...
首页> 外文期刊>Structural Engineering and Mechanics >Output-only structural damage detection under multiple unknown white noise excitations
【24h】

Output-only structural damage detection under multiple unknown white noise excitations

机译:在多个未知的白噪声激发下的产量仅结构损伤检测

获取原文
获取原文并翻译 | 示例

摘要

Most of the existing output-only damage detection methods require the number of sensors should be larger than the number of unknown excitation force, and the force location should be available. This paper presents a novel output-only damage detection method without these requirements. The proposed method is based on the correlation function of acceleration responses. When the structure is under white noise excitations (or ambient excitations), the correlation function of acceleration responses can be treated as free vibration responses with unknown initial conditions. The unknown structural parameters and initial conditions can be simultaneously identified by minimizing the difference between the measured and calculated correlation functions. The unknown initial conditions are identified with state space method and the unknown structural parameters are updated with sensitivity method. Numerical studies of a 2D truss and a five-bay 3D frame structure are conducted to demonstrate the accuracy, effectiveness, and robustness of the proposed method. Experimental studies on an eight-floor steel frame are further carried out. Results show that the proposed method is not only insensitive to environmental noise but also applicable when the number of sensors is less than that of unknown excitations. Also, the proposed method can be used for damage detection when the force location is unknown.
机译:大多数现有的输出损坏检测方法需要传感器的数量应大于未知激励力的数量,并且应使用力位置。本文提出了一种新的输出损坏检测方法,没有这些要求。该方法基于加速响应的相关函数。当结构处于白色噪声激发(或环境激发)时,加速度响应的相关函数可以被视为具有未知初始条件的自由振动响应。通过最小化测量和计算的相关函数之间的差异,可以同时识别未知的结构参数和初始条件。用状态空间方法识别未知的初始条件,并且通过灵敏度方法更新未知的结构参数。进行了2D桁架的数值研究和五托架3D框架结构,以证明所提出的方法的准确性,有效性和鲁棒性。进一步进行了八层钢架的实验研究。结果表明,该方法不仅对环境噪音不敏感,而且在传感器的数量小于未知激励的情况下也适用。此外,当力位置未知时,所提出的方法可用于损坏检测。

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