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Advances in Material Characterization and Pavement Modeling
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Advances in Material Characterization and Pavement Modeling

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Construction and Building Materials".

Deadline for manuscript submissions: 20 December 2025 | Viewed by 1336

Special Issue Editors

Dr. Guozhi Fu

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Guest Editor
Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore
Interests: pavement engineering; NDT; pavement performance evaluation
Dr. Yi Li

E-Mail Website
Guest Editor
Section of Pavement Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands
Interests: multi-physics and multi-scale characterization and modeling of asphalt materials; sustainable asphalt recycling technologies; pavement structural performance monitoring and degradation modeling; road material passport and waste management; multi-cycle and multicriteria decision-making
Special Issues, Collections and Topics in MDPI journals
Dr. Zhanchuang Han

E-Mail Website
Guest Editor
Department of Civil and Environment Engineering, National University of Singapore, Singapore 117576, Singapore
Interests: pavement
Special Issues, Collections and Topics in MDPI journals
Dr. Mingchen Li

E-Mail Website
Guest Editor
School of Infrastructure Engineering, Dalian University of Technology, Dalian 16024, China
Interests: in situ tests or nondestructive tests for asphalt mixtures; ecological road engineering technologies; green intelligent road materials
Special Issues, Collections and Topics in MDPI journals
Dr. Dandan Cao

E-Mail Website
Guest Editor
Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
Interests: mechanical analysis and simulation of road infrastructure; intelligent detection of road performance; pavement preventive maintenance, repair, and reconstruction and expansion technology
Dr. Chengwei Xing

E-Mail Website
Guest Editor
Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, South 2nd Ring Road Middle Section, Xi’an 710064, China
Interests: bitumen aging and reclamation of recycled bitumen pavement; in situ tests or nondestructive tests (NDTs) for asphalt mixtures
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Roads are one of the most critical components of transportation infrastructure, forming the backbone of modern mobility. Accurate characterization of the mechanical and durability properties and in-service performance of paving materials is fundamental to the pavement design and analysis. At the same time, precise modeling and simulation of pavement structures under complex loading conditions and environmental influences play a vital role in guiding pavement design and evaluation.

With the advancement of technology, increasingly sophisticated and accurate material characterization models have been developed. Computational capabilities have also evolved, enabling the simulation and analysis of pavement structures under complex loading scenarios and environmental influences. Research on material characterization and pavement modeling requires more platforms to showcase these findings, thereby contributing to the development of the pavement industry.

This Special Issue, “Advances in Material Characterization and Pavement Modeling”, aims to bring together the latest research and developments in material characterization and pavement modeling. We welcome contributions on a wide range of topics, including, but not limited to, the following:

  • Mechanical and durability properties of paving materials;
  • Numerical modeling and simulation techniques for pavement structures;
  • Long-term performance evaluation of recycled or green paving materials;
  • Multi-scale and multi-physics modeling approaches;
  • Insights into fatigue, cracking, and other failure mechanisms in pavement materials;
  • Data-driven and machine learning approaches in material characterization and pavement analysis.

This Special Issue serves as a platform for researchers and practitioners to share new insights, methodologies, and applications that advance our understanding and capabilities in the field of material characterization and pavement modeling. We look forward to receiving your contributions.

Dr. Guozhi Fu
Dr. Yi Li
Dr. Zhanchuang Han
Dr. Mingchen Li
Dr. Dandan Cao
Dr. Chengwei Xing
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. Materials 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 2600 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

  • material characterization
  • pavement modeling
  • recycled paving materials
  • long-term performance evaluation
  • sustainability
  • environmental efficiency
  • airport runways and highway structures

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

21 pages, 12663 KiB  
Article
Fatigue Cracking Characteristics of Ultra-Large Particle Size Asphalt Mixture Under Temperature and Loading Using Digital Image Correlation Techniques
by Tian Tian, Yingjun Jiang, Yong Yi, Chenliang Nie and Changqing Deng
Materials 2025, 18(7), 1475; https://doi.org/10.3390/ma18071475 - 26 Mar 2025
Viewed by 315
Abstract
This study quantitatively investigates the fatigue cracking behavior of ultra-large particle size asphalt mixture (LSAM-50) under coupled temperature and stress effects. Fatigue tests were conducted across temperatures ranging from −15 °C to 35 °C and stress levels (0.3–0.9 of splitting tensile strength), with [...] Read more.
This study quantitatively investigates the fatigue cracking behavior of ultra-large particle size asphalt mixture (LSAM-50) under coupled temperature and stress effects. Fatigue tests were conducted across temperatures ranging from −15 °C to 35 °C and stress levels (0.3–0.9 of splitting tensile strength), with crack evolution tracked in real time using digital image correlation (DIC). Key parameters, including main crack length, crack density, curvature, fractal dimension, and strain, were analyzed to characterize crack propagation. Results revealed a three-stage process: initiation, development, and acceleration to failure. Increasing temperature or stress level accelerated horizontal/vertical displacement rates, main crack expansion, and strain accumulation, while reducing crack density and fractal dimension. A fatigue prediction model, LgN = 9.741 − 1.213Lgε − 0.017T − 1.579S (R2 = 0.954), was established, linking fatigue life (N) to strain (ε), temperature (T), and stress level (S). This model enables precise fatigue life estimation under varying environmental conditions. For instance, the model predicts a 60% reduction in fatigue life when temperature rises from 15 °C to 35 °C at S = 0.7, highlighting its utility in material selection for climate-resilient infrastructure, offering a critical tool for optimizing LSAM-50 in pavement design. By integrating DIC-derived crack metrics and mechanistic insights, this work not only enhances understanding of the fatigue cracking behavior of LSAM-50 but also provides valuable insights for the design and optimization of materials under varying environmental conditions. Full article
(This article belongs to the Special Issue Advances in Material Characterization and Pavement Modeling)
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16 pages, 1317 KiB  
Article
Influence of Pavement Material and Structure on Low-Temperature Crack Resistance for Double-Layer Asphalt Surface One-Time Paving
by Bingyang Wu, Zhanchuang Han, Yunbo Mao, Shuai Wang, Hui Zhao, Shuo Zhang and Mingchen Li
Materials 2025, 18(5), 1037; https://doi.org/10.3390/ma18051037 - 26 Feb 2025
Viewed by 375
Abstract
The double-layer one-time-paving technology for asphalt mixtures enhances the interlayer adhesion and stability of pavement by simultaneously laying and compacting two layers of asphalt mixture, demonstrating improvements over traditional layer-by-layer paving and compaction methods. Based on this technology, the effects of paving techniques, [...] Read more.
The double-layer one-time-paving technology for asphalt mixtures enhances the interlayer adhesion and stability of pavement by simultaneously laying and compacting two layers of asphalt mixture, demonstrating improvements over traditional layer-by-layer paving and compaction methods. Based on this technology, the effects of paving techniques, mixture types, and structural layer thickness on the low-temperature crack resistance of pavement at −10 °C were investigated. Results indicated that, compared to traditional paving methods, the maximum tensile strain and bending strain energy density of pavement using the double-layer one-time-paving technique increased by at least 14% and 20%, respectively, under a 95% confidence level. Compared to the AC-13 + AC-25 mixture combination, the AC-16 + AC-20, AC-16 + AC-25, and AC-13 + AC-20 combinations showed increases in maximum tensile strain by at least 25%, 15%, and 15%, and in bending strain energy density by at least 57%, 38%, and 31%, respectively. Compared to the 5 cm + 5 cm thickness combination, the 4 cm + 6 cm and 3 cm + 7 cm combinations exhibited increases in maximum tensile strain by at least 14% and 22%, and in bending strain energy density by at least 16% and 29%, respectively. To effectively improve the low-temperature crack resistance of asphalt pavement at −10 °C, it is recommended to adopt a double-layer one-time-paving structure with a 3 cm AC-16 upper layer and a 7 cm AC-20 lower layer, providing insights for more durable asphalt pavements in cold climates. Full article
(This article belongs to the Special Issue Advances in Material Characterization and Pavement Modeling)
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