Modeling uncertainty of specimens employing spines and force‐limiting connections tested at E‐defense shake table
Modeling uncertainty of specimens employing spines and force‐limiting connections tested at E‐defense shake table
复制标题
DOI：
10.1002/eqe.3976
复制
发表时间：
2023-07
影响因子：
4.5
通讯作者：
B. Astudillo;David Rivera;Jessica Duke;B. Simpson;L. Fahnestock;R. Sause;J. Ricles;M. Kurata;T. Okazaki;Y. Kawamata;Zhuoqi Tao;Yi Qie
中科院分区：
文献类型：
--
作者：
B. Astudillo;David Rivera;Jessica Duke;B. Simpson;L. Fahnestock;R. Sause;J. Ricles;M. Kurata;T. Okazaki;Y. Kawamata;Zhuoqi Tao;Yi Qie
鉴于日本和新西兰地震后观察到的重大破坏，建筑物中越来越多地使用增强型抗震系统和耗能装置。需要数值模型来估计这些系统的地震响应，用于抗震设计或评估。虽然已经有关于建模不确定性的研究，但选择对响应最重要的模型特征可能仍然模糊不清，特别是如果结构采用不太成熟的抗侧力系统和构件。在此，使用全局敏感性分析来解决在日本E-Defense振动台上进行全尺寸物理测试的具有弹性脊柱和力限制连接（FLC）的试件的建模不确定性。通过改变主要模型，根据预先确定的不确定性组开发几个次要模型，解决了模型类别和模型参数不确定性的建模不确定性。将峰值层间位移比和楼板加速度的数值估计值与使用置信区间和均方根误差的实验测试程序的结果进行比较。使用变异系数、方差、线性皮尔逊相关系数和Sobol指数等参数来直观地了解每个模型特征对工程需求估计的离散度的贡献。峰值楼层加速度被发现是更敏感的建模不确定性相比，层间位移比。脊柱与框架连接的假设显著影响了峰值楼板加速度的估计，这可能会影响增强抗侧力系统中脊柱和FLC的未来设计方法。
In light of the significant damage observed after earthquakes in Japan and New Zealand, enhanced performing seismic force‐resisting systems and energy dissipation devices are increasingly being utilized in buildings. Numerical models are needed to estimate the seismic response of these systems for seismic design or assessment. While there have been studies on modeling uncertainty, selecting the model features most important to response can remain ambiguous, especially if the structure employs less well‐established lateral force‐resisting systems and components. Herein, a global sensitivity analysis was used to address modeling uncertainty in specimens with elastic spines and force‐limiting connections (FLCs) physically tested at full‐scale at the E‐Defense shake table in Japan. Modeling uncertainty was addressed for both model class and model parameter uncertainty by varying primary models to develop several secondary models according to pre‐established uncertainty groups. Numerical estimates of peak story drift ratio and floor acceleration were compared to the results from the experimental testing program using confidence intervals and root‐mean‐square error. Metrics such as the coefficient of variation, variance, linear Pearson correlation coefficient, and Sobol index were used to gain intuition about each model feature's contribution to the dispersion in estimates of the engineering demands. Peak floor acceleration was found to be more sensitive to modeling uncertainty compared to story drift ratio. Assumptions for the spine‐to‐frame connection significantly impacted estimates of peak floor accelerations, which could influence future design methods for spines and FLC in enhanced lateral‐force resisting systems.