United States Department of Transportation
i
Simplified Analysis Methods of TSD and FWD Data for Effective Pavement Preservation Program
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2023-06-01
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[PDF-9.42 MB]
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Abstract:Pavement evaluation is critical for determining proper and cost-effective surface treatments and allocation of limited funds and resources to maintain, rehabilitate and reconstruct flexible pavements. This study examined two nondestructive testing devices that are used to evaluate the structural capacity and integrity of highway pavements including the Falling Weight Deflectometer (FWD) and Traffic Speed deflectometer (TSD). The researchers conducted a theoretical parametric study to simulate the FWD and TSD loading and predict pavement performance. In addition, they examined and analyzed FWD and TSD deflection data from various test sections in Idaho. Furthermore, they explored the use of Artificial Intelligence (AI) to predict pavement performance and layers’ moduli using the FWD and TSD deflection measurements. The results demonstrated that there was a good correlation between pavement mechanical responses (e.g., vertical compressive strain at top of subgrade and tensile strain at the bottom of asphalt layer) and FWD and TSD deflection parameters. Furthermore, the predicted pavement distresses had a good correlation with the deflection basin parameters. The analysis of FWD and TSD field deflection data demonstrated a strong correlation between FWD and TSD field deflections and effective structural number for the field sections. There was a good agreement between the assessment of pavement conditions using FWD and TSD for most of field sections. The AI was found to be a powerful technique to model pavement performance and response. Based on the comprehensive analysis conducted in this study, the TSD can be effectively used at the network level to identify hot spots or sections with potential structural deficiency for further FWD analysis at the project level. This can optimize the time and resources of employing the FWD crew and reduce traffic interruption and improve the safety of FWD crew and motorists.
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