Prediction of Tensile Strength of Unidirectional Carbon Fiber Reinforced Epoxy Matrix Composites with Spring Element Model

• WATANABE Jun

  Composite Material Research Laboratories, Toray Industries, Inc.

• TANAKA Fumihiko

  Composite Material Research Laboratories, Toray Industries, Inc.

• MATSUTANI Hiroaki

  Composite Material Research Laboratories, Toray Industries, Inc.

• OKUDA Haruki

  Composite Material Research Laboratories, Toray Industries, Inc.

• TSUDA Terumasa

  Composite Material Research Laboratories, Toray Industries, Inc.

• HIGUCHI Ryo

  Department of Aerospace Engineering, Tohoku University

• YAMAMOTO Go

  Department of Aerospace Engineering, Tohoku University

• OKABE Tomonaga

  Department of Aerospace Engineering, Tohoku University

Bibliographic Information

Other Title

• ばね要素モデルを用いた一方向炭素繊維/エポキシ複合材料の引張強度予測
• バネ ヨウソ モデル オ モチイタ イチホウコウ タンソ センイ/エポキシ フクゴウ ザイリョウ ノ ヒッパリ キョウド ヨソク

Abstract

This paper describes a simulation method for predicting tensile strength of unidirectional fiber-reinforced epoxy matrix composites using a spring element model (SEM).The strengths predicted with SEM are compared with experimentally-obtained data to demonstrate the potential of the SEM. It is found that by utilizing the bimodal Weibull distribution for estimation of fiber strength distribution, the strengths predicted with the SEM are in a reasonable agreement with those acquired by resin-impregnated strand tensile tests. We then also showed that the improvement in the fiber strength distribution in the short gauge length is needed as well as the strength distribution in long gauge length to enhance the tensile strength of the composites.

Journal

• Materials System

  Materials System 34 (0), 15-20, 2016

  Materials System Research Laboratory, Kanazawa Institute of Technology

Keywords

• Spring Element Model
• CFRP
• Bimodal Weibull Distribution
• Strength Prediction

Details

• CRID: 1390850247499233152
• NII Article ID: 40020782186
• NII Article ID: 130007993508
• NII Book ID: AN00027831
• DOI: 10.34401/zairyosystem.34.0_15
• ISSN: 24359734
• ISSN: 02866013
• NDL BIB ID: 027227111
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I027227111
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed