Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/73689
Title: Optical fibre-based sensors for distributed strain monitoring of asphalt pavements
Authors: Xiang, P
Wang, HP 
Keywords: Asphalt pavement
Distributed strain monitoring
Error modification
Optical fibre sensor
Strain transfer analysis
Issue Date: 2016
Publisher: Taylor & Francis
Source: International journal of pavement engineering, 2016, p. 1-9 How to cite?
Journal: International journal of pavement engineering 
Abstract: Strain distribution of asphalt pavement varies in transverse and longitudinal directions, and distresses, such as cracks, ruts and settlements, often occur randomly, which can be efficiently measured by distributed optical fibre sensing technology. As bare optical fibre is weak to resist shear and torsion forces during pavement construction, the protective technique is required. Therefore, a flexible asphalt-mastic packaged optical fibre sensor was developed in this research for distributed strain monitoring of asphalt pavement. Theoretical analysis on strain transfer of the optical fibre-based sensors embedded in asphalt pavement was conducted to improve the design of the protective layer and remove the strain transfer error. Afterwards, laboratory tests on the asphalt concrete beam were carried out to validate the performance of the sensor. Finally, the proposed sensors were applied to detect the in situ performance of urban asphalt pavement under temperature and traffic loads. The results indicate that the proposed optical fibre sensor detects the distributed strain of asphalt pavement effectively, and the in situ data show significant effects of temperature and traffic loads on asphalt concrete course. This research contributes to the full-scale monitoring and health assessment of large-span pavement.
URI: http://hdl.handle.net/10397/73689
ISSN: 1029-8436
EISSN: 1477-268X
DOI: 10.1080/10298436.2016.1211872
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
Citations as of May 15, 2018

Page view(s)

3
Last Week
3
Last month
Citations as of May 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.