Effect of Loading Rate on Dynamic Fracture Behavior of Glass and Carbon Fiber Modified Epoxy
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-00771-7_21
Reference9 articles.
1. Song SG et al (1996) Reinforcement shape effects on the fracture behavior and ductility of particulate-reinforced 6061-Al matrix composites. Metall Mater Trans A 27(11):3739–3746
2. Nakamura Y et al (1992) Effect of particle-size on the fracture toughness of epoxy-resin filled with spherical silica. Polymer 33(16):3415–3426
3. Nakamura Y et al (1992) Effect of particle-size on mechanical properties of epoxy-resin filled with angular-shaped silica. J Appl Polym Sci 44(1):151–158
4. Spanoudakis J, Young RJ (1984) Crack-propagation in a glass particle-filled epoxy-resin. 1. Effect of particle-volume fraction and size. J Mater Sci 19(2):473–486
5. Kitey R, Tippur HV (2005) Role of particle size and filler-matrix adhesion on dynamic fracture of glass-filled epoxy. I. Macromeasurements. Acta Materialia 53(4):1153–1165
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An innovative tensile test method to evaluate the effect of the loading rate on viscoelastic interfaces;Engineering Fracture Mechanics;2022-12
2. Experimental and numerical investigation of fracture toughness of hybrid glass/metal fiber reinforced polymer composites;Engineering Research Express;2022-11-07
3. Dynamic Fracture Toughness Prediction of Fiber/Epoxy Composites Using K-Nearest Neighbor (KNN) Method;Handbook of Epoxy/Fiber Composites;2022
4. Dynamic Fracture Toughness Prediction of Fiber/Epoxy Composites Using K-Nearest Neighbor (KNN) Method;Handbook of Epoxy/Fiber Composites;2022
5. Applications of Machine Learning in the Field of Polymer Composites;Machine Learning Applied to Composite Materials;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3