...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mechanical systems and signal processing >Self-diagnosis of smart structures based on dynamical properties
【24h】

Self-diagnosis of smart structures based on dynamical properties

机译：基于动力学特性的智能结构自诊断

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

When we talk about "smart structures" we can think about different properties and capabilities which make a structure "intelligent" in a certain sense. Originally, the expression "smart" was used in the context that a structure can react and adapt to certain environmental conditions, such as change of shape, compensation of deformations, active vibration damping, etc. Over the last year, the expression "smart" has been extended to the field of structural health monitoring (SHM), where sensor networks, actuators and computational capabilities are used to enable a structure to perform a self-diagnosis with the goal that this structure can release early warnings about a critical health state, locate and classify damage or even to forecast the remaining lifetime. This paper intends to give an overview and point out recent developments of vibration-based methods for SHM. All these methods have in common that a structural change due to a damage results in a more or less significant change of the dynamic behavior. For the diagnosis an inverse problem has to be solved. We discuss the use of modal information as well as the direct use of forced and ambient vibrations in the time and frequency domain. Examples from civil and aerospace engineering as well as offshore wind energy plants show the applicability of these methods.
机译：当我们谈论“智能结构”时，我们会想到使属性在某种意义上“智能”的不同属性和功能。最初，“智能”一词是在结构可以响应并适应某些环境条件的情况下使用的，例如形状变化，变形补偿，主动减振等。去年，“智能”一词已扩展到结构健康监控（SHM）领域，其中传感器网络，执行器和计算功能用于使结构能够执行自我诊断，目标是该结构可以发布有关关键健康状态的早期警告，定位并分类损坏，甚至预测剩余寿命。本文旨在概述并指出基于振动的SHM方法的最新发展。所有这些方法的共同点是，由于损坏而导致的结构变化或多或少会引起动态行为的变化。为了诊断，必须解决反问题。我们讨论了模态信息的使用以及在时域和频域中直接使用强制振动和环境振动。土木和航空工程以及海上风力发电厂的实例表明了这些方法的适用性。

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