纤维增强复合材料致密拉伸试样动态断裂韧性试验与数值模拟分析

IF 2.2 3区工程技术 Q2 MECHANICS

Archive of Applied Mechanics Pub Date : 2023-03-18 DOI:10.1007/s00419-023-02394-4

Guangping Zou, Zhijun Zhang, Zhongliang Chang, Bingqiang Li

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引用次数: 0

摘要

本文以玻璃纤维增强复合材料的致密拉伸试样为研究对象。采用霍普金森拉伸杆实验技术对其动态断裂韧性进行了研究。采用Hopkinson拉力杆实验装置测量了[0/90]n层合和[45/−45]n层合致密拉伸试样的动态断裂韧性;利用ABAQUS软件进行了相同应力波载荷下的模拟计算，并与实验结果进行了对比，验证了计算结果的准确性;利用验证的仿真模型，研究了试样厚度和裂纹长度对纤维增强复合材料动态断裂韧性的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

$Experiments and numerical simulation analysis of dynamic fracture toughness of compact tensile specimens of fiber reinforced composites$

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Experiments and numerical simulation analysis of dynamic fracture toughness of compact tensile specimens of fiber reinforced composites

This paper takes the compact tensile specimens manufactured by glass fiber reinforced composites as the research object. Hopkinson tension bar experimental technique was used to study the dynamic fracture toughness. The dynamic fracture toughness of [0/90]n laminated and [45/− 45]n laminated compact tensile specimens was measured by Hopkinson tension bar experimental device; the simulation calculation under the same stress wave loading was carried out by ABAQUS, and the accuracy was verified by comparing with the experimental results; using the verified simulation model, the effect of specimen thickness and crack length on the dynamic fracture toughness of fiber reinforced composites was studied.

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来源期刊

Archive of Applied Mechanics 物理-力学

CiteScore

4.40

自引率

10.70%

发文量

234

审稿时长

4-8 weeks

期刊介绍： Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.