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Damage identification based on vibration data

机译:基于振动数据的损伤识别

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Structural damage identification, localisation and quantification is receiving attention world over. Developments in sensor technology, modal testing brought out immense technical advancements in modal-based damage detection methods. Advances in modal-based damage detection methods over the last few decades produced new techniques for examining vibration data for identification of structural damage. In this paper, studies carried out using different approaches based on traditional model and advanced non-model-based methods, for damage identification have been presented. The damage identification studies are carried out based on the dynamic properties of the structure such as frequencies, mode shapes and their derivatives and also using advanced techniques such as neural networks and genetic algorithms. The effectiveness of these methods and usefulness of different parameters such as change in frequency, mode shape, modal curvature and strain energy for identification, localisation and quantification of damage are presented in the paper.
机译:结构性损伤的识别,定位和量化受到了全世界的关注。传感器技术的发展,模态测试带来了基于模态的损伤检测方法的巨大技术进步。在过去的几十年中基于模态的损伤检测方法的进步产生了检查振动数据以识别结构损伤的新技术。在本文中,提出了基于传统模型和高级非模型方法使用不同方法进行损伤识别的研究。损伤识别研究是基于结构的动态特性(例如频率,模式形状及其派生词)以及先进的技术(例如神经网络和遗传算法)进行的。本文介绍了这些方法的有效性以及不同参数(例如频率,模式形状,模式曲率和应变能的变化)对损伤的识别,定位和量化的有用性。

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