Vibration-based structural damage identification
Vibration-based structural damage identification
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DOI：
10.1098/rsta.2000.0717
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发表时间：
2001-01-15
期刊：
影响因子：
--
通讯作者：
Nix, DA
中科院分区：
文献类型：
--
作者：
Farrar, CR;Doebling, SW;Nix, DA
许多航空航天、民用和机械系统继续使用，尽管存在老化和相关的损害累积的可能性。因此，监测这些系统的结构健康状况的能力变得越来越重要。目前有多种高效的当地非破坏性评估工具可用。然而，基于振动特性变化的损伤识别是为数不多的全局监测结构变化的方法之一。首先概述了全球结构健康监测领域在过去30年中取得的进展。基于振动的损伤检测是用于这种监测的主要工具。接下来，基于振动的损伤检测过程将被描述为统计模式识别中的一个问题。这一过程由三个部分组成：(1)数据获取和清理；(2)特征选择和数据压缩；(3)统计模型开发。随着这项技术在大型实验室结构中的应用，目前关于特征选择和统计模型开发的研究将得到重视。
Many aerospace, civil and mechanical systems continue to be used despite ageing and the associated potential for damage accumulation. Therefore, the ability to monitor the structural health of these systems is becoming increasingly important. A wide variety of highly effective local non-destructive evaluation tools is available. However, damage identification based upon changes in vibration characteristics is one of the few methods that monitor changes in the structure on a global basis. A summary of developments in the field of global structural health monitoring that have taken place over the last thirty years is first presented. Vibration-based damage detection is a primary tool that is employed for this monitoring. Next, the process of vibration-based damage detection will be described as a problem in statistical pattern recognition. This process is composed of three portions: (i) data acquisition and cleansing; (ii) feature selection and data compression; and (iii) statistical model development. Current research regarding feature selection and statistical model development will be emphasized with the application of this technology to a large-scale laboratory structure.