Technological and economic design of asphalt mixture composition based on optimization methods

    Henrikas Sivilevičius Info
    Kęstutis Vislavičius Info
    Justas Bražiūnas Info

Abstract

The asphalt pavement made of high quality materials and having the optimal composition best resists destructive effects of environmental factors and vehicles. The optimal content of the mineral materials of the asphalt mixture and a bituminous binder is selected employing calculation and experimental methods. The properties of the designed asphalt mixture must meet the requirements of technical specifications thus reducing its cost. The paper presents algorithms for simulating the composition of the asphalt mixture applying mathematical programming techniques. The algorithms allow designing the asphalt mixture with minimal bitumen content, a low cost of the mineral part and the densest gradation assessing technological requirements for producing the mixture. Optimal bitumen content is calculated considering bitumen capacities specified for different types of rock and determined employing the most recent standard sieves screening for narrow fractions. For verifying the new proposed algorithms, a numerical experiment on the materials most commonly used in asphalt mixing plants was done. The analysis of findings indicates that the application of the algorithms assist in comparing real results.

First published online: 03 Apr 2017

Keywords:

asphalt mixture, design of composition, optimization, gradation, bitumen content, cost minimization, bitumen capacity, numerical experiment

How to Cite

Sivilevičius, H., Vislavičius, K., & Bražiūnas, J. (2017). Technological and economic design of asphalt mixture composition based on optimization methods. Technological and Economic Development of Economy, 23(4), 627-648. https://doi.org/10.3846/20294913.2017.1312631

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June 16, 2017
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2017-06-16

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How to Cite

Sivilevičius, H., Vislavičius, K., & Bražiūnas, J. (2017). Technological and economic design of asphalt mixture composition based on optimization methods. Technological and Economic Development of Economy, 23(4), 627-648. https://doi.org/10.3846/20294913.2017.1312631

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