Two-parameter Weibull Distribution Theory Testing Analysis in Fatigue Life of Asphalt Mixture

被引:17
|
作者
Jie, Sun [1 ]
Yu, Jiangmiao [2 ]
Zhao, Haisheng [1 ]
机构
[1] Minist Transport, Key Lab Highway Maintenance, Jinan 250031, Shandong, Peoples R China
[2] S China Univ Technol, Guangzhou, Guangdong, Peoples R China
来源
关键词
Asphalt Mixture; Fatigue Life; Weibull Distribution; Failure Probability;
D O I
10.4028/www.scientific.net/AMM.97-98.45
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
It has been commonly used normal distribution to describe the fatigue life of asphalt concrete. Because of the variability of the material itself and environmental conditions for test, experimental fatigue life datas obtained show a large discrete. Through a large number of laboratory tests and optimization of the strong representation of the data source, this paper verified distribution of the fatigue life of asphalt concrete in statistical in the use of two-parameter Weibull distribution theory and obtained fatigue life equation by regression under different failure probability. The results showed that: Weibull distribution theory can be used to describe asphalt concrete fatigue life distribution under the complicated conditions in a multi-factor.
引用
收藏
页码:45 / +
页数:2
相关论文
共 50 条
  • [1] An Extension of the Two-Parameter Weibull Distribution
    Olivares-Pacheco, Juan F.
    Cornide-Reyes, Hector C.
    Monasterio, Manuel
    REVISTA COLOMBIANA DE ESTADISTICA, 2010, 33 (02): : 219 - 231
  • [2] Comparison of parameter estimation methods of the two-parameter Weibull distribution
    Parviz Haghighat Jou
    Omolbani Mohammadrezapour
    Seyed Hassan Mirhashemi
    Sustainable Water Resources Management, 2022, 8
  • [3] Comparison of parameter estimation methods of the two-parameter Weibull distribution
    Haghighat Jou, Parviz
    Mohammadrezapour, Omolbani
    Mirhashemi, Seyed Hassan
    SUSTAINABLE WATER RESOURCES MANAGEMENT, 2022, 8 (04)
  • [4] Analysis of the difference between some estimators of the two-parameter Weibull distribution
    Cacciari, M.
    Mazzanti, G.
    Montanari, G. C.
    STATISTICA, 2005, 65 (03) : 257 - 270
  • [5] On maximum likelihood estimation for the two-parameter Weibull distribution
    Univ of Wales, Swansea, United Kingdom
    Microelectronics Reliability, 1996, 36 (05): : 595 - 603
  • [6] Statistical Analysis of Two-Parameter Generalized BS-Logistic Fatigue Life Distribution
    Xiaoling Xu
    Ronghua Wang
    Beiqing Gu
    Journal of Systems Science and Complexity, 2019, 32 : 1231 - 1250
  • [7] Finsler Geometry for Two-Parameter Weibull Distribution Function
    Dokur, Emrah
    Ceyhan, Salim
    Kurban, Mehmet
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [8] Statistical Analysis of Two-Parameter Generalized BS-Logistic Fatigue Life Distribution
    XU Xiaoling
    WANG Ronghua
    GU Beiqing
    JournalofSystemsScience&Complexity, 2019, 32 (04) : 1231 - 1250
  • [9] Statistical Analysis of Two-Parameter Generalized BS-Logistic Fatigue Life Distribution
    Xu Xiaoling
    Wang Ronghua
    Gu Beiqing
    JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2019, 32 (04) : 1231 - 1250
  • [10] Selection of Efficient Parameter Estimation Method for Two-Parameter Weibull Distribution
    Almazah, Mohammed M. A.
    Ismail, Muhammad
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021