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Stiffness-Based Statistical Limits for Evaluating Low-Volume Road Network Using Light-Weight Deflectometer
Performance evaluation of low-volume road (LVR) at the network level is a daunting task that requires considerable time and resources due to a lack of robust and cost-effective techniques. This study primarily focused on developing an approach for establishing statistical limits in maximum allowable deflections (MADs) for a selected LVR network based on sample size estimation for each test station and estimating the stiffness values at the network level. A series of field and laboratory experimental investigations was performed using light-weight deflectometer (LWD) on selected pavement sections, categorized into four groups based on the multiple contracts with a distinct source of layer materials. Layer-wise LWD responses were captured at field and laboratory on 529 acceptance test stations and 49 calibration strips. The typical range of deflection values obtained from these test sections and calibration strips of all groups varies from 0.040 to 0.359 mm and 0.046 to 0.365 mm. Statistical analysis in terms of ANOVA and descriptive estimates was carried out for the captured deflection values. The sample size for test locations of each test station was calibrated from three to seven to minimize the significant variation among population and sample mean. Further, the computed Z-scores were considered for calculating MAD values of each layer in a group. The MAD values suggested for the selected network can compare with the measured deflection at individual test stations to identify the maintenance requirements. Thus, this study proposes a quick and robust performance evaluation and quality control mechanism to substitute conventional practices.
Stiffness-Based Statistical Limits for Evaluating Low-Volume Road Network Using Light-Weight Deflectometer
Performance evaluation of low-volume road (LVR) at the network level is a daunting task that requires considerable time and resources due to a lack of robust and cost-effective techniques. This study primarily focused on developing an approach for establishing statistical limits in maximum allowable deflections (MADs) for a selected LVR network based on sample size estimation for each test station and estimating the stiffness values at the network level. A series of field and laboratory experimental investigations was performed using light-weight deflectometer (LWD) on selected pavement sections, categorized into four groups based on the multiple contracts with a distinct source of layer materials. Layer-wise LWD responses were captured at field and laboratory on 529 acceptance test stations and 49 calibration strips. The typical range of deflection values obtained from these test sections and calibration strips of all groups varies from 0.040 to 0.359 mm and 0.046 to 0.365 mm. Statistical analysis in terms of ANOVA and descriptive estimates was carried out for the captured deflection values. The sample size for test locations of each test station was calibrated from three to seven to minimize the significant variation among population and sample mean. Further, the computed Z-scores were considered for calculating MAD values of each layer in a group. The MAD values suggested for the selected network can compare with the measured deflection at individual test stations to identify the maintenance requirements. Thus, this study proposes a quick and robust performance evaluation and quality control mechanism to substitute conventional practices.
Stiffness-Based Statistical Limits for Evaluating Low-Volume Road Network Using Light-Weight Deflectometer
Transp. Infrastruct. Geotech.
Thummaluru, Vikas Kumar Reddy (Autor:in) / Guzzarlapudi, Sunny Deol (Autor:in)
Transportation Infrastructure Geotechnology ; 9 ; 804-834
01.12.2022
31 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Taylor & Francis Verlag | 2018
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