...
首页> 外文期刊>Earthquake Engineering & Structural Dynamics >Damage assessment through structural identification of a three-story large-scale precast concrete structure
【24h】

Damage assessment through structural identification of a three-story large-scale precast concrete structure

机译:通过三层大型预制混凝土结构的结构鉴定进行损伤评估

获取原文
获取原文并翻译 | 示例
           

摘要

This paper investigates the damage assessment of a three-story half-scale precast concrete building resembling a parking garage through structural identification. The structure was tested under earthquake-type loading on the NEES large high-performance outdoor shake table at the University of California San Diego in 2008. The tests provide a unique opportunity to capture the dynamic performance of precast concrete structures built under realistic boundary conditions. The effective modal parameters of the structure at different damage states have been identified from white-noise and scaled earthquake test data with the assumption that the structure responded in a quasi-linear manner. Modal identification has been performed using the deterministic-stochastic subspace identification method based on the measured input-output data. The changes in the identified modal parameters are correlated to the observed damage. In general, the natural frequencies decrease, and the damping ratios increase as the structure is exposed to larger base excitations, indicating loss of stiffness, development/propagation of cracks, and failure in joint connections. The analysis of the modal rotations and curvatures allowed the localization of shear and flexural damages respectively and the checking of the effectiveness of repair actions.
机译:本文通过结构识别研究了类似停车场的三层半比例预制混凝土建筑的损伤评估。该结构于2008年在加利福尼亚大学圣地亚哥分校的NEES大型高性能户外振动台上经受了地震类型的载荷测试。这些测试提供了一个独特的机会来捕捉在现实边界条件下建造的预制混凝土结构的动态性能。在假定结构以准线性方式响应的前提下,已从白噪声和按比例缩放的地震测试数据确定了结构在不同破坏状态下的有效模态参数。基于确定的输入输出数据,使用确定性-随机子空间识别方法进行了模态识别。所识别的模态参数的变化与观察到的损伤相关。通常,当结构暴露于较大的基础激励下时,固有频率会降低,阻尼比会增加,这表明刚度降低,裂纹扩展/扩展以及接头连接失效。通过对模态旋转和曲率的分析,可以分别确定剪切损伤和弯曲损伤的位置,并检查修复作用的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号