Evaluation of different analysis approaches for Hamburg Wheel-Tracking testing (HWTT) data

Giwa, Ilerioluwa; Sadek, Husam; Zaremotekhases, Farah

doi:10.1016/j.conbuildmat.2021.122420

Cited by 10 publications

(5 citation statements)

References 25 publications

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“…Because different equations are optimized differently, anything predicted (in this case SIP) using these different solutions is also different. The discrepancies among different model-predicted SIP values are reported in literature ( 23, 24 ). To substantiate this inference, all three mathematical rutting models were applied to fit the HWTT data of mixture-43.…”

Section: Evaluation Of Existing Methodologymentioning

confidence: 91%

“…Next, the second derivative of the original equation is used to determine the SIP. (23,24). To substantiate this inference, all three mathematical rutting models were applied to fit the HWTT data of mixture-43.…”

Section: Mathematical Modelsmentioning

confidence: 99%

“…If the fitting quality is poor, it is expected to get erroneous prediction from the model. There is a noticeable discrepancy among these models' predicted SIP values reported in the literature (23,24). Because SIP is essential to separate the creep and stripping deformations accurately, any error value of SIP can lead to misestimates in the creep and stripping performance parameters.…”

mentioning

confidence: 99%

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Simple Robust Method for Analyzing Hamburg Wheel Tracking Test Data

Hasan

Bairgi

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Though the Hamburg wheel tracking test (HWTT) is adopted by AASHTO for characterizing both rutting and stripping performance of an asphalt concrete mixture, the final rut depth or rut depth at certain loading cycle is the most common reporting parameter that is used by most of the state agencies. The probable reason for this situation is the human subjectivity associated with American Association of State Highway and Transportation Officials (AASHTO) procedure. Rutting and stripping are characteristically two different types of damage evolved from two different damage mechanisms. The final rut depths of two different mixtures can result from two different combinations of rutting and stripping damages. Thus, the direct comparison of final rut depth between these two mixtures is impractical. Though there are some mathematical models proposed by researchers to overcome this limitation, this study found that these models have reliability and robustness issues. To this end, this study developed a simple, reliable, and robust method to analyze HWTT data by accurately differentiating the rutting and stripping damage contributions from the cumulative rut-depth plot. A total of 48 different mixtures’ HWTT data were used to evaluate the accuracy of the method. The developed method is found to be more accurate and robust than the existing models.

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Section: Evaluation Of Existing Methodologymentioning

confidence: 91%

Section: Mathematical Modelsmentioning

confidence: 99%

mentioning

confidence: 99%

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Simple Robust Method for Analyzing Hamburg Wheel Tracking Test Data

Hasan

Bairgi

et al. 2022

Transportation Research Record: Journal of the Transportation R

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“…In the first step, the HWTD test was conducted on the collected mixes to evaluate the rutting and moisture susceptibility in accordance with AASHTO T324 ( 8 ) test standard. The HWTD test results were then fitted with the Franken model to determine the regression coefficients associated with the model.…”

Section: Methodsmentioning

confidence: 99%

“…Stripping (moisture damage) of AC pavement indicates an adhesive fracture between the asphalt binder and the aggregate, causing visible damage such as stripping or raveling ( 1 – 3 ). The laboratory Hamburg Wheel Tracking Device (HWTD) test has gained popularity in the asphalt community for evaluating the rutting and stripping potential of asphalt mix owing to its ability to simulate traffic load and its reasonable correlation with field performance ( 4 – 8 ). The rutting performance of a mix is described by a curve of rut deformation versus the number of wheel passes, which has three distinct stages.…”

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confidence: 99%

New Model for Predicting Rutting Performance of Superpave Asphalt Mixes

Hasan

Tarefder

2022

Transportation Research Record: Journal of the Transportation R

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This study presents a new model for predicting rutting performance and stripping characteristics of Superpave asphalt concrete (AC) mixes from laboratory Hamburg Wheel Tracking Device (HWTD) test data. A total of 33 AC mixes were used and tested for HWTD to determine the rutting and stripping susceptibility of the mixes. The combined Franken–power approach was used to fit the rut data. The pertinent regression coefficients were then correlated to the mix’s physical and volumetric properties, that is, binder grade, reclaimed asphalt pavement content, effective asphalt content, voids in mineral aggregate, and aggregate gradation. A logistic regression analysis was employed in the model to capture the stripping characteristic of the mixes. The developed model was validated with a new set of HWTD test data. The model was observed to be capable of predicting the rutting and stripping characteristics of the AC mixes, which agreed reasonably well with laboratory test results. Therefore, the proposed model could be used for mix screening purposes at the mix design stage to avoid the significant consequences of failure in the field, and as a tool to determine rutting performance when laboratory testing is not feasible.

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