Hybrid data-driven and physics-based simulation technique for seismic response evaluation of steel buckling-restrained braced frames considering brace fracture

IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL
Ali Sadrara, Siamak Epackachi, Ali Imanpour, Mohammad Zaman Kabir
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引用次数: 0

Abstract

This paper proposes a hybrid data-driven and physics-based simulation technique for seismic response evaluation of steel Buckling-Restrained Braced Frames (BRBFs) considering brace fracture. Buckling-Restrained Brace (BRB) fracture is represented by cumulative plastic deformation capacity. A dataset, consisting of 95 past BRB laboratory tests and 120 simulated BRB responses generated using the finite element method, is first developed. An Artificial Neural Network-based (ANN) predictive model is then trained using the training dataset to estimate the cumulative plastic deformation of BRBs. The prediction capability of the ANN-based predictive model is validated using the training dataset and an existing regression-based predictive model. In the second part of the paper, an hybrid simulation technique combining the data-driven model and physics-based numerical modeling is presented to conduct the nonlinear time history analysis, followed by 1) validation against a full-scale BRBF testing and 2) demonstration of the proposed simulation technique using a six-story BRBF. The results confirm that the proposed predictive model can predict the BRB fracture with sufficient accuracy. Furthermore, the hybrid data-driven physics-based simulation technique can be used as a powerful tool for dynamic analysis of BRBFs considering BRB fracture.

考虑支撑断裂的钢屈曲约束支撑框架地震响应评估的数据驱动和物理模拟混合技术
本文提出了一种基于数据和物理的混合模拟技术,用于考虑支撑断裂的钢制屈曲约束支撑框架(BRBF)的地震响应评估。屈曲约束支撑(BRB)断裂由累积塑性变形能力表示。首先开发了一个数据集,该数据集由 95 个过去的 BRB 实验室测试和使用有限元方法生成的 120 个模拟 BRB 响应组成。然后使用训练数据集训练基于人工神经网络(ANN)的预测模型,以估计 BRB 的累积塑性变形。利用训练数据集和现有的基于回归的预测模型,对基于人工神经网络的预测模型的预测能力进行了验证。论文的第二部分介绍了一种混合模拟技术,该技术结合了数据驱动模型和基于物理的数值模型,用于进行非线性时间历程分析,随后进行了 1) 针对全尺寸 BRBF 测试的验证,以及 2) 使用六层 BRBF 演示所建议的模拟技术。结果证实,所提出的预测模型可以足够准确地预测 BRB 断裂。此外,基于数据驱动的混合物理模拟技术可作为考虑 BRB 断裂的 BRBF 动态分析的有力工具。
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来源期刊
Earthquake Engineering & Structural Dynamics
Earthquake Engineering & Structural Dynamics 工程技术-工程:地质
CiteScore
7.20
自引率
13.30%
发文量
180
审稿时长
4.8 months
期刊介绍: Earthquake Engineering and Structural Dynamics provides a forum for the publication of papers on several aspects of engineering related to earthquakes. The problems in this field, and their solutions, are international in character and require knowledge of several traditional disciplines; the Journal will reflect this. Papers that may be relevant but do not emphasize earthquake engineering and related structural dynamics are not suitable for the Journal. Relevant topics include the following: ground motions for analysis and design geotechnical earthquake engineering probabilistic and deterministic methods of dynamic analysis experimental behaviour of structures seismic protective systems system identification risk assessment seismic code requirements methods for earthquake-resistant design and retrofit of structures.
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