This study aims to develop the micro-analysis of the bituminous mixtures using 2D scanner and Image Analysis Techniques (IAT). A new methodology and scheme are developed for faster and accurate procedure to compute Gradation of aggregates using (IAT) instead of the conventional methods. 2D scanner is used to analyze the horizontal cross section of HMA slices. This dissertation focuses on introducing a more elaborate method for characterization of the internal structure of aggregates which characterization of internal structure is necessary to understand the behavior of the bituminous mixtures under different conditions. Image Analysis Techniques (IAT) the technological advantages to better understand construction materials and it also provides information that can help to improve the properties of various construction materials. The aggregate internal structure provides the skeleton of the asphalt mixture, which plays an important role in rutting resistance. The Results helped to analyze the internal structure thus improving the ability to understand the behavior of construction materials. Also, the results indicate potential for using this method to evaluate the internal structure of mixtures in field where using this non-destructive, cost effective and a time efficient approach.
Nabil, A., Serwa, A., & Mostafa, A. E. (2020). Studying the potentiality of using low cost system based on image analysis technique to survey the gravel’s size in asphalt mixes. Engineering Research Journal, 167(0), 257-274. doi: 10.21608/erj.2020.140105
MLA
Ahmed Nabil; Ahmed Serwa; Abd Elzaher Mostafa. "Studying the potentiality of using low cost system based on image analysis technique to survey the gravel’s size in asphalt mixes". Engineering Research Journal, 167, 0, 2020, 257-274. doi: 10.21608/erj.2020.140105
HARVARD
Nabil, A., Serwa, A., Mostafa, A. E. (2020). 'Studying the potentiality of using low cost system based on image analysis technique to survey the gravel’s size in asphalt mixes', Engineering Research Journal, 167(0), pp. 257-274. doi: 10.21608/erj.2020.140105
VANCOUVER
Nabil, A., Serwa, A., Mostafa, A. E. Studying the potentiality of using low cost system based on image analysis technique to survey the gravel’s size in asphalt mixes. Engineering Research Journal, 2020; 167(0): 257-274. doi: 10.21608/erj.2020.140105
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