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Advances in Sustainable Asphalt Materials and Pavements

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 4858

Special Issue Editors


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Guest Editor
School of Civil Engineering, University of Oklahoma, 202 W. Boyd St., Room 334, Norman, OK 73019-1024, USA
Interests: geomechanics; pavement materials and systems; modeling and simulation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Civil and Environmental Engineering, South Dakota State University, Brookings, SD 57007, USA
Interests: innovative and environmentally friendly transportation infrastructure materials; multiscale material characterization; pavement performance; asphalt materials
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73071, USA
Interests: transportation infrastructure materials; performance enhancement of asphalt pavements; recycling in pavement construction; advanced analysis of pavement condition data; green and bio-based paving technologies; forensic investigation of pavement distresses; mechanistic design of pavements

Special Issue Information

Dear Colleagues,

Recently, there have been significant advances in research on asphalt materials and pavements with a focus on sustainability and resiliency. These advances have been necessitated, in part, by the rapid growth in traffic (in terms of volume, composition, smart/autonomous vehicles, etc.), rapidly changing climate extremes, the frequency and intensity of severe weather, and lack of resources for the construction of new pavements and the maintenance and rehabilitation of existing asphalt pavements. Unprecedented developments in the collection and mining of data, as well as artificial intelligence-based models, have created new opportunities for new and improved methods for design, construction, condition assessment and performance monitoring, and data-driven decision making. In this Special Issue, we seek to publish original contributions documenting the aforementioned and other associated developments, with a focus on sustainability and resiliency. Each submitted paper will undergo rigorous peer review by experts in the field, and the highest-quality papers will be selected for publication. In line with our aim of documenting recent developments, each submitted manuscript is expected to be rich in literature review and original contributions, and those with implementation potential are particularly encouraged.

Sincerely,

Prof. Dr. Musharraf Zaman
Dr. Rouzbeh Ghabchi
Dr. Syed Ashik Ali
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. Sustainability is an international peer-reviewed open access semimonthly 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

  • asphalt mix
  • binder
  • testing
  • modeling
  • data analytics
  • performance
  • mechanical properties
  • sustainable pavements
  • advanced characterization

Published Papers (4 papers)

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Research

15 pages, 3199 KiB  
Article
Determination of the Social Contribution of Sustainable Asphalt Mixes
by Leonardo Sierra-Varela, Gonzalo Valdes-Vidal, Alejandra Calabi-Floody, Leonardo Lleuful-Cruz, Noe Villegas-Flores and Álvaro Filun-Santana
Sustainability 2023, 15(21), 15205; https://doi.org/10.3390/su152115205 - 24 Oct 2023
Viewed by 719
Abstract
The social contribution that infrastructure components contribute to a territory tends to be underestimated. Indeed, few studies referring to asphalt pavements take social impact into account in their evaluation. This study proposes and evaluates a method to estimate the social contribution of innovative [...] Read more.
The social contribution that infrastructure components contribute to a territory tends to be underestimated. Indeed, few studies referring to asphalt pavements take social impact into account in their evaluation. This study proposes and evaluates a method to estimate the social contribution of innovative asphalt mixes used in a test section in Chile. For this, a multi-criteria structure, the Delphi method, was used to validate the evaluation structure, and the Bayesian theory and a Noise-OR model to evaluate the social contribution of asphalt mixes. Thus, for the life cycle of extraction, production, and construction, a set of indicators and social criteria determine a cause-effect decision-making model. Six types of asphalt mixes were evaluated: hot mix asphalt (HMA), warm mix asphalt (WMA) with natural zeolite from Chile, WMA with exported chemical additive, and their variants with and without recycled asphalt pavement (RAP). The results demonstrate that the WMAs with RAP achieve a more significant social contribution, emphasizing its contribution to the landscape, development and innovation, socioeconomic development, and health. Full article
(This article belongs to the Special Issue Advances in Sustainable Asphalt Materials and Pavements)
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22 pages, 17964 KiB  
Article
Calibration of Effective Structural Number and Tensile Strain Models Using Traffic Speed Deflectometer (TSD) Data for Enhanced Project-Level Assessment on Flexible and Composite Pavements
by Matias M. Mendez Larrain, Syed Ashik Ali, Kenneth Hobson and Musharraf Zaman
Sustainability 2023, 15(20), 14848; https://doi.org/10.3390/su152014848 - 13 Oct 2023
Viewed by 1113
Abstract
Pavement deterioration models provide the basis for predicting future changes in network conditions, estimating future funding needs, and determining the effectiveness and timing of maintenance and rehabilitation activities. Determining the accurate structural condition of pavements helps identify effective maintenance strategies which enhance the [...] Read more.
Pavement deterioration models provide the basis for predicting future changes in network conditions, estimating future funding needs, and determining the effectiveness and timing of maintenance and rehabilitation activities. Determining the accurate structural condition of pavements helps identify effective maintenance strategies which enhance the sustainability and service life of pavements. This study aimed to use the Traffic Speed Deflectometer (TSD) and Fast Falling Weight Deflectometer (FFWD) for project-level evaluation of pavements and use pavement properties to calibrate current models that help to predict the structural condition of pavements. Model parameters were calibrated to determine the effective structural number and tensile strains at the bottom of asphalt concrete for asphalt and composite pavements from TSD deflections. Tensile strains from the KENLAYER highlighted varied behaviors for composite pavements. A significant improvement in the calibration was observed for asphalt concrete pavements. While the TSD has higher daily operational costs than FWD, its per-mile cost is significantly lower, making it a viable choice for extensive coverage, even though the quantitative results might differ between the two devices. Full article
(This article belongs to the Special Issue Advances in Sustainable Asphalt Materials and Pavements)
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18 pages, 4607 KiB  
Article
Study on Compaction Properties and Skeleton Structural Characteristics of Porous Asphalt Mixture
by Zhihao Cheng, Xiao Li, Qilin Yang, Naixing Liang, Liangliang Chen, Shaopeng Zheng and Dawei Wang
Sustainability 2023, 15(18), 13911; https://doi.org/10.3390/su151813911 - 19 Sep 2023
Cited by 1 | Viewed by 690
Abstract
Porous asphalt pavements have a skeletal structure with a large number of interconnecting pores, which can improve drainage, ensure traffic safety, and reduce tire noise. However, it can weaken the mechanical properties of the pavement. One of the key factors affecting the performance [...] Read more.
Porous asphalt pavements have a skeletal structure with a large number of interconnecting pores, which can improve drainage, ensure traffic safety, and reduce tire noise. However, it can weaken the mechanical properties of the pavement. One of the key factors affecting the performance of porous asphalt pavements is the quality of compaction, the assessment of which is difficult to accurately quantify. Therefore, Superpave gyratory compaction (SGC) and skeleton penetration tests of porous asphalt mixtures were carried out using three engineering-differentiated gradations in this paper to investigate the gyratory compaction characteristics and the skeleton contact state during penetration. The results show that obvious stages with the increase in number of cycles can be observed during the compaction process. All gradations can achieve the maximum porosity requirements within a reasonable number of compaction cycles, while only the medium and fine gradations can approximately meet the minimum porosity requirements. The coarse gradation takes too long to finish compaction and is almost impossible to meet the minimum porosity. The optimum match between the void ratio of the design gradation and the skeleton contact state can be verified using the VCA ratio and void ratio curves. This is a new method to determine the corresponding target compaction number that can ensure better accuracy and ease of engineering application. Moreover, medium-graded mixtures with better skeletal embedding exhibit greater skeletal strength than coarse-graded aggregates, which provide theoretical support for the establishment of material grade optimization methods. Full article
(This article belongs to the Special Issue Advances in Sustainable Asphalt Materials and Pavements)
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17 pages, 5622 KiB  
Article
Fatigue Cracking Characteristics of Asphalt Pavement Structure under Aging and Moisture Damage
by Sunglin Yang, Heebeom Park and Cheolmin Baek
Sustainability 2023, 15(6), 4815; https://doi.org/10.3390/su15064815 - 08 Mar 2023
Cited by 4 | Viewed by 1623
Abstract
Structural characteristics influence assessment of fatigue cracking behavior. In the assessment of asphalt pavements, the asphalt structure and practical conditions must be considered. This study analyzes changes in the elastic modulus of the pavement of different asphalt mixtures amid aging and moisture damage [...] Read more.
Structural characteristics influence assessment of fatigue cracking behavior. In the assessment of asphalt pavements, the asphalt structure and practical conditions must be considered. This study analyzes changes in the elastic modulus of the pavement of different asphalt mixtures amid aging and moisture damage through fatigue cracking tests. A model to predict the tensile strain at the bottom of the pavement layer is developed through a structural analysis based on the material properties. The results are comparatively analyzed using the Mechanistic-Empirical Pavement Design Guide to predict the fatigue crack life. The test results indicate that moisture damage significantly influences the material properties of asphalt pavement and can accelerate pavement damage as the asphalt ages. The coefficient values of the proposed fatigue-life prediction model can be used to predict the fatigue life depending on the age of the asphalt and its moisture damage after aging. The degree of fatigue damage can be predicted by calculating the tensile strain using the regression equation and elastic modulus according to the aging and moisture damage. Full article
(This article belongs to the Special Issue Advances in Sustainable Asphalt Materials and Pavements)
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