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140105

Studying the potentiality of using low cost system based on image analysis technique to survey the gravel’s size in asphalt mixes

Article

Last updated: 04 Jan 2025

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Abstract

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.

DOI

10.21608/erj.2020.140105

Keywords

Surveying, Image analysis, hot mix asphalt, Gravel size

Authors

First Name

Ahmed

Last Name

Nabil

MiddleName

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Affiliation

Faculty of Engineering in El-Mataria, Helwan University, Cairo, Egypt

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Orcid

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First Name

Ahmed

Last Name

Serwa

MiddleName

-

Affiliation

Faculty of Engineering in El-Mataria, Helwan University, Cairo, Egypt.

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Orcid

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First Name

Abd Elzaher

Last Name

Mostafa

MiddleName

-

Affiliation

Faculty of Engineering in El-Mataria, Helwan University, Cairo, Egypt.

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Volume

167

Article Issue

0

Related Issue

20643

Issue Date

2020-09-01

Receive Date

2021-01-16

Publish Date

2020-09-01

Page Start

257

Page End

274

Print ISSN

1110-5615

Link

https://erj.journals.ekb.eg/article_140105.html

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https://erj.journals.ekb.eg/service?article_code=140105

Order

8

Type

Original Article

Type Code

998

Publication Type

Journal

Publication Title

Engineering Research Journal

Publication Link

https://erj.journals.ekb.eg/

MainTitle

Studying the potentiality of using low cost system based on image analysis technique to survey the gravel’s size in asphalt mixes

Details

Type

Article

Created At

22 Jan 2023