteria. In addition, comparison with the existing methods and sensitivity analysis are conducted to validate the reliability of this proposed approach. This study provides an effective decision support tool for crashworthiness evaluation or structural feature selection of thin-walled structures.Hongliang LiJiangjie QiuTao LiGuoquan XieDanqi WangWenjie WangIEEEarticleEnergy absorbing structurestransportationhigh-speed trainevaluation algorithmsustainabilityElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150393-150402 (2021)
institution DOAJ
collection DOAJ
language EN
topic Energy absorbing structures
transportation
high-speed train
evaluation algorithm
sustainability
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Energy absorbing structures
transportation
high-speed train
evaluation algorithm
sustainability
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Hongliang Li
Jiangjie Qiu
Tao Li
Guoquan Xie
Danqi Wang
Wenjie Wang
Multiple-Criteria Evaluation of Thin-Walled Energy-Absorbing Structures of Train Under Fuzzy Environment: Modeling and Algorithm
description High-speed train is of great significance in the modern comprehensive transportation system. Bio-inspired engineering design, with the excellent structural and mechanical properties of the biological systems, has been a widespread concern in the design of thin-walled energy-absorbing structures for high-speed trains. However, different structural characteristics have significant effects on the performance of crashworthiness and lightweight level. Collaboration matching of performance between design and operational processes considering the engineering requirements has become an urgent problem. This study constructs the finite element model of the horsetail-bionic thin-walled energy-absorbing structure, which is inspired by horsetail’s structural characteristics. An existing high-speed train is set as the empirical case. The effects of the number of cross-section configurations on the performances of crashworthiness and light level are explored under the condition of train collision. A hybrid decision-making methodology that combines fuzzy DEMATEL and TODIM is proposed. The result shows the horsetail-bionic thin-walled structure with six-floor plates is the optimal alternative considering the multiple criteria. In addition, comparison with the existing methods and sensitivity analysis are conducted to validate the reliability of this proposed approach. This study provides an effective decision support tool for crashworthiness evaluation or structural feature selection of thin-walled structures.
format article
author Hongliang Li
Jiangjie Qiu
Tao Li
Guoquan Xie
Danqi Wang
Wenjie Wang
author_facet Hongliang Li
Jiangjie Qiu
Tao Li
Guoquan Xie
Danqi Wang
Wenjie Wang
author_sort Hongliang Li
title Multiple-Criteria Evaluation of Thin-Walled Energy-Absorbing Structures of Train Under Fuzzy Environment: Modeling and Algorithm
title_short Multiple-Criteria Evaluation of Thin-Walled Energy-Absorbing Structures of Train Under Fuzzy Environment: Modeling and Algorithm
title_full Multiple-Criteria Evaluation of Thin-Walled Energy-Absorbing Structures of Train Under Fuzzy Environment: Modeling and Algorithm
title_fullStr Multiple-Criteria Evaluation of Thin-Walled Energy-Absorbing Structures of Train Under Fuzzy Environment: Modeling and Algorithm
title_full_unstemmed Multiple-Criteria Evaluation of Thin-Walled Energy-Absorbing Structures of Train Under Fuzzy Environment: Modeling and Algorithm
title_sort multiple-criteria evaluation of thin-walled energy-absorbing structures of train under fuzzy environment: modeling and algorithm
publisher IEEE
publishDate 2021
url https://doaj.org/article/f06869c2b2414ae89fac8e7f27d11358
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AT taoli multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm
AT guoquanxie multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm
AT danqiwang multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm
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