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A New Model for Fatigue Life Distribution of Concrete

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Abstract:

Based on the S-N relationship and statistical property of concrete static strength, a function of fatigue life of concrete,1 (a − blog N) , is found to follow the normal distribution. Thus a new probabilistic model of fatigue life distribution of concrete is presented in this paper. The model connects statistical properties of static strength and fatigue life of concrete together in theory, so it is of clear physical meaning. An experiment was conducted. The experiment was a part of the project of The State Natural Science Foundation—Failure Criterion of Plain Concrete Under Multiaxial Fatigue Loading. 2 χ -test and Kolmogorov-Smirnov test are employed to test the proposed model. Fuzzy optimization is used to compare the model with lognormal distribution. 2 χ -test, Kolmogorov-Smirnov test and fuzzy optimization are also conducted for test data from references. The results show that the new model is more flexible to fit test data.

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Periodical:

Key Engineering Materials (Volumes 348-349)

Pages:

201-204

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.348-349.201

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Online since:

September 2007

Authors:

Dong Fu Zhao, Qui Ying Chang, Jian Hui Yang, Yu Pu Song

Keywords:

Fatigue Life, Fuzzy Optimization, New Model

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© 2007 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] Oh B. H. Fatigue analysis of plain concrete in flexure. J. Struct. Eng Am. Soc. Civ. Engs. 1986, No. 2, P. 112.

Google Scholar

[2] Norby G. N. Fatigue of concrete. A review of research. J. Am. Concr. Inst., 1958, 30, No. 2.

Google Scholar

[3] Li Jinghua and Li Guo. A new method for estimating fatigue life distribution law of concrete. J. Dalian University of Technology, 1997, 37, Suppl. 1 P. 115.

Google Scholar

[4] Byung Hwah Oh. Fatigue-life diatribution of concrete for various stress levels. ACI Materials Journal, 1991. P122.

Google Scholar

[5] X.P. Shi and T.F. Fwa. Flexural fatigue strength of plain concrete. ACI Materials Journal, 1993. P. 435.

Google Scholar

[6] D. Yang. A distribution function for the fatigue life of concrete. Magazine of Concrete Research, 1994, 46, No. 168. P. 215.

DOI: 10.1680/macr.1994.46.168.215

Google Scholar

[7] Enrique Castillo and Alfonso Fernandez-Canteli. A general regression model for lifetime evaluation and prediction. International Journal of Fracture, 2001, 107, No. 2. P. 117.

Google Scholar

[8] Engelhardt M. On simple estimation of parameters of the Weibull or Extreme-value distribution. Technometrics, 1975, 17. P. 369.

DOI: 10.1080/00401706.1975.10489343

Google Scholar

[9] A.C. Bajpai and I.M. Calus. Statistical methods for engineers and scientists. John Wiley and Sons. New York. 1979, P. 243.

Google Scholar

[10] Benjamin, Jack R., and Cornell, C. Allin. Probability, statistics, and dicision for civil engineers. McGraw Hill, New York, 1970, P. 684.

Google Scholar

[11] Chen Shouyu. Multiobjective decision making theory and application of neural network with fuzzy optimum selection. The Journal of Fuzzy Mathematics. 1998, 6. No. 4 P. 957 results from test of this paper results from test of reference [6] Stress level.

Google Scholar

[9] 0=S Stress level.

Google Scholar

[85] 0=S Stress level.

Google Scholar

[85] 0=S Stress level.

Google Scholar

[75] 0=S 2 χ 2 1, 05. 0χ.

Google Scholar

50.

Google Scholar

[5] 991.

Google Scholar

50.

Google Scholar

[5] 991.

Google Scholar

[2] 983.

Google Scholar

[3] 841.

Google Scholar

[1] 269.

Google Scholar

[3] 841 D nD , 05. 0.

Google Scholar

071.

Google Scholar

19.

Google Scholar

105.

Google Scholar

19.

Google Scholar

157.

Google Scholar

227.

Google Scholar

129.

Google Scholar

234 ku lu.

Google Scholar

60.

Google Scholar

40.

Google Scholar

55.

Google Scholar

45.

Google Scholar

64.

Google Scholar

36.

Google Scholar

64.

Google Scholar

36.

Google Scholar