区域尺度非线性结构响应模拟：基于建筑特定Bouc-Wen模型

中文摘要 AI 辅助

区域地震评估通常按建筑原型分配结构属性，限制了其对建筑特定响应的表征能力。本研究开发了一个模块化的物理正则化框架，用于从地震输入-响应历史中识别等效单自由度Bouc-Wen模型。一个可微的前向求解器通过结合响应匹配与独立加权的动态平衡和滞回状态演化残差的目标函数，实现滞回参数和粘性阻尼的联合估计。在区域应用之前，使用合成系统和四层钢框架混合仿真数据评估了在未见输入下的识别和预测性能，结果显示相对于遗传算法，参数估计得到改进，而物理正则化分别提升了预测性能。随后，该框架应用于加利福尼亚州米尔皮塔斯市14,280栋建筑的数值基准，使用从较小地震的模拟响应中识别的模型来预测较大地震情景下的响应。在库存、地震动输入和损伤-损失模型保持不变的情况下，原型组合和响应信息组合产生了不同的损伤分数分布和显著不同的结构修复成本。对于矩震级$M_w=6.8$的地震情景，响应信息组合的平均结构修复成本几乎是原型组合的两倍，尽管平均损伤分数几乎相同。这些结果突显了结构模型分配对区域损伤和损失估计的影响，以及将建筑特定响应信息纳入区域评估的重要性。

英文摘要

Regional seismic assessments often assign structural properties by building archetype, limiting their representation of building-specific responses. This study develops a modular physics-regularized framework for identifying equivalent single-degree-of-freedom Bouc--Wen models from seismic input--response histories. A differentiable forward solver enables joint estimation of hysteretic parameters and viscous damping through an objective combining response matching with independently weighted dynamic-equilibrium and hysteretic state-evolution residuals. Before regional application, synthetic systems and four-story steel-frame hybrid simulation data are used to evaluate identification and prediction under unseen inputs, showing improved parameter estimation relative to a genetic algorithm and improved predictive performance with physics regularization, respectively. The framework is then applied to a numerical benchmark of 14,280 buildings in Milpitas, California, using models identified from simulated responses to a smaller earthquake to predict responses under larger scenarios. With the inventory, ground-motion inputs, and damage-and-loss models held fixed, archetypal and response-informed portfolios yield distinct damage-fraction distributions and substantially different structural repair costs. For the earthquake scenario with moment magnitude $M_w=6.8$, the response-informed portfolio yields a mean structural repair cost nearly twice that of the archetypal portfolio, despite nearly identical mean damage fractions. These results highlight the influence of structural model assignment on regional damage and loss estimates and the importance of incorporating building-specific response information into regional assessment.

发表机构

• University of California, Berkeley（加州大学伯克利分校）
• Yonsei University（延世大学）

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