Integrated algorithm for identifying failure modes and assessing reliability of concrete-filled steel tubes under lateral impact

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-03-11 DOI:10.1016/j.autcon.2025.106118

Nan Xu, Yanhui Liu

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引用次数: 0

Abstract

Concrete-filled steel tube (CFST) columns are susceptible to transverse impact and catastrophic fracture failure might trigger progressive collapse of entire buildings. This paper aims to predict CFST failure modes (bending deformation, crack and fracture) and conduct reliability evaluation implementing intelligent algorithms. Fixed-supported CFST impact samples were gathered, which contain 10 inputs and 3 outputs (crack deflection, fracture deflection and maximum deflection). Results indicated that support vector regression (SVR) predicted three outputs optimally adopting RBF kernel function, and osprey optimization algorithm (OOA) optimizing SVR achieved more superior prediction than particle swarm optimization. Three output variables were utilized to identify CFST failure modes, OOA-SVR(R) possessed 97.70 % accuracy for 87 test samples. Monte Carlo sampling was conducted to estimate fracture vulnerability curves considering random distribution of input variables. Finally, a performance-based CFST design procedure was proposed, declining computational requirements and strengthening user-friendliness in contrast to conventional approaches.

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横向冲击下钢管混凝土失效模式识别与可靠性评估的综合算法

钢管混凝土柱易受横向冲击，突发性断裂破坏可能引发整个建筑物的逐步倒塌。本文旨在利用智能算法预测CFST的破坏模式（弯曲变形、裂纹和断裂）并进行可靠性评估。收集固定支承CFST冲击样本，包含10个输入和3个输出（裂纹挠度、断裂挠度和最大挠度）。结果表明，支持向量回归（SVR）采用RBF核函数对3个输出进行了最优预测，鱼鹰优化算法（OOA）优化的支持向量回归（SVR）的预测效果优于粒子群优化。利用3个输出变量对CFST的失效模式进行识别，OOA-SVR(R)对87个试验样本的识别准确率达到97.70%。考虑输入变量的随机分布，采用蒙特卡罗采样方法估计裂缝易损性曲线。最后，提出了一种基于性能的CFST设计方法，与传统方法相比，该方法降低了计算需求并增强了用户友好性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.