首页> 外文期刊>Mechanical systems and signal processing >Structural damage identification of a cantilever beam using excitation force level control
【24h】

Structural damage identification of a cantilever beam using excitation force level control

机译:利用激振力水平控制识别悬臂梁的结构损伤

获取原文
获取原文并翻译 | 示例

摘要

Most studies in damage identification so far have concentrated on comparing modal parameters of a structure with an open crack with those of an intact structure. In this study, a new damage identification method for beam-like structures with a fatigue crack is proposed, which does not require comparative measurement on an intact structure but several measurements at different level of excitation forces on the cracked structure. The idea comes from the fact that dynamic behavior of a structure with a fatigue crack changes with the level of the excitation force. In other words, a beam with a real fatigue crack would behave as an intact beam at low excitation forces due to the crack closure. The 2nd spatial derivatives of frequency response functions along the longitudinal direction of a beam are used as the sensitive indicator of crack existence. Then, weighting function is employed in the averaging process in frequency domain to account for the modal participation of the differences between the dynamic behavior of beam with a fatigue crack at the low excitation and one at the high excitation. Subsequently, a damage index is defined such that the location and level of the crack may be identified. Finally, it is shown that damage identification method using the proposed damage index is very successful through experiment and finite element analysis.
机译:迄今为止,在损伤识别中的大多数研究都集中在比较具有开放裂缝的结构和完整结构的模态参数。在这项研究中,提出了一种新的疲劳裂纹梁状结构损伤识别方法,该方法不需要对完整结构进行对比测量,而需要对裂纹结构上不同水平的激励力进行多次测量。这个想法来自这样一个事实,即具有疲劳裂纹的结构的动态行为会随着激振力的大小而变化。换句话说,由于裂纹闭合,具有真实疲劳裂纹的梁在低激励力下将表现为完整的梁。沿梁纵向的频率响应函数的第二空间导数用作裂缝存在的敏感指标。然后,在频域的平均过程中采用加权函数,以解释在低激励下具有疲劳裂纹的梁的动态行为与在高激励下具有疲劳裂纹的梁的动态行为之间的差异的模态参与。随后,定义损坏指数,以便可以识别裂纹的位置和水平。最后,通过实验和有限元分析表明,采用提出的损伤指标的损伤识别方法是非常成功的。

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