Gaussian copula simulation model for pavement fatigue cracking prediction based on cumulative damage using miner’s law

Author

Muhaysin, Umar S. H.

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