Gaussian copula simulation model for pavement fatigue cracking prediction based on cumulative damage using miner’s law
Author
Source
Israa University Journal of Applied Science
Issue
Vol. 1, Issue 1 (31 Oct. 2017), pp.69-76, 8 p.
Publisher
Israa University Scientific Research Council
Publication Date
2017-10-31
Country of Publication
Palestine (Gaza Strip)
No. of Pages
8
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
This article offers a new model for characterizing fatigue cracking distribution under mixed traffic loading.
Using Gaussian copula, the researcher modelled the joint distribution of the allowable load repetitions and the cumulative mixed traffic loading, in order to estimate the percentage of fatigue cracking.
The results of the simulation study using the proposed copula-based model is compared to the popular fatigue cracking models, and the results revealed that copula approach is quite appropriate for predicting the fatigue cracking.
The proposed model is considering long-range traffic loading as renewal operation and using the fatigue equation to characterize the distribution of allowable number of traffic load repetitions.
American Psychological Association (APA)
Muhaysin, Umar S. H.. 2017. Gaussian copula simulation model for pavement fatigue cracking prediction based on cumulative damage using miner’s law. Israa University Journal of Applied Science،Vol. 1, no. 1, pp.69-76.
https://search.emarefa.net/detail/BIM-1293393
Modern Language Association (MLA)
Muhaysin, Umar S. H.. Gaussian copula simulation model for pavement fatigue cracking prediction based on cumulative damage using miner’s law. Israa University Journal of Applied Science Vol. 1, no. 1 (Oct. 2017), pp.69-76.
https://search.emarefa.net/detail/BIM-1293393
American Medical Association (AMA)
Muhaysin, Umar S. H.. Gaussian copula simulation model for pavement fatigue cracking prediction based on cumulative damage using miner’s law. Israa University Journal of Applied Science. 2017. Vol. 1, no. 1, pp.69-76.
https://search.emarefa.net/detail/BIM-1293393
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 76
Record ID
BIM-1293393