Identification of Multiple Cracks on Beam using Fuzzy Logic

P. Govardhan, Prafulla Kalapatapu, Venkata Dilip Kumar Pasupuleti
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引用次数: 1

Abstract

Presence of damage in material will affect the structural behavior and this effect can be identified by vibration parameters such as frequency, mode shape and damping. Identification of damage using vibration parameters is gaining its importance in scientific and engineering community. In few cases, change in frequencies and mode shapes are very small, especially when the damage is very minor. In such cases it is very difficult to identify by using basic comparison methods. And identifying minor damages at the initiation stage of will stop the further propagation and also increase the service life of the structure. This study demonstrates the identification of multiple damages (4 cracks) on steel cantilever beam with help of vibration parameters. These parameters particularly have first three natural frequencies and are calculated by numerical approach (ANSYS 18.1) for all possible damage cases (Forward method) and train the fuzzy logic to predict location and severity of the damage (Invers method).
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基于模糊逻辑的梁上多裂纹识别
材料的损伤会影响结构的性能,这种影响可以通过振动参数如频率、模态振型和阻尼来识别。利用振动参数识别损伤在科学界和工程界越来越受到重视。在少数情况下,频率和模态振型的变化非常小,特别是当损伤非常小的时候。在这种情况下,很难用基本的比较方法来识别。在初始阶段识别微小损伤,可以有效地阻止损伤的进一步传播,提高结构的使用寿命。本文研究了利用振动参数识别钢悬臂梁多重损伤(4条裂纹)的方法。这些参数特别具有前三个固有频率,并通过数值方法(ANSYS 18.1)对所有可能的损伤情况(Forward法)进行计算,并训练模糊逻辑来预测损伤的位置和严重程度(Invers法)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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