• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Key Engineering Materials >Damage Detection on Automotive Components Using Variations in Modal Parameters
【24h】

Damage Detection on Automotive Components Using Variations in Modal Parameters

机译：利用模态参数变化检测汽车零部件的损伤

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The authors present a methodology of damage detection based on variations in modal properties. The basic criterion is its simplicity of operation using widely available technologies. The methodology of damage detection through the observation of modal properties envisages continuous monitoring and belongs to the category of non-destructive methods (NDT). The parameters of natural frequency, vibration mode and modal damping are strictly linked to the characteristics of a structure, i.e. they depend on its geometry and chemical-physical characteristics, and on constraint and/or environmental conditions. The method, which presupposes a linear behaviour of the system under investigation, is used to investigate damage in the upright suspension of a car schematised by an FE model. This was validated experimentally through EMA. The FE model was used to simulate different levels and positions of damage, chosen on the basis of the results of a structural analysis which identified the most stressed zones. From the FRF of the damaged system, the natural frequencies which presented the greatest variations were selected. From the locations of vibration nodes and antinodes of the respective eigenvectors, it was possible to identify and localise the damage in a simple and rapid way. A validation of the method by EMA of a cracked specimen is also made.
机译：作者提出了一种基于模态特性变化的损伤检测方法。基本标准是使用广泛可用的技术来简化操作。通过观察模态特性来进行损害检测的方法需要进行连续监控，并且属于非破坏性方法（NDT）的类别。固有频率，振动模式和模态阻尼的参数与结构的特性严格相关，即它们取决于结构的几何形状和化学物理特性以及约束条件和/或环境条件。该方法以所研究系统的线性行为为前提，该方法用于研究由有限元模型示意的汽车在垂直悬架中的损坏。通过EMA进行了实验验证。有限元模型用于模拟不同程度和不同程度的损坏，这些损坏是根据确定了最大应力区域的结构分析结果选择的。从受损系统的FRF中，选择表现出最大变化的固有频率。从各个特征向量的振动节点和波腹的位置，可以以简单而快速的方式识别和定位损伤。还通过EMA验证了破裂试样的方法。

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