Abstract
A new partial conditional optimization method which enables to select the best ratio of imported fillers not only while designing the composition of asphalt concrete mixture but also while adjusting the composition of the produced asphalt concrete mixture according to the actual quality of hot fractions is presented. The constructed mathematical model, algorithm and the solved task prove that irrespective of the number of fillers (from 2 to 7 and more) the ratio of their mass can be selected which enables to produce an asphalt concrete mixture which meets the requirements of the composition project best. The mass ratio λ of imported fillers A 1 and reclaimed dust A 2, which settled and accumulated in the dry purification equipment of an asphalt concrete plant presented in Regulations DAT.AD-96 was taken into account for the first time. Methodological scientific novelty and a possibility to apply it in practice can improve the control of asphalt concrete mixture production.
Highlights
To produce asphalt concrete mixture of the set mark according to properties identified by laboratory tests of aggregates and organic binder, the mass ratio, which produces the best physical and mechanical indices of the designed mixture, which comply with the requirements of norm [1] is selected
The bitumen content of a series of samples tested in a laboratory which have the best properties of asphalt concrete mixture is considered optimum and is recommended to be used when producing asphalt concrete mixture in an asphalt plant
The task is solved in practice, when the required type of an asphalt concrete mixture of optimum composition which complies to the composition stipulated in Regulations DAT.AD-96 with regard to the used production technology shall be produced from aggregates j, taking into consideration their actual grading
Summary
To produce asphalt concrete mixture of the set mark according to properties identified by laboratory tests of aggregates and organic binder, the mass ratio, which produces the best physical and mechanical indices of the designed mixture, which comply with the requirements of norm [1] is selected. The research aims to construct the conditional optimization mathematical model of hatched constituent aggregates mass ratio of the produced asphalt concrete mixture grading, when the grading of screened hot fractions, cold IF and RD is known and any technological ratio A of the fine disperse materials mentioned above is selected The insertion of this ratio A as an additional condition is called 'conditional' optimization. Having this model, calculation algorithm and software, during each work shift such hatched constituent aggregates mass ratio can be selected precisely and immediately from screened hot fraction grading effective control data in an asphalt plant due to which grading of asphalt concrete mixture complies with the requirements stipulated in Regulations DAT.AD-96 and the project
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