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Damage identification of full scale four-story steel building using multi-input multi-output models

机译:基于多输入多输出模型的全尺寸四层钢结构建筑损伤识别

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Evaluation of damage of structures after large earthquake is an important task for health assessment. Vibrations of buildings give us valuable information on it. Among the representative structural characteristics, natural frequencies provide the global information. However they are relatively simple, accurate to measure and easy to obtain. Besides, the changes in frequencies must be considered to identify a damage of structures. This study will consider the frequencies and mode shapes shifts with various levels of seismic excitations. The excitations are represented by different intensity levels of the 1995 Hyogoken Nanbu Earthquake that are obtained in JR - Takatori Station. The acceleration data of E-Defense tests on full scale 4-story steel building will be analyzed. These will allow us detecting and localizing structural damage as well as evaluating the structural performances. The changes in frequencies and mode shapes are achieved from multi-input multi-output (MIMO) models. Those will be compared so as to get the results with reasonable accuracy. The aim of this paper is to propose a damage identification method in order to give correlation between the models and real damage of a steel building using real-size shake table tests.
机译:大地震后建筑物的破坏评估是健康评估的重要任务。建筑物的振动为我们提供了宝贵的信息。在代表性的结构特征中,固有频率提供了全局信息。但是,它们相对简单,测量准确且易于获得。此外,必须考虑频率的变化以识别结构的损坏。这项研究将考虑在不同水平的地震激励作用下的频率和振型变化。激发是通过在JR-高鸟里站获得的1995年兵库县南部地震的不同强度级别来表示的。将对全尺寸4层钢结构建筑进行电子防御测试的加速度数据进行分析。这些将使我们能够检测和定位结构损伤以及评估结构性能。频率和模式形状的变化是通过多输入多输出(MIMO)模型实现的。将对它们进行比较,以便以合理的准确度获得结果。本文的目的是提出一种损伤识别方法,以便使用真实尺寸的振动台试验来给出模型与钢结构的真实损伤之间的相关性。

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