单层复合材料的局部弹性应变分布特征

IF 0.4 Q4 ENGINEERING, MECHANICAL
R. S. Akhmetkhanov
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引用次数: 0

摘要

本文分析了复合材料中钢筋方向相对于循环载荷对热无损检测法测得的局部弹性应变分布非均质性的影响。在这项研究中,利用热弹性效应证明了评估测试对象中应力(应变)局部分布的可能性。热图的温度场与测试对象局部点的应力和应变呈线性关系。研究了环氧基纤维填料(玻璃纤维)不同排列方式复合材料层压板在循环载荷作用下的热像图。利用统计数据,计算变异系数,分析应变局部分布的差异。为了可视化应变水平,使用了聚类方法和层压板长度上温度分布值的平均值。得到了局部温度分布的数值特征,表明在零件加载方向增强材料时,局部温度分布更加均匀。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Features of Distributions of Local Elastic Strains in Single-Layer Composite Materials

Features of Distributions of Local Elastic Strains in Single-Layer Composite Materials

An analysis of the influence of the direction of reinforcement in a composite material relative to the cyclic load on the heterogeneity of the distribution of local elastic strains measured by the thermal method of nondestructive testing is presented. In this study, the possibility of assessing the local distribution of stresses (strains) in the test object is demonstrated using the thermoelastic effect. The temperature field of the thermogram depends linearly on the stresses and strains at local points of the test object. Thermograms of laminates made of composite material with different arrangements of fibrous filler (fiberglass) with an epoxy matrix under cyclic loading were studied. To analyze the differences in the local distribution of strains, statistical data were used and variation coefficients were calculated. To visualize the strain levels, the clustering method and averaging of the temperature distribution values over the length of the laminates were used. The numerical characteristics of local temperature distributions were obtained, which showed a more uniform distribution when reinforcing the material in the direction of loading of the part.

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来源期刊
CiteScore
0.80
自引率
33.30%
发文量
61
期刊介绍: Journal of Machinery Manufacture and Reliability  is devoted to advances in machine design; CAD/CAM; experimental mechanics of machines, machine life expectancy, and reliability studies; machine dynamics and kinematics; vibration, acoustics, and stress/strain; wear resistance engineering; real-time machine operation diagnostics; robotic systems; new materials and manufacturing processes, and other topics.
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