用非破坏性振动技术对材料力学性能进行分类

Intan Maisarah Abd Rahim, F. Mat, S. Yaacob, R. Siregar
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引用次数: 1

摘要

本研究旨在开发一套材料的无损检测系统,以确定材料的机械性能。研究重点是利用振动技术对材料力学性能进行试验和测试。通过对材料的振动分析和测试,可以确定结构的固有频率、阻尼比和模态振型。然而,在本研究中,我们只考虑材料的固有频率作为训练所需的输入数据。作为研究的延伸,我们开发了k-最近邻分类器,作为一个根据被测材料的力学性能对其进行分类的系统。分类系统的结果表明,k- nn在k值为1的情况下,准确率达到99.79783%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The classification of material mechanical properties using non-destructive vibration technique
This study is to develop a system of a non-destructive testing on the material to define the mechanical properties of material. The study focused on experimental and testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural frequencies, the damping ratio and mode shapes of the structure. However, in this study, we only considering the natural frequencies of the material as the input data needed for training. As an extension for the study, k-Nearest Neighbor classifier is developed to work as a system to classify the materials tested according to their mechanical properties. The result from the classification system shows that k-NN is giving the accuracy of 99.79783 % with the k value of 1.
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