• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

多层双向波纹钢板结构的抗撞性分析

Crashworthiness analysis of a multi-layered bi-directionally corrugated steel plates structure.

作者信息

Che Quanwei, Xu Ping, Li Zhixiang, Ma Wen, Yao Shuguang

机构信息

Key Laboratory of Traffic Safety on Track (Central South University) Ministry of Education, Changsha, China.

Joint International Research Laboratory of Key Technology for Rail Traffic Safety, Central South University, Changsha, China.

出版信息

Sci Prog. 2020 Jul-Sep;103(3):36850420950158. doi: 10.1177/0036850420950158.

DOI:10.1177/0036850420950158
PMID:32873183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10451062/
Abstract

This paper proposed a multi-layered bi-directionally corrugated plates structure (BCPS) for energy absorption. Quasi-static compression experiments and finite element method (FEM) were used to investigate the crushing performance of the multi-layered BCPS. The results showed that the multi-layered BCPS had very small initial peak crushing force, and the fluctuation of force was very small during the whole compression process. These characteristics made the multi-layered BCPS more advantageous in crashworthiness than traditional structures. It was also found that the crushing performance of the multi-layered BCPS was very sensitive to the geometrical parameters, such as the number of the cellular structures along the width , the number of plates , and the ratio of width of small square to width of big square of the pyramid cell . Therefore, parameters optimization was carried out using the Multi-Objective Genetic Algorithm to find the best geometrical configuration of the structure. After optimization, the optimum parameters = 5, = 11 and = 0.38 was obtained. The specific energy absorption increased by 143.76% compared with the initial configuration.

摘要

本文提出了一种用于能量吸收的多层双向波纹板结构(BCPS)。采用准静态压缩实验和有限元方法(FEM)来研究多层BCPS的压缩性能。结果表明,多层BCPS具有非常小的初始峰值压缩力,并且在整个压缩过程中力的波动非常小。这些特性使得多层BCPS在防撞性能方面比传统结构更具优势。还发现多层BCPS的压缩性能对几何参数非常敏感,例如沿宽度方向的蜂窝结构数量、板的数量以及金字塔单元中小正方形宽度与大正方形宽度的比值。因此,使用多目标遗传算法进行参数优化以找到结构的最佳几何构型。优化后,得到了最佳参数 = 5、 = 11和 = 0.38。与初始构型相比,比能量吸收提高了143.76%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/97888cff8fd8/10.1177_0036850420950158-fig21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/7e41e3ebfdc7/10.1177_0036850420950158-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/546db83ae473/10.1177_0036850420950158-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/2a0198968783/10.1177_0036850420950158-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/e46d9673d030/10.1177_0036850420950158-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/ce28e59a046e/10.1177_0036850420950158-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/67fb6cc4e362/10.1177_0036850420950158-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/2edf437cc7ed/10.1177_0036850420950158-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/541186509984/10.1177_0036850420950158-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/8e261be0f5cf/10.1177_0036850420950158-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/0337a4630fba/10.1177_0036850420950158-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/de6fe1c18ce5/10.1177_0036850420950158-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/f858478e9003/10.1177_0036850420950158-fig12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/2337127cf9c2/10.1177_0036850420950158-fig13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/01e14d3ae51a/10.1177_0036850420950158-fig14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/dd21543a0759/10.1177_0036850420950158-fig15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/067b88221f9d/10.1177_0036850420950158-fig16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/19b3ad184d67/10.1177_0036850420950158-fig17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/98fa55d7991a/10.1177_0036850420950158-fig18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/4bc11157bc7f/10.1177_0036850420950158-fig19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/ce29885d3c22/10.1177_0036850420950158-fig20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/97888cff8fd8/10.1177_0036850420950158-fig21.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/7e41e3ebfdc7/10.1177_0036850420950158-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/546db83ae473/10.1177_0036850420950158-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/2a0198968783/10.1177_0036850420950158-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/e46d9673d030/10.1177_0036850420950158-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/ce28e59a046e/10.1177_0036850420950158-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/67fb6cc4e362/10.1177_0036850420950158-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/2edf437cc7ed/10.1177_0036850420950158-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/541186509984/10.1177_0036850420950158-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/8e261be0f5cf/10.1177_0036850420950158-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/0337a4630fba/10.1177_0036850420950158-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/de6fe1c18ce5/10.1177_0036850420950158-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/f858478e9003/10.1177_0036850420950158-fig12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/2337127cf9c2/10.1177_0036850420950158-fig13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/01e14d3ae51a/10.1177_0036850420950158-fig14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/dd21543a0759/10.1177_0036850420950158-fig15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/067b88221f9d/10.1177_0036850420950158-fig16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/19b3ad184d67/10.1177_0036850420950158-fig17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/98fa55d7991a/10.1177_0036850420950158-fig18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/4bc11157bc7f/10.1177_0036850420950158-fig19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/ce29885d3c22/10.1177_0036850420950158-fig20.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63bf/10451062/97888cff8fd8/10.1177_0036850420950158-fig21.jpg

相似文献

1
Crashworthiness analysis of a multi-layered bi-directionally corrugated steel plates structure.多层双向波纹钢板结构的抗撞性分析
Sci Prog. 2020 Jul-Sep;103(3):36850420950158. doi: 10.1177/0036850420950158.
2
Crashworthiness Performance and Multi-Objective Optimization of Bi-Directional Corrugated Tubes under Quasi-Static Axial Crushing.准静态轴向压缩下双向波纹管的耐撞性性能及多目标优化
Materials (Basel). 2024 Aug 9;17(16):3958. doi: 10.3390/ma17163958.
3
Crashworthiness Study of 3D Printed Lattice Reinforced Thin-Walled Tube Hybrid Structures.3D打印晶格增强薄壁管混合结构的耐撞性研究
Materials (Basel). 2023 Feb 24;16(5):1871. doi: 10.3390/ma16051871.
4
Numerical and Experimental Investigation of Quasi-Static Crushing Behaviors of Steel Tubular Structures.钢管结构准静态压缩行为的数值与实验研究
Materials (Basel). 2022 Mar 12;15(6):2107. doi: 10.3390/ma15062107.
5
Optimization of bio-inspired bi-directionally corrugated panel impact-resistance structures: Numerical simulation and selective laser melting process.仿生双向波纹板抗冲击结构的优化:数值模拟与选择性激光熔化工艺。
J Mech Behav Biomed Mater. 2019 Mar;91:59-67. doi: 10.1016/j.jmbbm.2018.11.026. Epub 2018 Nov 27.
6
The in-plane crashworthiness of multi-layer regularly arranged circular honeycombs.多层规则排列圆形蜂窝结构的面内抗撞性。
Sci Prog. 2020 Jan-Mar;103(1):36850419879028. doi: 10.1177/0036850419879028. Epub 2019 Oct 6.
7
A machine learning-based crashworthiness optimization for a novel pine cone-inspired multi-cell tubes under bending.基于机器学习的新型松果启发式多胞管在弯曲状态下的耐撞性优化
Heliyon. 2024 Sep 13;10(18):e37828. doi: 10.1016/j.heliyon.2024.e37828. eCollection 2024 Sep 30.
8
Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes.波纹锥形管准静态压缩的有限元模拟
J Vis Exp. 2023 Jan 6(191). doi: 10.3791/64708.
9
Crushing Behaviors and Energy Absorption Evaluation Methods of Hexagonal Steel Tubular Columns with Triangular Cells.带三角形孔格的六边形钢管柱的压溃行为及能量吸收评估方法
Materials (Basel). 2022 May 31;15(11):3910. doi: 10.3390/ma15113910.
10
Crashworthiness of Foam-Filled Cylindrical Sandwich Shells with Corrugated Cores.带波纹芯的泡沫填充圆柱形夹层壳的抗撞性
Materials (Basel). 2023 Oct 9;16(19):6605. doi: 10.3390/ma16196605.