1. Enhancing Hamburg Wheel Tracking Test Analysis: A Novel Energy-Based Performance Index.
- Author
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Rachman, Aulia, Yang, Shih-Hsien, Nguyen, Minh-Nhut, and Rachman, Firmansyah
- Subjects
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MATHEMATICAL functions , *RESEARCH personnel , *DATA analysis , *MOISTURE , *PAVEMENTS - Abstract
Rutting and moisture damage are the most common distress types in the pavement; therefore, agencies have adopted performance tests such as the Hamburg wheel tracking test (HWTT) to specify and screen the asphalt concrete rutting performance, following the AASHTO T324 standard. Many studies have shown that the AASHTO parameters can be used to characterize and rank the performance of asphalt mixes. Additionally, researchers proposed new analysis methods and performance parameters to provide a more systematic approach to analyzing the HWTT results. However, some of these performance parameters are determined subjectively by the operator, which may result in ambiguous values, preventing agencies from adopting them in the specification. On top of that, it is also unclear whether each analysis method or the performance parameters can universally distinguish the rutting performance when applied to various HWTT results. Thus, this study investigates the feasibility of different HWTT analysis methods among the performance parameters. 61 HWTT results from various material combinations were analyzed using three different data analysis approaches and calculating the performance parameters. The result showed that the current analysis methods and parameters have certain limitations in analyzing HWTT results. Therefore, a performance parameter, namely the Hamburg performance index (HPI), was introduced, incorporating the number of passes, maximum rut depth, and rut path history into one parameter. It was found that the HPI can resolve the limitation encountered by other analysis approaches and significantly improve the accuracy of distinguishing a mix's rutting and moisture resistance. [Display omitted] • The original Hamburg data analysis method was shown to create ambiguous results. • HWTT mathematical function curve-fitting results lead to a performance prediction error. • A new HWTT result analysis method was proposed. • The proposed parameter (HPI) can evaluate and distinguish HWTT results accurately. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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