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Fatigue Modelling for Stone Mastic Asphalt (SMA)


Muniandy, Ratnasamy and Loong, Tang Eng and Omar, Husaini (2001) Fatigue Modelling for Stone Mastic Asphalt (SMA). Pertanika Journal of Science & Technology, 9 (1). pp. 59-63. ISSN 0128-7680


Fatigue cracking is one of the major distresses found in many asphalt pavements. The premature cracking of the pavements results in the increased annual cost of resurfacing, maintenance and rehabilitation. Generally, any asphalt mix is tested in the laboratory and predictions are made using the performance curves and local conditions. However, in Malaysia there are not any pavement prediction models developed yet that can be used to predict the asphalt mix's fatigue life performance under the local environmental conditions. This paper looks into the fatigue characteristics of SMA by using local materials and environmental conditions. For the purpose of evaluation SMA14 ( SMA with 14mm aggegate as nominal) with 5 different gradations within the JKR's ACW14 gradation envelope were used. The repeated load indirect tensile tests at three different temperatures (30°C, 40°C, 50°C) and five different dynamic loadings (500N, 750N, 1000N, 1250N, 1500N) were carried out under stress controlled mode using the MATTA Machine. The fatigue performance test results plotted on a logarithmic scale of fatigue strain and load repetitions showed a good agreement with the historic trend of the fatigue data. The logarithmic relationship between fatigue loading and strain was evaluated and found to be linear at certain reliability regardless of the testing condition and mix parameter. This indicates that the fatigue model for SMA is a function of asphalt volume, resilient modulus and the fatigue strain values.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Putra Malaysia Press
Keywords: Fatigue modelling, stone mastic asphalt
Depositing User: Nur Izzati Mohd Zaki
Date Deposited: 30 Nov 2009 07:59
Last Modified: 27 May 2013 07:10
URI: http://psasir.upm.edu.my/id/eprint/3635
Statistic Details: View Download Statistic

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