Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.4
3.1
Journals
Buildings
Special Issues
Advanced Techniques in Smart Road Construction and Maintenance: Multi-Scale Characterization...
share announcement

Advanced Techniques in Smart Road Construction and Maintenance: Multi-Scale Characterization and Real-Time Performance Evaluation

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Materials, and Repair & Renovation".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1731

Special Issue Editors

Prof. Dr. Songtao Lv

E-Mail Website
Guest Editor
School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China
Interests: long-life pavement structure design theory and methods; high-performance pavement materials; pavement service performance; pavement digital twins; intelligent road construction and maintenance
Special Issues, Collections and Topics in MDPI journals
Dr. Xinghai Peng

E-Mail Website
Guest Editor
National Engineering Research Center of Highway Maintenance Technology, Changsha University of Science and Technology, Changsha 410114, China
Interests: Long-term performance of asphalt pavement; fatigue performance; reclaimed asphalt pavement; bio-oil modified asphalt; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart roads represent new infrastructure that integrates traditional roads with next-generation information technologies. The growing demand for smart and safe travel presents new challenges for road infrastructure. Throughout the service life of asphalt pavements, factors such as construction quality, traffic loads, and environmental conditions complicate the accurate extraction and integration of performance data. These complex service environments also affect the behavior of asphalt pavements, reducing their lifespan and potentially leading to functional degradation.

Advanced technologies are essential for characterizing the performance of asphalt pavements and understanding their evolution under complex conditions. Enhancing the resistance of pavement materials to these challenges is crucial. Moreover, accurate condition monitoring and real-time performance evaluation are key to ensuring long-term road serviceability. This Special Issue aims to explore how multi-scale technologies and intelligent methods can analyze the properties of bitumen and asphalt materials, optimize road design, and enable real-time diagnostics, providing essential support for smart road development.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but need not be limited to) the following:

  • Intelligent road design and construction;
  • Multi-scale analysis of bitumen and asphalt mixtures;
  • Smart and multifunctional asphalt mixtures;
  • Real-time diagnosis and evaluation;
  • Advanced testing technologies for bitumen and asphalt mixtures;
  • Embedded sensing systems;
  • Service performance of asphalt pavement.

We look forward to receiving your contributions.

Prof. Dr. Songtao Lv
Dr. Xinghai Peng
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. Buildings 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

  • intelligent road construction
  • multifunctional pavement
  • real-time diagnosis and evaluation
  • environmentally friendly materials
  • polymer-modified asphalt
  • smart materials and structure
  • multi-source data fusion
  • embedded sensing systems
  • long-life pavement structure
  • numerical simulation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

20 pages, 20052 KiB  
Article
Performance Comparison of Different Types of Anti-UV Aging Agents in Modified Asphalt
by Zhengwei He, Dongdong Ge, Jianping Xian, Qian Liu, Xingyu Hu, Zihao Ju and Songtao Lv
Buildings 2025, 15(3), 360; https://doi.org/10.3390/buildings15030360 - 24 Jan 2025
Viewed by 415
Abstract
There are many types of asphalt anti-UV aging agents, and the differences in their UV resistance mechanisms result in varying degrees of UV aging resistance. This study utilized three types of anti-UV aging agents to modify asphalt. These include a UV reflector (TiO [...] Read more.
There are many types of asphalt anti-UV aging agents, and the differences in their UV resistance mechanisms result in varying degrees of UV aging resistance. This study utilized three types of anti-UV aging agents to modify asphalt. These include a UV reflector (TiO2), a hindered amine light stabilizer (HALS, LS770), and a UV absorber (UV326). The contents were 0.5%, 1%, and 1.5%. When the dosages of TiO2, LS770, and UV326 were 1.5%, the rutting factors of the modified asphalt at 64 °C increased by 61.18%, 43.54%, and 34.18%, respectively. As the dosage of LS770 and TiO2 increased, the rutting factor of the modified asphalt was gradually enhanced. However, the rutting factor of UV326-modified asphalt did not gradually increase with an increasing dosage of UV326. The recommended content of TiO2 and UV326 was 0.5%, at which the rutting factor aging index (RFAI) was approximately 75%. The recommended dosage of LS770 was 1%, at which the RFAI was only 35.23%. Compared to TiO2 and UV326, LS770 exhibited superior UV aging resistance. FM test results indicated that the fluorescent substance did not produce agglomeration in the modified asphalt. TiO2, LS770, and UV326 were well dispersed throughout the asphalt. The carbonyl and carboxyl aging indexes of UV-aged LS770-1% (LS770 dosage is 1%) were lower than those of UV-aged TiO2-0.5% and UV-aged UV326-0.5%. The anti-UV agents effectively protected the asphalt’s structure, reducing surface degradation and preserving its integrity under prolonged UV exposure. The microscopic morphology of anti-UV aging agent-modified asphalt aligns closely with the conclusions drawn from rheological behavior results, indicating that LS770-1% provides excellent UV aging resistance. Full article
(This article belongs to the Special Issue Advanced Techniques in Smart Road Construction and Maintenance: Multi-Scale Characterization and Real-Time Performance Evaluation)
►▼ Show Figures

Figure 1

17 pages, 5429 KiB  
Article
Experimental Investigation and Analysis of the Influence of Depth and Moisture Content on the Relationship Between Subgrade California Bearing Ratio Tests and Cone Penetration Tests for Pavement Design
by Ricardo Moffat, Felipe Faundez and Felipe A. Villalobos
Buildings 2025, 15(3), 345; https://doi.org/10.3390/buildings15030345 - 23 Jan 2025
Viewed by 340
Abstract
Evaluation of soil properties in highway design is an important but time-consuming task that does not always provide the necessary information to detect issues associated with changes in soil properties along the road project. California Bearing Ratio (CBR) tests are commonly used to [...] Read more.
Evaluation of soil properties in highway design is an important but time-consuming task that does not always provide the necessary information to detect issues associated with changes in soil properties along the road project. California Bearing Ratio (CBR) tests are commonly used to identify soil properties and as an input in pavement design; however, it could be considered a slow test and, therefore, not always performed to the extent that it may be desired on the field. A comparison between CPT and CBR is performed in this work to obtain a correlation between them to be used in design. The effects of moisture content are also investigated in CPT and CBR to determine which conditions should be tested to obtain representative or design conditions for the pavement. A good correlation is found between CPT tip resistance and in situ CBR. It is observed that CBR and cone tip resistance change significantly for moisture contents up to 30 to 40%. It was found that tip resistance should be evaluated at a depth of 20 cm inside the subgrade to estimate adequate CBR values. Full article
(This article belongs to the Special Issue Advanced Techniques in Smart Road Construction and Maintenance: Multi-Scale Characterization and Real-Time Performance Evaluation)
►▼ Show Figures

Figure 1

17 pages, 4110 KiB  
Article
Optimization Design of Cotton-Straw-Fiber-Modified Asphalt Mixture Performance Based on Response Surface Methodology
by Guihua Hu, Xiaowei Chen, Zhonglu Cao and Lvzhen Yang
Buildings 2024, 14(11), 3670; https://doi.org/10.3390/buildings14113670 - 18 Nov 2024
Viewed by 664
Abstract
This research explored the application of cotton straw fiber in asphalt mixtures, aiming to optimize the asphalt mixtures’ performance. Firstly, 17 experiments were designed using Response Surface Methodology (RSM). Subsequently, the Box–Behnken Design (BBD) was used to examine how the asphalt content, fiber [...] Read more.
This research explored the application of cotton straw fiber in asphalt mixtures, aiming to optimize the asphalt mixtures’ performance. Firstly, 17 experiments were designed using Response Surface Methodology (RSM). Subsequently, the Box–Behnken Design (BBD) was used to examine how the asphalt content, fiber length, and cotton straw fiber content interacted to affect the modified asphalt mixes’ pavement performance. Based on the experimental findings, performance prediction models were created to direct optimization. The optimized design was then validated through pavement performance tests and bending fatigue tests. The findings revealed that cotton straw fiber content, length, and asphalt content significantly influence the performance of modified asphalt mixtures. The inclusion of cotton straw fibers enhanced various properties of the mixtures. When the fiber content was set at 0.3%, fiber length at 6 mm, and asphalt content at 5.3%, the response indicators, including Marshall stability, dynamic stability, flexural strength, and freeze–thaw strength ratio, were measured at 12.246 kN, 2452.396 times/mm, 12.30 MPa, and 92.76%, respectively. These results indicate that the cotton-straw-fiber-modified asphalt mixture achieved optimal performance while meeting regulatory requirements. Additionally, fatigue tests showed that the cotton-straw-fiber-modified asphalt mixture exhibited superior fatigue resistance compared with the SBS-modified asphalt mixture. The maximum error between the RSM predictions and the experimental measurements was within 10%, demonstrating the accuracy of the predictive models in estimating the impact of different factors on asphalt mixture performance. The application of RSM in designing and optimizing cotton-straw-fiber-modified asphalt mixtures proved to be highly effective, offering valuable insights for utilizing cotton straw fibers in road construction. Full article
(This article belongs to the Special Issue Advanced Techniques in Smart Road Construction and Maintenance: Multi-Scale Characterization and Real-Time Performance Evaluation)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop