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...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f06869c2b2414ae89fac8e7f27d11358 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:f06869c2b2414ae89fac8e7f27d11358 |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT hongliangli multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm AT jiangjieqiu multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm AT taoli multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm AT guoquanxie multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm AT danqiwang multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm AT wenjiewang multiplecriteriaevaluationofthinwalledenergyabsorbingstructuresoftrainunderfuzzyenvironmentmodelingandalgorithm |
_version_ |
1718425259197071360 |