Incorporating multi-region crack growth into mechanical reliability predictions for optical fibres

被引:0
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作者
T. A Hanson
G. S Glaesemann
机构
[1] Corning Incorporated,
来源
关键词
Stress Intensity Factor; Stress Rate; Failure Stress; Slow Strain Rate; Proof Stress;
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学科分类号
摘要
Most mechanical reliability models for optical fibre assume the same crack growth parameters (n and B) for both proof testing and in-service life. However, this assumption leads to inconsistencies in our understanding of how the fibre behaves in the laboratory and in the field. In 1983 Ritter et al. suggested that proof-testing and in-service crack growth parameters differ according to their respective environments. Recent high-speed strength tests of abraded optical fibres indicate that crack-growth parameters change as a function of time under the same environmental conditions. It was suggested that at high processing speeds, the presence of crack growth in Region II of the K-V relationship should be entertained. In this work, the impact of Region II crack growth during proof testing was explored and the effect on mechanical reliability predictions evaluated.
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页码:5305 / 5311
页数:6
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  • [1] Incorporating multi-region crack growth into mechanical reliability predictions for optical fibres
    Hanson, TA
    Glaesemann, GS
    [J]. JOURNAL OF MATERIALS SCIENCE, 1997, 32 (20) : 5305 - 5311
  • [2] EFFECT OF MULTI-REGION CRACK-GROWTH ON PROOF TESTING
    WIEDERHORN, SM
    FREIMAN, SW
    FULLER, ER
    [J]. AMERICAN CERAMIC SOCIETY BULLETIN, 1980, 59 (08): : 865 - 865
  • [3] Multi-region load forecasting considering alternative meteorological predictions
    Fan, Shu
    Methaprayoon, Kittipong
    Lee, Wei-Jen
    [J]. IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010, 2010,
  • [4] Incorporating interstate trade in a multi-region timber inventory projection system
    Teeter, L
    Polyakov, M
    Zhou, XP
    [J]. FOREST PRODUCTS JOURNAL, 2006, 56 (01) : 19 - 27
  • [5] Multi-region Segmentation Pavement Crack Detection Method Based on Deep Learning
    Jing, Zhang
    Yanzhi, Li
    Zhongyu, Jiang
    Siyuan, Xu
    [J]. INTERNATIONAL JOURNAL OF PAVEMENT RESEARCH AND TECHNOLOGY, 2023,
  • [6] Experimental and simulation study of multi-region peen forming and mechanical property
    Wang, Chengyu
    Zhao, Zhengda
    Jiang, Jianjun
    Wang, Yongchao
    Yang, Wufei
    Yang, Jie
    [J]. JOURNAL OF MANUFACTURING PROCESSES, 2022, 84 : 198 - 215
  • [7] Innovation, Decentralization, and Planning in a Multi-Region Model of Schumpeterian Economic Growth
    Amitrajeet A. Batabyal
    Peter Nijkamp
    [J]. Networks and Spatial Economics, 2014, 14 : 605 - 628
  • [8] Anthropogenic climate change and abatement in a multi-region world with endogenous growth
    Greiner, A
    [J]. ECOLOGICAL ECONOMICS, 2005, 55 (02) : 224 - 234
  • [9] Innovation, Decentralization, and Planning in a Multi-Region Model of Schumpeterian Economic Growth
    Batabyal, Amitrajeet A.
    Nijkamp, Peter
    [J]. NETWORKS & SPATIAL ECONOMICS, 2014, 14 (3-4): : 605 - 628
  • [10] The mechanical reliability of stripped and recoated polyimide fibres for optical fibre sensors
    Tarpey, AJ
    Kukureka, SN
    Jurkschat, K
    [J]. OPTICAL FIBER AND FIBER COMPONENT MECHANICAL RELIABILITY AND TESTING II, 2002, 4639 : 141 - 151