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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt
Joint Authors
Akhtar, Mohammad Nishat
Ahmed, Waseem
Kakar, Muhammad Rafiq
Bakar, Elmi Abu
Othman, A. R.
Bueno, Moises
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-26, 26 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-04
Country of Publication
Egypt
No. of Pages
26
Main Subjects
Abstract EN
Warm Mix Asphalt (WMA) and Hot Mix Asphalt (HMA) are prepared at lower temperatures, making it more susceptible to moisture damage, which eventually leads to stripping due to the adhesion failure.
Moreover, the assessment of the adhesion failure depends on the expertise of the investigator’s subjective visual assessment skills.
Nowadays, image processing has gained popularity to address the inaccuracy of visual assessment.
To attain high accuracy from image processing algorithms, the loss of pixels plays an essential role.
In high-quality image samples, processing takes more execution time due to the greater resolution of the image.
Therefore, the execution time of the image processing algorithm is also an essential aspect of quality.
This manuscript proposes a parallel k means for image processing (PKIP) algorithm using multiprocessing and distributed computing to assess the adhesion failure in WMA and HMA samples subjected to three different moisture sensitivity tests (dry, one, and three freeze-thaw cycles) and fractured by indirect tensile test.
For the proposed experiment, the number of clusters was chosen as ten (k = 10) based on k value and cost of k means function was computed to analyse the adhesion failure.
The results showed that the PKIP algorithm decreases the execution time up to 30% to 46% if compared with the sequential k means algorithm when implemented using multiprocessing and distributed computing.
In terms of results concerning adhesion failure, the WMA specimens subjected to a higher degree of moisture effect showed relatively lower adhesion failure compared to the Hot Mix Asphalt (HMA) samples when subjected to different levels of moisture sensitivity.
American Psychological Association (APA)
Akhtar, Mohammad Nishat& Ahmed, Waseem& Kakar, Muhammad Rafiq& Bakar, Elmi Abu& Othman, A. R.& Bueno, Moises. 2020. Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-26.
https://search.emarefa.net/detail/BIM-1123918
Modern Language Association (MLA)
Akhtar, Mohammad Nishat…[et al.]. Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt. Advances in Civil Engineering No. 2020 (2020), pp.1-26.
https://search.emarefa.net/detail/BIM-1123918
American Medical Association (AMA)
Akhtar, Mohammad Nishat& Ahmed, Waseem& Kakar, Muhammad Rafiq& Bakar, Elmi Abu& Othman, A. R.& Bueno, Moises. Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-26.
https://search.emarefa.net/detail/BIM-1123918
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123918