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Innovative Road Materials and Pavement Design—Functional Materials and Intelligent Sensing...
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Innovative Road Materials and Pavement Design—Functional Materials and Intelligent Sensing Pavement

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

Deadline for manuscript submissions: closed (20 August 2023) | Viewed by 5181

Special Issue Editors

Prof. Dr. Yiqiu Tan

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Guest Editor
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
Interests: asphalt mixture; functional materials; intelligent sensing; multiscale; long life pavement
Dr. Huining Xu

E-Mail Website
Guest Editor
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
Interests: asphalt mixture; cold region; functional material; multiscale; snow melting pavement
Prof. Dr. Wei Jiang

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: asphalt materials; eco-friendly road material; functional road materials; intelligent road materials
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Feng Li

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Guest Editor
School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Interests: intelligent transportation infrastructure; vehicle-road coordination; road maintenance; pavement intelligent detection technology; deep space transportation infrastructure intelligent construction
Dr. Quantao Liu

E-Mail Website
Guest Editor
State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan 430070, China
Interests: pavement maintenance; asphalt concrete; self-healing; multi-cavity capsules
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xingyi Zhu

E-Mail Website
Guest Editor
Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 200092, China
Interests: smart pavement materials; multi-scale modeling

Special Issue Information

Dear Colleagues,

The functionalization and intelligence of transportation infrastructure are the cornerstone of future traffic with safety, intelligence, and green and shared development. There are some hot research technical directions in the development of contemporary highway transportation to meet the major needs of future transportation development. These include, in the direction of functional materials, the research and development of new pavement materials and structures with self-heating, self-melting snow, self-energy harvesting, and self-sensing suitable for different environments and vehicle operation scenes; and in the direction of intelligent sensing pavement, research and development of multidimensional intelligent sensing systems for pavement and evaluation methods of pavement service performance. These research technical directions have great and far-reaching significance for the essential improvement of transportation infrastructure service levels and the development of international transportation.

The topics of interest include but are not limited to the following:

  • Reviews and summaries of the latest achievements in the field of functional materials and intelligent sensing pavement, and discussion around future research directions and development;
  • Development and design methods for self-heating/self-cooling/self-snow melting pavement materials;
  • Self-sensing pavement and its supporting sensing system technology;
  • Self-healing pavement and its diagnosis system technology;
  • Evaluation methods of service performance of functional pavement;
  • Self-energy harvesting pavement and its energy conversion system technology;
  • Environmentally friendly pavement materials and structure;
  • Development of self-cleaning pavement materials and their service performance;
  • Development and establishment of multidimensional intelligent sensing system platforms for pavement;
  • Processing and analysis method of massive data of intelligent sensing pavement.

Prof. Dr. Yiqiu Tan
Dr. Huining Xu
Prof. Dr. Wei Jiang
Prof. Dr. Feng Li
Dr. Quantao Liu
Prof. Dr. Xingyi Zhu
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

  • pavement engineering
  • functional materials
  • intelligent sensing pavement
  • multiscale evaluation
  • data processing

Published Papers (3 papers)

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Research

18 pages, 3554 KiB  
Article
Calibration of Inverted Asphalt Pavement Rut Prediction Model, Based on Full-Scale Accelerated Pavement Testing
by Zhenqiang Han, Aimin Sha, Liqun Hu and Wei Jiang
Materials 2023, 16(2), 814; https://doi.org/10.3390/ma16020814 - 13 Jan 2023
Cited by 4 | Viewed by 1126
Abstract
This study investigates the establishment and calibration method of the rut depth (RD) prediction model of inverted asphalt pavements (IAPs), based on full-scale accelerated pavement testing (APT), which facilitates the accurate and reliable design or maintenance of IAPs. A power function is adopted [...] Read more.
This study investigates the establishment and calibration method of the rut depth (RD) prediction model of inverted asphalt pavements (IAPs), based on full-scale accelerated pavement testing (APT), which facilitates the accurate and reliable design or maintenance of IAPs. A power function is adopted for the prediction model construction of the rut progression before the failure stage, based on the typical permanent deformation progression curve of flexible pavements. The APT loading history is divided into units, according to the difference in physical conditions, providing the basis for a cumulative RD analysis and model calibration. The nonlinear incremental recursive (IR) principle is applied in the RD analysis to consider the influence of the nonlinear material property, performance deterioration, and loading history on the RD development. Further, the rut shift function relating prediction models obtained from laboratory tests and full-scale APT is established to introduce the APT data in the calibration process. Accordingly, the mechanistic-empirical RD prediction model calibration method, based on APT and the IR principle, is proposed and applied in a case study of a IAP RD prediction model calibration. Four 3.5 m × 4 m IAP test sections S1–S4 are constructed and instrumented and 700,000- and 900,000-wheel loads are applied on test sections S1–S2 and S3–S4, respectively, using the heavy vehicle simulator. The test data from the different APT load units are utilized for the model calibration, and the resultant prediction errors range from −2.16 mm to 1.18 mm. The calibrated model can also be used for the RD prediction of IAPs with other design schemes, by updating the corresponding material-related coefficients and the finite element model, which is essential for the design and maintenance of IAPs. The proposed calibration method could be a useful reference for the establishment of flexible pavement performance prediction models. Full article
(This article belongs to the Special Issue Innovative Road Materials and Pavement Design—Functional Materials and Intelligent Sensing Pavement)
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18 pages, 5276 KiB  
Article
Self-Healing Properties of Asphalt Concrete with Calcium Alginate Capsules Containing Different Healing Agents
by Huoming Wang, Miao Yuan, Jie Wu, Pei Wan and Quantao Liu
Materials 2022, 15(16), 5555; https://doi.org/10.3390/ma15165555 - 12 Aug 2022
Cited by 6 | Viewed by 1366
Abstract
Calcium alginate capsules encapsulating rejuvenator are a promising self-healing technology for asphalt pavement, but the effects of different healing agents on the self-healing performance of asphalt concrete has not been considered. In view of this, this paper aimed at exploring the effects of [...] Read more.
Calcium alginate capsules encapsulating rejuvenator are a promising self-healing technology for asphalt pavement, but the effects of different healing agents on the self-healing performance of asphalt concrete has not been considered. In view of this, this paper aimed at exploring the effects of calcium alginate capsules containing different healing agents on the self-healing properties of asphalt concrete. Three types of capsules with sunflower oil, waste cooking oil and commercial rejuvenator were fabricated via the orifice-coagulation bath method and the interior structure, mechanical strength, thermal stability and oil content of the prepared capsules were characterized. The healing levels of asphalt mixtures with different capsules under different loading cycles and stress levels were evaluated. Furthermore, the saturates, aromatics, resins and asphaltenes (SARA) fractions and rheological property of extracted asphalt binder within test beams with different capsules after different loading conditions were assessed. The results indicated that all the three types of capsules meet the mechanical and thermal requirement of mixing and compaction of asphalt mixtures. The healing levels of test beams containing vegetable oil capsules were higher than that of waste cooking oil capsules and industrial rejuvenator capsules. The strength recovery ratio and fracture energy recovery ratio of test beams with vegetable oil capsules reached 82.8% and 96.6%, respectively, after 20,000 cycles of compressive loading at 1.4 MPa. The fracture energy recovery ratio of the waste cooking oil capsules also reached as high as 90%, indicating that waste cooking oil can be used as the healing agent of calcium alginate capsules to improve the self-healing property of asphalt mixture. This work provides a significant guide for the selection of healing agent for self-healing capsules in the future. Full article
(This article belongs to the Special Issue Innovative Road Materials and Pavement Design—Functional Materials and Intelligent Sensing Pavement)
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20 pages, 8668 KiB  
Article
Effect of Ageing on Self-Healing Properties of Asphalt Concrete Containing Calcium Alginate/Attapulgite Composite Capsules
by Xin Yu, Quantao Liu, Pei Wan, Jiangkai Song, Huan Wang, Feiyang Zhao, Yafei Wang and Jinyi Wu
Materials 2022, 15(4), 1414; https://doi.org/10.3390/ma15041414 - 14 Feb 2022
Cited by 15 | Viewed by 1803
Abstract
Calcium alginate capsules within asphalt concrete can gradually release interior asphalt rejuvenator under cyclic loading to repair micro cracks and rejuvenate aged asphalt in-situ. However, asphalt pavement will become aged due to environmental and traffic factors during the service period. In view of [...] Read more.
Calcium alginate capsules within asphalt concrete can gradually release interior asphalt rejuvenator under cyclic loading to repair micro cracks and rejuvenate aged asphalt in-situ. However, asphalt pavement will become aged due to environmental and traffic factors during the service period. In view of this, this paper investigated the effect of ageing on the healing properties of asphalt concrete containing calcium alginate/attapulgite composite capsules under cyclic loading. The capsules were fabricated using the orifice-bath method and the morphological structure, mechanical strength, thermal stability, oil release ratios and healing levels of capsules in fresh, short-term ageing and long-term ageing asphalt concrete were explored. The results indicated that the different ageing treatments would not damage the multi-chamber structure nor decrease the mechanical strength of capsules but would induce the capsules release oil prematurely. The premature oil released from capsules in turn can offset the ageing effect owing to ageing treatment. The short-term ageing and long-term ageing plain asphalt mixtures gained strength recovery ratios of 39.3% and 34.2% after 64,000 cycles of compression loading, while the strength recovery ratios of short-term ageing and long-term ageing asphalt mixtures containing capsules were 63.5% and 54.8%, respectively. Full article
(This article belongs to the Special Issue Innovative Road Materials and Pavement Design—Functional Materials and Intelligent Sensing Pavement)
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