Reliability of the Weibull analysis of the strength of construction materials

被引:0
|
作者
Milan Ambrožič
Krunoslav Vidovič
机构
[1] Jožef Stefan Institute,
[2] Esal d.o.o. Anhovo,undefined
来源
关键词
Monte Carlo Simulation; Measurement Uncertainty; Weibull Modulus; Confidence Bound; Breaking Force;
D O I
暂无
中图分类号
学科分类号
摘要
The breaking force during transversal loading of fibre-cement corrugated roofing sheets was measured on several test samples from a serial production. The results were statistically analyzed assuming the 2-parameter Weibull statistics. In addition, Monte Carlo statistical simulations were made by using a computerised built-in random-number generator. While smaller sample data groups, mostly containing up to 50 samples, were studied in the literature, we extended their size up to 400 samples. We showed that some trends in the evaluation of statistical parameters which hold for smaller data groups, apply well to larger data groups. In particular, we confirmed that the statistical distribution of the Weibull parameters obtained from repeated Monte Carlo simulations is log-normal. Furthermore, we considered the influence of the measurement uncertainty on the statistical parameters.
引用
收藏
页码:9645 / 9653
页数:8
相关论文
共 50 条
  • [1] Reliability of the Weibull analysis of the strength of construction materials
    Ambrozic, Milan
    Vidovic, Krunoslav
    [J]. JOURNAL OF MATERIALS SCIENCE, 2007, 42 (23) : 9645 - 9653
  • [2] STRENGTH OF MATERIALS AND THE WEIBULL DISTRIBUTION
    LINDQUIST, ES
    [J]. PROBABILISTIC ENGINEERING MECHANICS, 1994, 9 (03) : 191 - 194
  • [3] Bamboo fibres for reinforcement in composite materials: Strength Weibull analysis
    Trujillo, E.
    Moesen, M.
    Osorio, L.
    Van Vuure, A. W.
    Ivens, J.
    Verpoest, I.
    [J]. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2014, 61 : 115 - 125
  • [4] Shortest Confidence Intervals of Weibull Modulus for Small Samples in Materials Reliability Analysis
    Yalcinkaya, Meryem
    Birgoren, Burak
    [J]. GAZI UNIVERSITY JOURNAL OF SCIENCE, 2023, 36 (01): : 284 - 299
  • [5] APPLICATIONS OF THE WEIBULL METHOD TO STATISTICAL-ANALYSIS OF STRENGTH PARAMETERS OF DENTAL MATERIALS
    DERIJK, WG
    TESK, JA
    PENN, RW
    MARSH, J
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1988, 196 : 86 - PMSE
  • [6] Reliability analysis of DOOF for weibull distribution
    Wen-hua Chen
    Jie Cui
    Xiao-yan Fan
    Xian-biao Lu
    Ping Xiang
    [J]. Journal of Zhejiang University-SCIENCE A, 2003, 4 (4): : 448 - 453
  • [7] Application of the Weibull statistics to the reliability study of advanced materials
    Ratto, P
    Topolevsky, R
    [J]. ANALES DE LA ASOCIACION QUIMICA ARGENTINA, 1996, 84 (05): : 423 - 427
  • [8] Reliability analysis of DOOF for Weibull distribution
    陈文华
    崔杰
    樊晓燕
    卢献彪
    相平
    [J]. Journal of Zhejiang University-Science A(Applied Physics & Engineering), 2003, (04) : 71 - 76
  • [9] WEIBULL STRENGTH DISTRIBUTIONS AND FRACTURE CHARACTERISTICS OF ABRASIVE MATERIALS
    HUANG, H
    ZHU, XH
    HUANG, QK
    HU, XZ
    [J]. ENGINEERING FRACTURE MECHANICS, 1995, 52 (01) : 15 - 24
  • [10] Flexural strength of infrared-transmitting window materials: bimodal Weibull statistical analysis
    Klein, Claude A.
    [J]. OPTICAL ENGINEERING, 2011, 50 (02)