Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Confidence Interval of Pavement Layer Parameters Estimated from FWD Time Series Data
A falling weight deflectometer (FWD) is a well recognized tool for evaluating the structural capacity of road and airfield pavements. Because a FWD test is dynamic, a dynamic backcalculation program called Wave BALM is used in this paper. The dynamic backcalculation utilizes the time history data of load and deflections measured by FWD. Pavement is assumed as a multilayered system composed of viscoelastic layers. The dynamic backcalculation program can estimate pavement layer moduli and the corresponding damping coefficients by point-wise matching technique coupled with the Gauss Newton method. Because the number of unknowns for dynamic backcalculation is twice as many as static backcalculation, the iterative process tends to be more unstable. Thus backcalculated results are expected to be greatly affected by seed values. Fifty sets of seed values are generated within the assigned ranges by Monte Carlo method, and backcalculation is performed. The means and the confidence intervals of layer modulus, layer damping coefficient, and dynamic modulus are computed.
Confidence Interval of Pavement Layer Parameters Estimated from FWD Time Series Data
A falling weight deflectometer (FWD) is a well recognized tool for evaluating the structural capacity of road and airfield pavements. Because a FWD test is dynamic, a dynamic backcalculation program called Wave BALM is used in this paper. The dynamic backcalculation utilizes the time history data of load and deflections measured by FWD. Pavement is assumed as a multilayered system composed of viscoelastic layers. The dynamic backcalculation program can estimate pavement layer moduli and the corresponding damping coefficients by point-wise matching technique coupled with the Gauss Newton method. Because the number of unknowns for dynamic backcalculation is twice as many as static backcalculation, the iterative process tends to be more unstable. Thus backcalculated results are expected to be greatly affected by seed values. Fifty sets of seed values are generated within the assigned ranges by Monte Carlo method, and backcalculation is performed. The means and the confidence intervals of layer modulus, layer damping coefficient, and dynamic modulus are computed.
Confidence Interval of Pavement Layer Parameters Estimated from FWD Time Series Data
Horiuchi, Satoshi (Autor:in) / Kawana, Futoshi (Autor:in) / Terada, Masaru (Autor:in) / Kubo, Kazuyuki (Autor:in) / Matsui, Kunihito (Autor:in)
2013 Airfield & Highway Pavement Conference ; 2013 ; Los Angeles, California, United States
Airfield and Highway Pavement 2013 ; 433-444
18.06.2013
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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