Modeling Pavement Surface Deflections under Accelerated Pavement Testing Using the PCA Method
Publication: Journal of Construction Engineering and Management
Volume 147, Issue 12
Abstract
When subjected to traffic loading, one response mechanism of a pavement structure is to endure surface deflections. These surface deflections are a quantitative function of the pavement’s integrity and are often used for pavement structural condition and performance evaluation. In this paper, the principal component analysis (PCA) method was utilized to model the pavement surface deflections as a function of wheel load, wheel speed, number of load cycles, and temperature under accelerated pavement testing (APT) using the MLS30 device. The APT test site comprised typical flexible pavement structures with an asphalt surfacing layer, a base, and a subbase resting on the subgrade. The scope of work included indoor APT trafficking with the MLS30, surface deflection measurements, PCA model formulation, and data analysis. Among the surface deflection basin parameters evaluated, the maximum deflection and area factor exhibited the best correlation with temperature, registering a coefficient of correlation exceeding 90%. Overall, the study contributes to the literature enrichment through substantiation of the PCA as a potential analytical method for simulating and modeling the pavement surface deflections under moving wheel loads and fluctuating temperature conditions.
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Data Availability Statement
All data generated or analyzed during the study are included in the published paper.
Acknowledgments
The authors acknowledge the support provided by the research projects carried out at the request of the Federal Ministry of Transport and Digital Infrastructure, requested by the Federal Highway Research Institute, under research projects Nos. 04.0259/2012/NGB and FE88.0137/FE88.0138. The contents of this paper, which is not a standard nor a design/bidding document, reflect the views of the authors who are solely responsible for the facts and accuracy of the data presented herein and do not necessarily reflect the official views or policies of any agency or institute. Trade names were used solely for information purposes and not for product endorsement, advertisement, promotions, or certification.
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Published In
Journal of Construction Engineering and Management
Volume 147 • Issue 12 • December 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Feb 12, 2021
Accepted: Aug 24, 2021
Published online: Sep 29, 2021
Published in print: Dec 1, 2021
Discussion open until: Feb 28, 2022
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