One-dimensional nonlinear model for prediction of crack spacing in concrete pavements

Chen, G. and Baker, Graham (2005) One-dimensional nonlinear model for prediction of crack spacing in concrete pavements. Advances in Structural Engineering, 8 (6). pp. 595-602. ISSN 1369-4332

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Abstract

This paper proposes a one-dimensional non-linear model lo predict the minimum and maximum crack spacings due to shrinkage in concrete pavements. The proposed model consists of two cohesive cracks and an elastic bar restrained by distributed elastic springs. The cohesive crack is characterized by an exponential softening constitutive relation. A set of non-linear equilibrium conditions are obtained. By varying the length of the elastic bar of the proposed model, the tensile forces acting on the cohesive cracks and the energy profiles are investigated. It is demonstrated that the cracking pattern varies with the length of the elastic bar (i.e. the spacing between the two possible cracks), from which the minimum and maximum crack spacings are obtained. Numerical analyses are made of a model pavement and the results indicate that it is the energy minimization principle that governs the cracking pattern. The proposed model provides physical insight into the mechanism of crack spacing in concrete pavements.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Paper to be obtained which may be deposited with blanket permission of publisher.
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 18 May 2010 01:21
Last Modified: 27 Jul 2011 23:45
Uncontrolled Keywords: concrete pavements; cracking; energy methods; localization; nonlinear analysis; shrinkage; spacing
Fields of Research (FOR2008): 09 Engineering > 0905 Civil Engineering > 090503 Construction Materials
09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Identification Number or DOI: doi: 10.1260/136943305776318338
URI: http://eprints.usq.edu.au/id/eprint/8114

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