Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Determination of complex modulus gradients of flexible pavements using falling weight deflectometer and artificial intelligence
The modulus gradient of asphalt concrete (AC) layers is an important feature of flexible pavements. The variation of the modulus with depth results from the synthetical effect of material properties, the service time of pavements, loading and environmental conditions. Since the modulus gradient directly affects critical responses and performance of pavements, the determination of the modulus gradient of AC layers is necessary for the evaluation, maintenance and rehabilitation of flexible pavements. This paper aims to propose a method to obtain layer moduli of flexible pavements at different loading frequencies, which include a power function describing the modulus gradient of AC layers. The method utilizes results from a typical nondestructive test in the field applying the falling weight deflectometer and techniques of the fast Fourier transform, finite element model updating, kriging model and artificial intelligence. The method is validated by comparing layer moduli obtained from the proposed method and other backcalculation softwares.
Determination of complex modulus gradients of flexible pavements using falling weight deflectometer and artificial intelligence
The modulus gradient of asphalt concrete (AC) layers is an important feature of flexible pavements. The variation of the modulus with depth results from the synthetical effect of material properties, the service time of pavements, loading and environmental conditions. Since the modulus gradient directly affects critical responses and performance of pavements, the determination of the modulus gradient of AC layers is necessary for the evaluation, maintenance and rehabilitation of flexible pavements. This paper aims to propose a method to obtain layer moduli of flexible pavements at different loading frequencies, which include a power function describing the modulus gradient of AC layers. The method utilizes results from a typical nondestructive test in the field applying the falling weight deflectometer and techniques of the fast Fourier transform, finite element model updating, kriging model and artificial intelligence. The method is validated by comparing layer moduli obtained from the proposed method and other backcalculation softwares.
Determination of complex modulus gradients of flexible pavements using falling weight deflectometer and artificial intelligence
Mater Struct
Deng, Yong (Autor:in) / Luo, Xue (Autor:in) / Zhang, Yazhou (Autor:in) / Lytton, Robert L. (Autor:in)
22.07.2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Complex modulus gradient , Pavement structure , Nondestructive testing , Kriging model , Artificial intelligence , Finite element model updating Engineering , Solid Mechanics , Materials Science, general , Theoretical and Applied Mechanics , Manufacturing, Machines, Tools, Processes , Civil Engineering , Building Materials
Assessment of Falling Weight Deflectometer Data for Stabilized Flexible Pavements
| British Library Online Contents | 2000
Assessment of Falling Weight Deflectometer Data for Stabilized Flexible Pavements
| British Library Conference Proceedings | 2000
Assessing concrete pavements with the falling weight deflectometer
Online Contents | 1994