Pavement Preservation Strategies

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 6666

Special Issue Editor


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Guest Editor
Center for Transportation Research and Education (CTRE), Institute for Transportation (InTrans), Iowa State University, Ames, IA 50011, USA
Interests: sustainable horizontal infrastructure systems; transportation infrastructure; intelligent transportation systems (ITS); construction materials
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Special Issue Information

Dear Colleagues,

Road infrastructure is a nation's most valued asset in the path towards economic prosperity, and societies overwhelmingly depend on road transportation for their most vital operations. Due to road transportation's critical role in upkeeping society's dynamism and quality of life, it is of utmost importance that nations maintain and preserve their transportation infrastructure in good service condition. The delayed or inadequate maintenance of single transportation assets, e.g., pavements, can accelerate the entire network's deterioration. Adopting systematic maintenance strategies is imperative for the efficient and sustainable management of transportation assets. Pavements are the largest single asset and one of the most resource-intensive assets in the transportation infrastructure, so the importance of pavement preservation and maintenance cannot be overstated. Pavement management systems (PMSs) have been exclusively developed to support decision with regard to pavement construction and maintenance. The pavement preservation strategies and techniques, adopted as part of an overall PMS, have a significant influence on the roads' quality and service life. This Special Issue aims to help the research community cultivate a deeper understanding of pavement preservation strategies. To this end, we encourage researchers to share their research results related to the decision-making and implementation aspects of pavement preservation. The topics of interest include, but are not limited to:

  • Data-driven methods and tools for pavement management, such as performance prediction techniques, big data analytics, life-cycle cost analysis (LCCA), sustainability analysis, automated asset identification, and data management.
  • Pavement condition assessment methods, especially the automated distress assessment techniques.
  • Repair and rehabilitation techniques for Portland cement concrete (PCC) and asphalt cement concrete (ACC) pavements.
  • Materials and methods to improve the durability and extend the service life of pavements. We welcome original research or review articles with a clear application focus in these areas.

Dr. Alireza Sassani
Guest Editor

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Keywords

  • transportation infrastructures
  • pavement management system (PMS)
  • asset management
  • preservation
  • rehabilitation
  • maintenance
  • condition assessment

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Published Papers (2 papers)

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Research

20 pages, 33721 KiB  
Article
Mechanistic Analysis of Asphalt Pavements in Support of Pavement Preservation Decision-Making
by Konstantinos Gkyrtis, Christina Plati and Andreas Loizos
Infrastructures 2022, 7(5), 61; https://doi.org/10.3390/infrastructures7050061 - 20 Apr 2022
Cited by 17 | Viewed by 3625
Abstract
Modern roadways provide road users with a comfortable and safe ride to their destinations. Due to increasing traffic demands and maximum allowable loads, road authorities should also pay attention to the structural soundness of road pavements while seeking cost-effective and timely maintenance or [...] Read more.
Modern roadways provide road users with a comfortable and safe ride to their destinations. Due to increasing traffic demands and maximum allowable loads, road authorities should also pay attention to the structural soundness of road pavements while seeking cost-effective and timely maintenance or minor rehabilitation activities. This means that a sustainable pavement preservation strategy is needed that includes an optimal pavement condition assessment to support the appropriate decision-making processes. To address this need, this research study proposes an approach to integrate Non-Destructive Testing (NDT) data and ground truth data to predict the long-term performance of flexible pavements. Appropriate mechanistic models that take into account the nature of Asphalt Concrete (AC) materials are used for the analysis to increase the accuracy of the results when it comes to protecting and extending pavement life. The results indicated that examining viscoelastic behavior for AC appears to be a more conservative approach for the response analysis, as well as the fatigue performance analysis, compared to the most conventional assumptions for linear elastic materials. In accordance with common sense, AC temperature was considered as a critical factor for the related investigation. Overall, it may not be a good and reliable practice to continue the process of pavement management and maintenance decisions based on the approach of only one analysis type. Full article
(This article belongs to the Special Issue Pavement Preservation Strategies)
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14 pages, 4556 KiB  
Article
Novel Damage Index-Based Rapid Evaluation of Civil Infrastructure Subsurface Defects Using Thermography Analytics
by Tianjie Zhang, Md Asif Rahman, Alex Peterson and Yang Lu
Infrastructures 2022, 7(4), 55; https://doi.org/10.3390/infrastructures7040055 - 8 Apr 2022
Cited by 3 | Viewed by 2279
Abstract
The qualitative measurement is a common practice in infrastructure condition inspection when using Infrared Thermography (IRT), as it can effectively locate the defected area non-destructively and non-contact. However, a quantitative evaluation becomes more significant because it can help decision makers figure out specific [...] Read more.
The qualitative measurement is a common practice in infrastructure condition inspection when using Infrared Thermography (IRT), as it can effectively locate the defected area non-destructively and non-contact. However, a quantitative evaluation becomes more significant because it can help decision makers figure out specific compensation plans to deal with defects. In this work, an IRT-based novel damage index, damage density, was proposed to quantify the significance of subsurface defects. This index is extracted from IR images using our thermography analytics framework. The proposed framework includes thermal image processing, defect edge detection, and thermal gradient map calculations. A modified root mean square error (mRMSE), which is a novel modification to the existing RMSE, was compared to evaluate the performance of image processing methods. The results show that the histogram equalization performs better than the other methods in the image processing part as the mRMSE is the lowest among them. The Pearson correlation coefficient between the developed index and the volume of subsurface defects is 0.94, which indicates a positive linear relationship between them. Thus, the proposed damage index can be used to guide the engineering practices and maintenance decisions for the subsurface determination in the civil infrastructure. Full article
(This article belongs to the Special Issue Pavement Preservation Strategies)
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