腐蚀圆形 RC 桥柱的概率曲率极限状态:数据驱动模型及其在寿命期地震脆性分析中的应用

IF 3.1 2区 工程技术 Q2 ENGINEERING, CIVIL
Bo Xu, Xiaowei Wang, Chuang-Sheng Walter Yang, Yue Li
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引用次数: 0

摘要

在老化钢筋混凝土(RC)桥梁的地震脆性(包括需求模型和承载力模型)中,钢筋腐蚀已被认为是一个影响因素。就承载力模型而言,考虑老化效应的精确应用预测工具尚待完善。目前的做法通常是通过数值分析来获得时变承载力模型,这种方法非常耗时,尤其是在考虑到多源结构和环境不确定性的情况下,有时甚至会出现计算不收敛的问题。为了解决这些问题,本研究利用经过严格优化的人工神经网络架构开发了数据驱动模型,用于快速估算具有挠曲破坏模式的腐蚀圆形 RC 桥柱的概率曲率承载力。通过实验验证的弯矩-曲率分析,建立了广泛的多级曲率极限状态(即轻微、中等、严重和完全)数据库。中度极限状态的新阈值是根据核心混凝土而不是覆盖层混凝土的应变来定义的,以考虑到覆盖层可能受到剧烈腐蚀的全面侵蚀。数据驱动的概率承载力模型被应用于典型公路桥梁的寿命地震脆性评估,其中 1.0 秒时的频谱加速度 (Sa-10)、峰值地速 (PGV) 和 Housner 烈度 (HI) 首次被一致认定为具有不同程度老化效应的 RC 柱概率需求建模的最佳烈度度量。为便于应用,数据驱动的概率承载力模型的数据库和代码可在 https://bit.ly/3uAa8EY 上访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic curvature limit states of corroded circular RC bridge columns: Data-driven models and application to lifetime seismic fragility analyses
Reinforcement corrosion has been recognized as an influential factor in the seismic fragility, both demand and capacity models, of aging reinforced concrete (RC) bridges. For capacity models, accurate and applied prediction tools accounting for aging effects are yet to be well established. Current practices usually perform numerical analyses to obtain time-variant capacity models, which are time-consuming particularly when multi-source structural and environmental uncertainties are considered and sometimes even suffer computational non-convergence. To address these issues, this study leverages a rigorously optimized artificial neural network architecture to develop data-driven models for rapid estimates of probabilistic curvature capacity of corroded circular RC bridge columns with flexural failure modes. An extensive database of multi-level curvature limit states (i.e. slight, moderate, severe, and complete) is created through experimentally validated moment–curvature analyses. A new threshold for the moderate limit state is defined based on the strain of core concrete, rather than cover concrete, to account for the potential full erosion of the cover with drastic corrosion. The data-driven probabilistic capacity models are applied to aid the lifetime seismic fragility assessment of a typical highway bridge, where the spectral acceleration at 1.0 s (Sa-10), peak ground velocity (PGV), and Housner intensity (HI) are found consistently, for the first time, as optimal intensity measures for probabilistic demand modeling of RC columns with different extents of aging effects. For the ease of application, the database and code for the data-driven probabilistic capacity models are accessible at https://bit.ly/3uAa8EY .
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来源期刊
Earthquake Spectra
Earthquake Spectra 工程技术-工程:地质
CiteScore
8.40
自引率
12.00%
发文量
88
审稿时长
6-12 weeks
期刊介绍: Earthquake Spectra, the professional peer-reviewed journal of the Earthquake Engineering Research Institute (EERI), serves as the publication of record for the development of earthquake engineering practice, earthquake codes and regulations, earthquake public policy, and earthquake investigation reports. The journal is published quarterly in both printed and online editions in February, May, August, and November, with additional special edition issues. EERI established Earthquake Spectra with the purpose of improving the practice of earthquake hazards mitigation, preparedness, and recovery — serving the informational needs of the diverse professionals engaged in earthquake risk reduction: civil, geotechnical, mechanical, and structural engineers; geologists, seismologists, and other earth scientists; architects and city planners; public officials; social scientists; and researchers.
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