Correspondence *Adam Zsarnóczay, Email: adamzs@stanford.edu Abstract This research is part of a larger effort to better understand and quantify the epistemic model uncertainty in dynamic response-history simulations. This paper focuses on how calibration methods influence model uncertainty. Structural models in earthquake engineering are typically built up from independently calibrated component models. During component calibration, engineers often use experimental component response under quasi-static loading to find parameters that minimize the error in structural response under dynamic loading. Since the calibration and the simulation environments are different, if a calibration method wants to provide optimal parameters for simulation, it has to focus on features of the component response that are important from the perspective of global structural behavior. Relevance describes how efficiently a calibration method can focus on such important features. A framework of virtual experiments and a methodology is proposed to evaluate the influence of calibration relevance on model error in simulations. The evaluation is demonstrated through a case study with Buckling Restrained Braced Frames. Two calibration methods are compared in the case study. The first, highly relevant calibration method is based on stiffness and hardening characteristics of braces; the second, less relevant calibration method is based on the axial force response of braces. The highly relevant calibration method consistently identified the preferable parameter sets. In contrast, the less relevant calibration method showed poor to mediocre performance. The framework and methodology presented here are not limited to BRBF. They have the potential to facilitate and systematize the improvement of component-model calibration methods for any structural system.

中文翻译：

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在响应历史分析中使用模型误差来评估组件校准方法

通信 *Adam Zsarnóczay，电子邮件：adamzs@stanford.edu 摘要 这项研究是更好地理解和量化动态响应历史模拟中认知模型不确定性的更大努力的一部分。本文重点讨论校准方法如何影响模型不确定性。地震工程中的结构模型通常由独立校准的组件模型构建。在组件校准过程中，工程师经常使用准静态加载下的实验组件响应来寻找使动态加载下结构响应误差最小的参数。由于标定和仿真环境不同，如果标定方法要为仿真提供最优参数，它必须关注从全局结构行为的角度来看很重要的组件响应的特征。相关性描述了校准方法可以如何有效地关注这些重要特征。提出了一种虚拟实验框架和一种方法来评估校准相关性对模拟中模型误差的影响。该评估通过使用屈曲约束支撑框架的案例研究来证明。在案例研究中比较了两种校准方法。第一种高度相关的校准方法是基于支架的刚度和硬化特性；第二种不太相关的校准方法是基于支撑的轴向力响应。高度相关的校准方法始终如一地确定了优选的参数集。相比之下，不太相关的校准方法表现出差到中等的性能。此处介绍的框架和方法不仅限于 BRBF。它们有可能促进和系统化任何结构系统的组件模型校准方法的改进。