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
ADVANCED TRANSPORTATION, PTS 1 AND 2 | 2011年 / 97-98卷
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
  • [41] Likelihood-Based Inference for the Shape Parameter of a Two Parameter Weibull Distribution
    Shaul K. Bar-Lev
    Lifetime Data Analysis, 2004, 10 : 293 - 308
  • [42] Likelihood-based inference for the shape parameter of a two parameter Weibull distribution
    Bar-Lev, SK
    LIFETIME DATA ANALYSIS, 2004, 10 (03) : 293 - 308
  • [43] Modelling fire-return interval T:: stochasticity and censoring in the two-parameter Weibull model
    Polakow, DA
    Dunne, TT
    ECOLOGICAL MODELLING, 1999, 121 (01) : 79 - 102
  • [44] Bayesian estimation for environmental factor of two parameter of Weibull distribution
    Li, Feng
    Shi, Yi-Min
    Jing, Yuan
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2008, 30 (01): : 186 - 189
  • [45] Research on fatigue life of rubber asphalt mixture based on stiffness modulus
    Fang C.-Z.
    Guo N.-S.
    Sun Y.-Z.
    Wang J.-C.
    Gongcheng Lixue/Engineering Mechanics, 2020, 37 (04): : 196 - 204
  • [46] Exact inferences of the two-parameter exponential distribution and Pareto distribution with censored data
    Cheng, Conghua
    Chen, Jinyuan
    Bai, Jianming
    JOURNAL OF APPLIED STATISTICS, 2013, 40 (07) : 1464 - 1479
  • [47] Two-Parameter Stochastic Weibull Diffusion Model: Statistical Inference and Application to Real Modeling Example
    Nafidi, Ahmed
    Bahij, Meriem
    Gutierrez-Sanchez, Ramon
    Achchab, Boujemaa
    MATHEMATICS, 2020, 8 (02)
  • [48] Annealing Parameter Optimization Algorithm in Weibull Distribution of Reliability Life Prediction Analysis for Scraper Conveyor
    Ma, Xianmin
    Yang, Jie
    Zhang, Yongqiang
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 1885 - 1889
  • [49] Characterization of fatigue performance of asphalt mixture using a new fatigue analysis approach
    Li, Ning
    Molenaar, A. A. A.
    van de Ven, M. F. C.
    Wu, Shaopeng
    CONSTRUCTION AND BUILDING MATERIALS, 2013, 45 : 45 - 52
  • [50] Statistical analysis of bending fatigue life data using Weibull distribution in glass-fiber reinforced polyester composites
    Sakin, Raif
    Ay, Irfan
    MATERIALS & DESIGN, 2008, 29 (06): : 1170 - 1181