期刊
SUSTAINABILITY
卷 15, 期 20, 页码 -出版社
MDPI
DOI: 10.3390/su152014848
关键词
traffic speed deflectometer; falling weight deflectometer; effective structural number; pavement management systems
Pavement deterioration models are crucial for predicting and maintaining road conditions. This study used Traffic Speed Deflectometer and Fast Falling Weight Deflectometer to evaluate and calibrate models for predicting pavement structural condition.
Pavement deterioration models provide the basis for predicting future changes in network conditions, estimating future funding needs, and determining the effectiveness and timing of maintenance and rehabilitation activities. Determining the accurate structural condition of pavements helps identify effective maintenance strategies which enhance the sustainability and service life of pavements. This study aimed to use the Traffic Speed Deflectometer (TSD) and Fast Falling Weight Deflectometer (FFWD) for project-level evaluation of pavements and use pavement properties to calibrate current models that help to predict the structural condition of pavements. Model parameters were calibrated to determine the effective structural number and tensile strains at the bottom of asphalt concrete for asphalt and composite pavements from TSD deflections. Tensile strains from the KENLAYER highlighted varied behaviors for composite pavements. A significant improvement in the calibration was observed for asphalt concrete pavements. While the TSD has higher daily operational costs than FWD, its per-mile cost is significantly lower, making it a viable choice for extensive coverage, even though the quantitative results might differ between the two devices.
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