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Article

Pavement Quality Index Rating Strategy Using Fracture Energy Analysis for Implementing Smart Road Infrastructure

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Civil Engineering Department, Faculty of Science and Engineering Technology, Ibika Campus, Walter Sisulu University, Eastern Cape 4960, South Africa
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Sustainable Transportation Research Group (STRg), Civil Engineering Department, College of Agriculture, Engineering and Science, Howard College Campus, University of Kwa-Zulu Natal, KwaZulu-Natal 4041, South Africa
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Centre for Sustainable Smart Cities, Department of Built Environment, Faculty of Engineering, Built Environment and Information Technology, Willows, Central University of Technology, Bloemfontein 9300, South Africa
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Civil Engineering Department, School of Engineering and Technology, Birmingham, Aston University, Birmingham B4 7ET, UK
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Author to whom correspondence should be addressed.
Academic Editor: Amir H. Alavi
Sensors 2021, 21(12), 4231; https://doi.org/10.3390/s21124231
Received: 29 March 2021 / Revised: 26 April 2021 / Accepted: 28 April 2021 / Published: 20 June 2021
(This article belongs to the Section Communications)
Developing a responsive pavement-management infrastructure system is of paramount importance, accentuated by the quest for sustainability through adoption of the Road Traffic Management System. Technological advances have been witnessed in developed countries concerning the development of smart, sustainable transportation infrastructure. However, the same cannot be said of developing countries. In this study, the development of a pavement management system at network level was examined to contribute towards a framework for evaluating a Pavement Quality Index and service life capacity. Environmental surface response models in the form of temperature and moisture variations within the pavement were applied, using sensor devices connected to a data cloud system to carry out mathematical analysis using a distinctive mesh analysis deformation model. The results indicated variation in the Resilient Modulus of the pavement, with increasing moisture content. Increase in moisture propagation increased saturation of the unbound granular base which reduced the elastic modulus of the sub-base and base layer and reduced the strength of the pavement, resulting in bottom-up cracks and cracking failure. The horizontal deformation reduced, indicating that the material was experiencing work hardening and further stress would not result in significant damage. Increasing temperature gradient resulted in reduced stiffness of the asphalt layer. In tropical regions, this can result in rutting failure which, over time, results in top-down cracks and potholes, coupled with increasing moisture content. View Full-Text
Keywords: pavement durability; smart roads infrastructure; pavement quality index; pavement management system pavement durability; smart roads infrastructure; pavement quality index; pavement management system
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MDPI and ACS Style

Abejide, S.; Mostafa, M.M.H.; Das, D.; Awuzie, B.; Rahman, M. Pavement Quality Index Rating Strategy Using Fracture Energy Analysis for Implementing Smart Road Infrastructure. Sensors 2021, 21, 4231. https://doi.org/10.3390/s21124231

AMA Style

Abejide S, Mostafa MMH, Das D, Awuzie B, Rahman M. Pavement Quality Index Rating Strategy Using Fracture Energy Analysis for Implementing Smart Road Infrastructure. Sensors. 2021; 21(12):4231. https://doi.org/10.3390/s21124231

Chicago/Turabian Style

Abejide, Samuel, Mohamed M.H. Mostafa, Dillip Das, Bankole Awuzie, and Mujib Rahman. 2021. "Pavement Quality Index Rating Strategy Using Fracture Energy Analysis for Implementing Smart Road Infrastructure" Sensors 21, no. 12: 4231. https://doi.org/10.3390/s21124231

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