UHPC 填充双层钢管柱在受到横向冲击后的残余行为和损伤评估

IF 5.7 1区 工程技术 Q1 ENGINEERING, CIVIL Thin-Walled Structures Pub Date : 2024-10-19 DOI:10.1016/j.tws.2024.112602
Weiqiang Wang , Zhilong Xiong , Yang Yu , Da Chen , Chengqing Wu
{"title":"UHPC 填充双层钢管柱在受到横向冲击后的残余行为和损伤评估","authors":"Weiqiang Wang ,&nbsp;Zhilong Xiong ,&nbsp;Yang Yu ,&nbsp;Da Chen ,&nbsp;Chengqing Wu","doi":"10.1016/j.tws.2024.112602","DOIUrl":null,"url":null,"abstract":"<div><div>Ultra-high performance concrete (UHPC)-filled double-skin steel tubular (DST) column has great potential to be used in the protective structures. Although its lateral impact behaviour has been well understood, the residual behaviour after lateral impact remains unexplored. As a result, this study extensively investigated the residual behaviour and damage assessment of UHPC-filled DST columns after lateral impact. Firstly, a set of six DST columns were designed and tested under lateral impact, followed by static axial compression. In addition, two intact columns were subjected to static axial compression for comparative analysis. Secondly, the refined finite element models were developed and validated using the current test data, and the impact resistant mechanism of UHPC-filled DST columns with different impact locations was analysed. Thirdly, the suitability of different damage indexes for the damage assessment of impacted UHPC-filled DST columns was evaluated. Two damage indexes, the ratio of mid-height deflection to column height (<span><math><msub><mi>R</mi><mn>1</mn></msub></math></span>), and the ratio of local deflection to the column diameter (<span><math><msub><mi>R</mi><mn>2</mn></msub></math></span>), were proposed for the DST columns. Finally, two types of machine learning-based models were developed to predict the impact damage of UHPC-filled DST columns. The prediction models were interpreted locally and globally using the additive feature attribution method Shapley Additive Explanation (SHAP). The machine learning-based prediction models can rapidly evaluate the damage extent of impacted UHPC-filled DST column, which hold great significance for the selection of strengthening and retrofitting schemes.</div></div>","PeriodicalId":49435,"journal":{"name":"Thin-Walled Structures","volume":"205 ","pages":"Article 112602"},"PeriodicalIF":5.7000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Residual behaviour and damage assessment of UHPC-filled double-skin steel tubular columns after lateral impact\",\"authors\":\"Weiqiang Wang ,&nbsp;Zhilong Xiong ,&nbsp;Yang Yu ,&nbsp;Da Chen ,&nbsp;Chengqing Wu\",\"doi\":\"10.1016/j.tws.2024.112602\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Ultra-high performance concrete (UHPC)-filled double-skin steel tubular (DST) column has great potential to be used in the protective structures. Although its lateral impact behaviour has been well understood, the residual behaviour after lateral impact remains unexplored. As a result, this study extensively investigated the residual behaviour and damage assessment of UHPC-filled DST columns after lateral impact. Firstly, a set of six DST columns were designed and tested under lateral impact, followed by static axial compression. In addition, two intact columns were subjected to static axial compression for comparative analysis. Secondly, the refined finite element models were developed and validated using the current test data, and the impact resistant mechanism of UHPC-filled DST columns with different impact locations was analysed. Thirdly, the suitability of different damage indexes for the damage assessment of impacted UHPC-filled DST columns was evaluated. Two damage indexes, the ratio of mid-height deflection to column height (<span><math><msub><mi>R</mi><mn>1</mn></msub></math></span>), and the ratio of local deflection to the column diameter (<span><math><msub><mi>R</mi><mn>2</mn></msub></math></span>), were proposed for the DST columns. Finally, two types of machine learning-based models were developed to predict the impact damage of UHPC-filled DST columns. The prediction models were interpreted locally and globally using the additive feature attribution method Shapley Additive Explanation (SHAP). The machine learning-based prediction models can rapidly evaluate the damage extent of impacted UHPC-filled DST column, which hold great significance for the selection of strengthening and retrofitting schemes.</div></div>\",\"PeriodicalId\":49435,\"journal\":{\"name\":\"Thin-Walled Structures\",\"volume\":\"205 \",\"pages\":\"Article 112602\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thin-Walled Structures\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263823124010425\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thin-Walled Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263823124010425","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

摘要

超高性能混凝土(UHPC)填充双层钢管(DST)柱在防护结构中的应用潜力巨大。虽然人们对其横向冲击行为已经有了很好的了解,但其横向冲击后的残余行为仍未得到研究。因此,本研究广泛研究了 UHPC 填充 DST 柱在横向冲击后的残余行为和损伤评估。首先,设计了一组六根 DST 柱,并对其进行了横向冲击测试,然后进行了静态轴向压缩测试。此外,还对两根完好的柱子进行了静态轴向压缩对比分析。其次,利用当前的测试数据开发并验证了完善的有限元模型,并分析了不同冲击位置的 UHPC 填充 DST 柱的抗冲击机理。第三,评估了不同损伤指数对冲击 UHPC 填充 DST 柱损伤评估的适用性。针对 DST 柱提出了两个损坏指数,即中间高度挠度与柱高之比(R1)和局部挠度与柱直径之比(R2)。最后,开发了两种基于机器学习的模型来预测 UHPC 填充 DST 柱的冲击破坏。这些预测模型采用夏普利相加解释法(SHAP)进行局部和全局解释。基于机器学习的预测模型可以快速评估受冲击的 UHPC 填充 DST 柱的损坏程度,对加固和改造方案的选择具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Residual behaviour and damage assessment of UHPC-filled double-skin steel tubular columns after lateral impact
Ultra-high performance concrete (UHPC)-filled double-skin steel tubular (DST) column has great potential to be used in the protective structures. Although its lateral impact behaviour has been well understood, the residual behaviour after lateral impact remains unexplored. As a result, this study extensively investigated the residual behaviour and damage assessment of UHPC-filled DST columns after lateral impact. Firstly, a set of six DST columns were designed and tested under lateral impact, followed by static axial compression. In addition, two intact columns were subjected to static axial compression for comparative analysis. Secondly, the refined finite element models were developed and validated using the current test data, and the impact resistant mechanism of UHPC-filled DST columns with different impact locations was analysed. Thirdly, the suitability of different damage indexes for the damage assessment of impacted UHPC-filled DST columns was evaluated. Two damage indexes, the ratio of mid-height deflection to column height (R1), and the ratio of local deflection to the column diameter (R2), were proposed for the DST columns. Finally, two types of machine learning-based models were developed to predict the impact damage of UHPC-filled DST columns. The prediction models were interpreted locally and globally using the additive feature attribution method Shapley Additive Explanation (SHAP). The machine learning-based prediction models can rapidly evaluate the damage extent of impacted UHPC-filled DST column, which hold great significance for the selection of strengthening and retrofitting schemes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Thin-Walled Structures
Thin-Walled Structures 工程技术-工程:土木
CiteScore
9.60
自引率
20.30%
发文量
801
审稿时长
66 days
期刊介绍: Thin-walled structures comprises an important and growing proportion of engineering construction with areas of application becoming increasingly diverse, ranging from aircraft, bridges, ships and oil rigs to storage vessels, industrial buildings and warehouses. Many factors, including cost and weight economy, new materials and processes and the growth of powerful methods of analysis have contributed to this growth, and led to the need for a journal which concentrates specifically on structures in which problems arise due to the thinness of the walls. This field includes cold– formed sections, plate and shell structures, reinforced plastics structures and aluminium structures, and is of importance in many branches of engineering. The primary criterion for consideration of papers in Thin–Walled Structures is that they must be concerned with thin–walled structures or the basic problems inherent in thin–walled structures. Provided this criterion is satisfied no restriction is placed on the type of construction, material or field of application. Papers on theory, experiment, design, etc., are published and it is expected that many papers will contain aspects of all three.
期刊最新文献
Editorial Board Comparative study on collapse behavior of modular steel buildings: Experiment and analysis Local-global buckling interaction in steel I-beams—A European design proposal for the case of fire Impact resistance performance of 3D woven TZ800H plates with different textile architecture Integrated optimization of ply number, layer thickness, and fiber angle for variable-stiffness composites using dynamic multi-fidelity surrogate model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1