Pavement Distresses Due to Truck Platoons: A Holistic Analysis [supporting dataset]
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2023-09-05
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Abstract:Currently, AASHTOWare PMED does not contain a framework to compute distresses for loading scenarios like truck platoons. Truck platoons reduce fuel consumption and improve safety while increasing pavement damage because of a reduction in wander and rest period. The important parameters of truck platoons are wander, rest period, and penetration level. Unlike wander, the effect of reduced rest period on permanent deformation and platoon penetration level are not well documented. Rest period (i.e., truck spacing) is a critical parameter in platoons that can be controlled to reduce damage or to improve fuel savings. Unlike fatigue cracking, shorter rest periods resulted in lower permanent deformation through conventional repeated load triaxial testing. However, the test does not entail a representative load stress pulse because of moving loads. This study uses modified triaxial testing equipment to simulate different load pulses. Reduced triaxial compression was critical over the conventional load stress pulse. For all representative pulses, the effect of rest period was similar (i.e., increasing rest period increased permanent deformation). The researchers developed a framework to compute pavement distresses as a function of truck platoon parameters. Truck platoons distributed uniformly on sublanes resulted in the lowest damage, even lower than a conventional trucking operation. Truck spacing of 60 ft is optimal in terms of safety, as the difference in distresses were minimal compared to spacing at 18 ft.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2024-01-03. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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