Study of Lifetime Prediction of Concrete in Western Region Based on Weibull Distribution

被引:0
作者
Qiao H. [1 ]
Feng Q. [1 ]
Zhu B. [2 ]
Wei Z. [3 ]
Lu C. [1 ]
Wang P. [1 ]
机构
[1] School of Civil Engineering, Lanzhou University of Technology, Lanzhou
[2] School of Civil Engineering, Southeast University, Nanjing
[3] School of Science, Lanzhou University of Technology, Lanzhou
来源
| 1600年 / Editorial Board of Journal of Basic Science and卷 / 28期
关键词
Accelerated test; Concrete; Lifetime prediction; Parametric estimation; Reliability; Weibull distribution;
D O I
10.16058/j.issn.1005-0930.2020.04.020
中图分类号
学科分类号
摘要
An accelerated failure test of concrete was conducted in a special natural environment, and accelerated life data were obtained. Firstly, the Weibull distribution function was used to model the degradation process by combining the life data.Then, the parametric estimation of the Weibull distribution was proposed by using different parameter estimation methods. Finally, the reliability and probability density functions of service life were established.The results showed that the Weibull distribution can describe the durability degradation of concrete specimens effectively. By using this method, the accelerated life reliability function of concrete can reflect the service life of the specimen directly, and the experimental value is in good agreement with the lifetime prediction. In applying the parameter estimation method, the least square (LSE) method and maximum likelihood estimation (MLE) methods are suitable to obtain complete life data for small samples. This provides a direct and effective method to estimate the parameters for lifetime prediction and reliability evaluation of the accelerated failure test of concrete. © 2020, The Editorial Board of Journal of Basic Science and Engineering. All right reserved.
引用
收藏
页码:993 / 1005
页数:12
相关论文
共 29 条
  • [1] Code for investigation of geotechnical engineering, (2001)
  • [2] Zhong Dechun, Study on the distribution characteristics of the saline soil and the foundation theatment in Xining area, Journal of Qinghai University (Nature Science), 29, 2, pp. 30-33, (2011)
  • [3] Jin Weiliang, Li Zhiyuan, Xu Chen, Life prediction method of concrete structures based on relativistic information entropy, Journal of Zhejiang University (Engineering Science), 46, 11, pp. 1991-1997, (2012)
  • [4] Shao Wei, Li Jingpei, Yue Zhuwen, Service life prediction of concrete pipe pile due to chloride ion corrosion by modeling, Journal of the Chinese Ceramic Society, 41, 5, pp. 575-581, (2013)
  • [5] Shao Wei, Li Jingpei, Service life prediction of reinforced concrete pipe pile due to chloride ion corrosion, Journal of Tongji University (Natural Science), 42, 12, pp. 1820-1825, (2014)
  • [6] Xu Chongfa, Cao Shuangyin, Fan Shenlong, Et al., Unified prediction model of concrete neutral depth under multiple factors, Journal of Southeast University (Natural Science Edition), 44, 2, pp. 363-368, (2014)
  • [7] Wang Lijiu, Wang Zhenshuang, Cui Zhenglong, Service life prediction of recycled concrete based on freezing-thawing damage parabola model, Journal of Basic Science and Engineering, 19, 1, pp. 29-35, (2011)
  • [8] Wang Qiangqiang, Jiang Jianhua, Method for predicting service life of concrete materials and structures based on climate environmental action, Journal of Architecture and Civil Engineering, 32, 3, pp. 67-73, (2015)
  • [9] Ryan P C, O'Connor A J., Probabilistic analysis of the time to chloride induced corrosion for different self-compacting concretes, Construction and Building Materials, 47, pp. 1106-1116, (2013)
  • [10] Srubar W V., Stochastic service-life modeling of chloride-induced corrosion in recycled-aggregate concrete, Cement and Concrete Composites, 55, pp. 103-111, (2015)