Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Qualitative assessment of Traffic Speed Deflectometer data collection practice
Traffic Speed Deflectometers (TSDs) are being used more frequently for pavement evaluation at traffic speeds. Although it has been established that TSDs can assess pavement conditions at the network and project level, the quality of the obtained data needs to be further evaluated and factors affecting the magnitude and trends of the pavement responses should be more deeply investigated. In this study, TSD field experiments were conducted on several diverse instrumented pavement sections under different operational conditions. The effects of parameters such as data collection interval, vehicle operational speed, pavement section structural strength, and deflection velocity magnitude were investigated. Although the vehicle speed did not significantly affect the magnitude of the deflection slopes, it impacted the variability of the measured raw data. Pavement stiffness also directly impacted the quality of the data. Stiffer pavements, including pavements with either thick asphalt layers, stabilised base layers, or rigid pavements, responded to the moving load with lower deflection velocities and higher variabilities. Averaging the obtained data over longer intervals can reduce the variability of the deflection parameters.
Qualitative assessment of Traffic Speed Deflectometer data collection practice
Traffic Speed Deflectometers (TSDs) are being used more frequently for pavement evaluation at traffic speeds. Although it has been established that TSDs can assess pavement conditions at the network and project level, the quality of the obtained data needs to be further evaluated and factors affecting the magnitude and trends of the pavement responses should be more deeply investigated. In this study, TSD field experiments were conducted on several diverse instrumented pavement sections under different operational conditions. The effects of parameters such as data collection interval, vehicle operational speed, pavement section structural strength, and deflection velocity magnitude were investigated. Although the vehicle speed did not significantly affect the magnitude of the deflection slopes, it impacted the variability of the measured raw data. Pavement stiffness also directly impacted the quality of the data. Stiffer pavements, including pavements with either thick asphalt layers, stabilised base layers, or rigid pavements, responded to the moving load with lower deflection velocities and higher variabilities. Averaging the obtained data over longer intervals can reduce the variability of the deflection parameters.
Qualitative assessment of Traffic Speed Deflectometer data collection practice
Beizaei, Mahsa (Autor:in) / Tirado, Cesar (Autor:in) / Rocha, Sergio (Autor:in) / Nazarian, Soheil (Autor:in) / Rada, Gonzalo (Autor:in)
31.12.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Structural capacity assessment of queensland roads using traffic speed deflectometer data
| Taylor & Francis Verlag | 2020
Output from the Greenwood traffic speed deflectometer
| British Library Conference Proceedings | 2006
Alternative Approach for Interpreting Traffic Speed Deflectometer Results
| British Library Online Contents | 2014