Short Communication: Modeling of asphalt concrete via simulated annealing

Authors:
Ercan Özgan;Hamit Saruhan
Affiliations:
Faculty of Technical Education, University of Düzce, 81620 Konuralp Campuse, Düzce, Turkey;Faculty of Technical Education, University of Düzce, 81620 Konuralp Campuse, Düzce, Turkey
Venue:
Advances in Engineering Software
Year:
2010

Citing 1
Cited 1

Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm: Corrigenda for this article is available here

ACM Transactions on Mathematical Software (TOMS)

Research on computational intelligence algorithms with adaptive learning approach for scheduling problems with batch processing machines

Neurocomputing

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Abstract

In this study, 65 asphalt core specimens taken from D100/11 state highway section in Turkey were examined for their physical properties in the laboratory. Analysis of data was conducted to determine the effects of the varying environment temperature and varying length of exposure to these temperatures on the stability of the asphalt core samples using destructive, Marshall, method. The asphalt core samples were determined using SPSS statistical program for modeling. Simulated annealing was implemented to determine a set of unknown parameters which best matched the asphalt concrete model predictions with experimental data. This modeling procedure can be used as a guideline for experiments to improve the stability of the asphalt concrete. The stability of the asphalt concrete is taken as the main objective function with respect to voids of volume, saturated unit volume weight, air dry unit volume weight, environment temperature, and exposure time.