Affiliation of Author(s):航空学院
Journal:CONSTRUCTION AND BUILDING MATERIALS
Key Words:Rutting Accumulated deformation Fiber Bragg grating sensors Prediction model
Abstract:Rutting is a significant problem for asphalt pavements, caused by factors such as channelized traffic and over loading, especially in urban areas and on highways. In recent decades, great emphasis has been put on this issue through various research methods. Fiber Bragg grating (FBG) sensing technology is widely used to detect the structure conditions due to its accuracy and simplicity and now gradually applied to pavements as a common detecting method. The objective of this study is to use FBG sensors to monitor the inner accumulated deformation of asphalt specimens in various depths at different temperatures, and seek for the relationship between accumulated deformation and temperature through an improved linear viscoelastic rutting prediction model. The results showed that the FBG sensors are reliable for monitoring accumulated deformation of asphalt pavements. For the full-depth rutting specimen, the deformation in the top and lower layer changed significantly with temperature. The middle layer had the largest unit accumulated deformation, which was not sensitive to temperature. It was also concluded that the revised model had enough accuracy to predict deformation of pavements, regardless of materials or structures. (C) 2017 Elsevier Ltd. All rights reserved.
ISSN No.:0950-0618
Translation or Not:no
Date of Publication:2017-11-15
Co-author:李骅,F70206484,刘明茜
Correspondence Author:F70206484,jjg,gaolei
Date of Publication:2017-11-15