Effect of drilling-induced defects on progressive damage of open-hole composite laminates under compression-Reference-Cited by-同舟云学术

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Effect of drilling-induced defects on progressive damage of open-hole composite laminates under compression

Published:2022-01-16 Issue:4 Volume:31 Page:399-427
ISSN:0924-3046
Container-title:Advanced Composite Materials
language:en
Short-container-title:Advanced Composite Materials

Author:

Endalew Abebaw Molla¹,Woo Kyeongsik²,Cairns Douglas S.³

Affiliation:

1. Faculty of Civil and Water Resource Engineering, Bahir Dar Institute of Technology, Bahir Dar, Ethiopia

2. School of Civil Engineering, Chungbuk National University, Cheongju, Korea

3. Department of Mechanical & Industrial Engineering, Montana State University, Bozeman, MT, USA

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

Link

https://www.tandfonline.com/doi/pdf/10.1080/09243046.2021.2021358

Reference43 articles.

1. Micromechanics of kink band formation in open-hole fibre composites under compressive loading

2. Compression behavior of laminated composites subjected to damage induced by low velocity impact and drilling

3. Effect of drilling-induced damage on the open hole flexural fatigue of carbon/epoxy composites

4. Design tool to predict the open-hole failure strength of composite laminates subjected to in-plane loads

5. Failure Prediction Technique for Compression Loaded Carbon Fibre-Epoxy Laminate with Open Holes

Cited by 3 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. Effects of drilling-induced defects on tensile damage evolution of CFRP laminates;Journal of Reinforced Plastics and Composites;2024-05-28

2. Sustainable shape formation of multifunctional carbon fiber-reinforced polymer composites: A study on recent advancements;Mechanics of Advanced Materials and Structures;2023-09-28

3. Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network;Composite Structures;2022-09

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