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Using model error in response history analysis to evaluate component calibration methods

机译：在响应历史分析中使用模型误差来评估组件校准方法

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摘要

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 (BRBF). 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.
机译：这项研究是在更好地理解和量化动态响应历史模拟中的认知模型不确定性的更大努力的一部分。本文着重于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建立。在组件校准期间，工程师经常使用准静态负载下的实验组件响应来找到参数，以使动态负载下的结构响应误差最小化。由于校准和仿真环境不同，因此，如果校准方法要提供用于仿真的最佳参数，则它必须关注组件响应的特征，这些特征从全局结构行为的角度来看很重要。相关性描述了校准方法可以有效地关注这些重要功能的效率。提出了虚拟实验框架和方法，以评估校准相关性对仿真中模型误差的影响。通过屈曲约束支撑框架（BRBF）的案例研究证明了该评估。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牙套的刚度和硬化特性。第二种不太相关的校准方法是基于牙套的轴向力响应。高度相关的校准方法一致地确定了优选的参数集。相反，不太相关的校准方法显示出较差至中等的性能。此处介绍的框架和方法不仅限于BRBF。它们具有促进和系统化任何结构系统的组件模型校准方法的潜力。

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