Statistical Evaluation for S-N properties of Unidirectional Fiber-reinforced Plastic

  • MUKOYAMA Kazutaka
    Management of Industry and Technology, Graduate School of Engineering, Osaka University
  • HANAKI Koushu
    Management of Industry and Technology, Graduate School of Engineering, Osaka University
  • KURASHIKI Tetsusei
    Management of Industry and Technology, Graduate School of Engineering, Osaka University

Bibliographic Information

Other Title
  • 一方向繊維強化プラスチックの <I>S-N</I> 特性に対する統計的評価
  • 一方向繊維強化プラスチックのS-N特性に対する統計的評価
  • イチホウコウ センイ キョウカ プラスチック ノ S-N トクセイ ニ タイスル トウケイテキ ヒョウカ

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Abstract

  Failure probability model of unidirectional fiber-reinforced plastic was constructed based on P-S-N curve using the S-N data set collected from database and published papers. Firstly, S-N curves for each data set were obtained by using a regression method based on fatigue strength distribution. To merge each S-N data set with various test conditions, maximum stress of their data set was normalized by tensile strength. As the result, each data set could be gathered into narrow region. However, some data sets still existed out of common region. Secondly, statistical test for differentiating between S-N data sets was carried out by using analysis of variance, and then merged data set was obtained. Finally, failure probability model was constructed based on P-S-N curve using the merged data set and a regression method based on fatigue strength distribution. The model could be applied to Reliability design.

Journal

  • Journal of Smart Processing

    Journal of Smart Processing 5 (1), 65-70, 2016-01-20

    Smart Processing Society for Materials, Environment & Energy (High Temperature Society of Japan)

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