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Processes
Special Issues
Advances in Modifications Processes of Bitumen and Asphalt Mixtures
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Advances in Modifications Processes of Bitumen and Asphalt Mixtures

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 762

Special Issue Editors

Dr. Uneb Gazdar

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Bahrain, Sakhir 32038, Bahrain
Interests: transportation engineering; pavement engineering; experimental design; asphalt modifications; predictive modeling
Dr. Abdullah Al Mamun

E-Mail Website
Guest Editor
Lyles School of Civil Engineering, Purdue University, 550 W Stadium Avenue, West Lafayette, IN 47907, USA
Interests: pavement engineering; machine learning; data science; asphalt performance

Special Issue Information

Dear Colleagues,

Transportation infrastructure is a vital part of any country’s assets and plays a significant role in its economic development and social interactions. Presently, the majority of this infrastructure is made up of flexible pavements wherein the asphalt or bitumen mixtures constitute perhaps the most important part. These mixtures are used in the top layer, which provides the protection to the structural layers below it, withstands the effects of weather and tire friction and facilitate movement of vehicles by ensuring the required riding quality. The recognizing the importance of bituminous materials, a lot of attention has been given to the improvement of their strength, their durability, and reducing their environmental impact. These efforts have largely focused on modifying bituminous materials, with or without aggregates, with the addition of foreign materials, which include recycled and new materials. As these efforts continue, there is a greater need for showcasing them on a unified platform so that the future research can be guided accordingly.

Therefore, this Special Issue on “Advances in Modifications Processes of Bitumen and Asphalt Mixtures” seeks high quality works focusing on performance investigation of different aspects of bituminous materials with the addition of different non-traditional materials. Topics include, but are not limited to the following:

  • Experimental investigation on asphalt and bitumen mixtures;
  • Use of recycled materials in pavements;
  • Performance evaluation of bitumen and asphalt;
  • Changes in chemical and rheological properties of asphalt with the addition of new materials;
  • Construction methods for modified asphalt mixtures;
  • Testing procedures for asphalt mixtures;
  • Reducing environmental impact of road construction;
  • Innovative uses of modified asphalt and its mixtures;

Dr. Uneb Gazdar
Dr. Abdullah Al Mamun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • road infrastructure
  • asphalt
  • bituminous materials
  • surface layer
  • lab testing
  • strength
  • durability
  • chemical properties
  • rheological properties
  • field procedures

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Published Papers (1 paper)

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Research

19 pages, 3731 KiB  
Article
Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content
by Abdullah Al Mamun, Uneb Gazder, Md Kamrul Islam, Md Arifuzzaman, Hamad Al-Abdul Wahhab and Muhammad Muhitur Rahman
Processes 2025, 13(5), 1489; https://doi.org/10.3390/pr13051489 - 13 May 2025
Viewed by 422
Abstract
Predicting the performance of hot mix asphalt (HMA) is crucial for ensuring pavement durability, especially as the use of rejuvenated reclaimed asphalt pavement (RAP) increases in sustainable construction. Indirect tensile strength (ITS) is a critical parameter that indicates a pavement’s resistance to cracking [...] Read more.
Predicting the performance of hot mix asphalt (HMA) is crucial for ensuring pavement durability, especially as the use of rejuvenated reclaimed asphalt pavement (RAP) increases in sustainable construction. Indirect tensile strength (ITS) is a critical parameter that indicates a pavement’s resistance to cracking and distress under traffic loads. This study developed statistical and machine learning models—linear regression, support vector machine (SVM), and artificial neural network (ANN)—to predict ITS and ITS loss in RAP-incorporated HMA rejuvenated with waste cooking oil (WCO) and waste engine oil (WEO). The models used key input variables, including rejuvenator type and the composition of asphalt, rejuvenator, and RAP. Results showed that WCO increased initial ITS, while WEO enhanced durability by reducing ITS loss. Additionally, lower RAP and asphalt content contributed to improved pavement durability. Among the predictive models, ANN demonstrated the highest accuracy, exhibiting lower error metrics and less variation in scatterplots compared to regression and SVM models. The only exception was ITS loss percentage prediction, where the mean absolute error was nearly identical across all models. These predictive models provide valuable insights for designing and testing modified asphalt mixtures, particularly those containing RAP. By optimizing mix design and enabling proactive maintenance strategies, they contribute to the development of more durable and sustainable pavement infrastructure with the provision of accurate and workable models for prediction of ITS and loss prediction which can be used for design. Full article
(This article belongs to the Special Issue Advances in Modifications Processes of Bitumen and Asphalt Mixtures)
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