Modelling Workability of Asphalt concrete Performance at different Temperatures using A Statistical Model

Authors

  • Ahmad Kamil Arshad

  • Md Diah J

  • Salah Khalil

How to Cite

Arshad, A. K., Diah J, M., & Khalil, S. (2013). Modelling Workability of Asphalt concrete Performance at different Temperatures using A Statistical Model. International Journal of Engineering and Technology, 2(1), 77-87. https://doi.org/10.14419/ijet.v2i1.674

Received date: February 2, 2013

Accepted date: February 15, 2013

Published date: March 3, 2013

DOI:

https://doi.org/10.14419/ijet.v2i1.674

Abstract

In this study, a workability model is used to predict the values of Torque in relation to mix and compaction by Temperature, Gyration, Resilient Modulus, Stability and Flow. The data are obtained from workability-measuring devices developed by the authors. The value of R2 implies that about 95 % variation in the values of Torque can be explained by the variation in mixing and compaction according to Temperature, Gyration, and Resilient Modulus. The regression model as a whole shows that while the value of Torque is largely influenced by Compaction, Mixing Temperature and Gyration; Resilient Modulus, Stability and Flow are not significant determinants of workability. The paper recommends that the effect of workability on the performance of Asphalt concrete should be taken very seriously during the design.

Author Biography

  • Salah Khalil
    Faculty of Civil Engineering Universiti Teknologi MARA UiTM , Shah Alam, Malaysia

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How to Cite

Arshad, A. K., Diah J, M., & Khalil, S. (2013). Modelling Workability of Asphalt concrete Performance at different Temperatures using A Statistical Model. International Journal of Engineering and Technology, 2(1), 77-87. https://doi.org/10.14419/ijet.v2i1.674

Received date: February 2, 2013

Accepted date: February 15, 2013

Published date: March 3, 2013