Prediction of critical responses in full-depth asphalt pavements using the falling weight deflectometer deflection basin parameters

Park, Bongsuk; Cho, Seonghwan; Rahbar-Rastegar, Reyhaneh; Nantung, Tommy; Haddock, John E.

doi:10.1016/j.conbuildmat.2021.126019

Cited by 12 publications

(14 citation statements)

References 22 publications

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“…Based on these findings, it is concluded that the critical strain prediction models developed by Park et al (14) have been successfully validated using field-measured strains and may therefore be used for in-service full-depth asphalt pavements to conduct structural evaluations. Since the model without SC only requires FWD deflection data without structural inputs, it may be appropriate for use in network-level PMS.…”

Section: Discussionmentioning

confidence: 89%

“…The critical strain prediction models developed by Park et al ( 14 ) allow the prediction of two critical strains, the transverse tensile strain at the bottom of the asphalt layer and the vertical compressive strain at the top of the subgrade. Depending on the availability of structural information, there are two options for each strain type: (i) the model without structural coefficients (SC) and (ii) the model with SC.…”

Section: Critical Strain Prediction Modelsmentioning

confidence: 99%

“…The key structural parameters are asphalt base thickness and the elastic moduli of the asphalt surface, intermediate, and base layers, and the subgrade layer. According to the parametric study performed during the model development stage ( 14 ), these parameters exhibit a strong correlation with critical strains. In practice, the asphalt base layer thickness can be measured by ground penetrating radar (GPR) and the four elastic moduli obtained by the back-calculation methods using FWD deflection data.…”

Section: Critical Strain Prediction Modelsmentioning

confidence: 99%

“…Recently, Park et al ( 14 ) developed critical strain prediction models by considering a more realistic structure of full-depth asphalt pavements. They simulated a full-depth asphalt pavement with three asphalt layers using FE analyses to establish the database, while other researchers used a single asphalt layer.…”

Section: Introductionmentioning

confidence: 99%

“…Since a full-depth asphalt pavement is constructed by three to five asphalt layers with varying asphalt mixture properties, the use of three asphalt layers allowed the inclusion of more realistic pavement structures. Park et al ( 14 ) proposed two prediction models for each critical strain type, depending on the availability of structural information. The first model only requires FWD DBPs (area under pavement profile [AUPP] for transverse tensile strain at the bottom of the asphalt layer and the BDI for vertical compressive strain at the top of the subgrade), and the second model uses additional structural parameters, including layer thickness and back-calculated layer moduli.…”

Section: Introductionmentioning

confidence: 99%

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Field Validation of Falling Weight Deflectometer Deflection-Based Critical Strain Prediction Models for Full-Depth Asphalt Pavements

Park

Cho

Nantung

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Critical strains are one of the most reliable mechanistic parameters representing the structural capacity of flexible pavements. However, critical strains are currently not considered in pavement management systems (PMS) because of a lack of methodology for measuring critical strains in in-service pavements. Recently, critical strain prediction models have been developed by the Indiana Department of Transportation and Purdue University research team to estimate the critical strains of existing full-depth asphalt pavements using falling weight deflectometer (FWD) data. Even though the accuracy of these models was verified with finite element (FE) analyses, additional field validation is needed before incorporating the model results into PMS. This study focuses on validation of these previously developed critical strain prediction models using field-measured strains. Nine field sections, representing typical full-depth asphalt pavements in Indiana, were selected for study inclusion. FWD testing was conducted on the field sections and field cores were collected. Field strains were measured by a strain gauge or were determined by FE analysis using the material properties obtained from the field cores. Based on the comparative analysis, the critical strain prediction models were successfully validated with strains measured from the field. The coefficients of determination were up to 0.98 for the transverse tensile strain at the bottom of the asphalt layer and 0.93 for the vertical compressive strain at the top of the subgrade. Therefore, it is concluded that the critical strain prediction models can be used to estimate critical strains of in-service full-depth asphalt pavements for structural evaluation of PMS.

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Section: Discussionmentioning

confidence: 89%

Section: Critical Strain Prediction Modelsmentioning

confidence: 99%

Section: Critical Strain Prediction Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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