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Damage Quantification using Smart Patch System for. Hot SpotMonitoring Sourav

机译:使用智能补丁系统损坏量化。热门宣传俄罗斯州

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Fatigue crack detection and quantification is by far the most challenging task in Structural Health Monitoring (SHM). In the past decade numerous techniques were developed to detect and quantify fatigue damages. Fatigue loading leads to fatigue crack development in metals and delamination growth in composites. It has been found that different techniques are suitable for different damage development. Hence, the selection of the appropriate analysis methodologies pertaining to different problems is crucial. At the same time there has been an effort to reduce the power requirement for data analysis. This in turn triggered the idea of developing low power damage detection algorithms. In this paper a comparison between different damage detection techniques are presented and problems with different materials and structural geometries are considered. Three damage detection techniques were selected and evaluated.
机译:疲劳裂纹检测和量化是迄今为止结构健康监测(SHM)中最具挑战性的任务。在过去的十年中,开发了许多技术来检测和量化疲劳损坏。疲劳载荷导致金属和复合材料中分层生长的疲劳裂纹发育。已经发现,不同的技术适用于不同的损伤发展。因此,选择与不同问题有关的适当分析方法是至关重要的。与此同时,有努力降低数据分析的功率要求。这反过来触发了开发低功率损伤检测算法的想法。在本文中,呈现了不同损伤检测技术的比较,并且考虑了不同材料和结构几何形状的问题。选择并评估了三种损伤检测技术。

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