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Development and Utilization of Structural Component Databases for Performance-Based Earthquake Engineering

机译:基于性能的地震工程中结构构件数据库的开发和利用

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Performance-based earthquake engineering necessitates the development of reliable nonlinear analysis models that are able to simulate the behavior of structures from the onset of damage through collapse. These models provide engineering demand parameters that are then related with damage measures and describe the damage of a building and its components. To accurately simulate dynamic response up to collapse of structures, it is important to model strength and stiffness deterioration of structural components in addition to P-Δ effects. These models require the use of large sets of experimental data for calibration of their deterioration parameters. This paper discusses the development of three databases on experimental data of steel W-beams, tubular hollow square steel columns, and RC beams. These databases are used for quantification of important parameters that affect the cyclic moment-rotation relationship at plastic hinge regions in steel and RC components. Emphasis is placed on the prediction of collapse of buildings caused by earthquakes. The utilization and importance of the three databases in the context of performance-based earthquake engineering is demonstrated through a case study of a 4-story steel building. Its seismic performance is successfully assessed through collapse.
机译:基于性能的地震工程需要开发可靠的非线性分析模型,该模型能够从损坏开始到坍塌模拟结构的行为。这些模型提供了工程需求参数,这些参数随后与破坏措施相关,并描述了建筑物及其组件的破坏。为了精确地模拟直至结构崩溃的动态响应,除了P-Δ效应外,对结构部件的强度和刚度退化进行建模也很重要。这些模型需要使用大量实验数据来校准其劣化参数。本文讨论了三个有关W型钢,空心方形钢管柱和RC梁的实验数据的数据库的开发。这些数据库用于量化重要参数,这些重要参数会影响钢和RC组件中塑料铰链区域的循环弯矩-旋转关系。重点放在地震引起的建筑物倒塌的预测上。通过基于4层钢结构建筑的案例研究,证明了在基于性能的地震工程中这三个数据库的利用率和重要性。通过倒塌可以成功评估其抗震性能。

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