RESEARCH ARTICLE
Fiber optic health monitoring and temperature behavior of bridge
in cold region
Feng Xiao
1
| J. Leroy Hulsey
1
| Radhakrishnan Balasubramanian
2
1
Department of Civil Engineering,
University of Alaska Fairbanks, Fairbanks,
Alaska 99775, USA
2
State of Alaska DOT&PF, 3132 Channel
Drive, Juneau, Alaska 99801, USA
Correspondence
Feng Xiao, Department of Civil Engineering,
University of Alaska Fairbanks, Fairbanks,
Alaska 99775, USA.
Email: xfeng2@alaska.edu
Funding Information
Alaska University Transportation Center,
Grant/Award Number: 510015
Summary
The objectives of this research are (a) to establish a structural health monitoring
system for bridge safety evaluation that is suitable for cold, remote regions and (b)
to identify the bridge responses under variations in temperature. To achieve this,
fiber optic sensors with temperature compensation were selected that were suitable
for cold regions. This technique allows monitoring equipment to operate far from the
sensor installation site, which avoids exposing much of the equipment to extremely
cold temperatures and makes a power supply more accessible. The bridge tempera-
ture behavior is studied based on the real‐time field measurement data, and the
relationship between the thermal loading and the bridge response is presented.
KEYWORDS
bridge response, cold regions, fiber optic, structural health monitoring, temperature measurement
1 | INTRODUCTION
Bridge health monitoring systems can provide an early
warning for bridge safety issues and are used to monitor struc-
tural conditions and changes in real time.
[1,2]
They can also
provide engineers with valuable data for asset management
plans and bridge service life studies. Structural health monitor-
ing (SHM) systems have been widely applied for use in bridge
condition evaluation.
[3–8]
However, the application of these
systems in cold regions is lacking, and very few quantitative
studies have examined the temperature behavior of large‐scale
bridges.
[9]
The modern transportation system has been
extended to both cold and hot extremes; thus, bridge research
in those areas should attract attention. The core theme of this
paper is to establish a SHM system for bridge safety evaluation
that is suitable for cold, remote regions and to identify the
bridge response from the variations in temperature.
Bridges in Alaska are subjected to extremely low temper-
atures. During the first decade of the 21st century, most of
Alaska experienced a cooling shift that modified the long‐
term warming trend.
[10]
Bridges may be located in permafrost
areas, where there can be excessively deep snow, strong
winds, and even seismic events. Bridges in these harsh
conditions are often located in remote areas, and difficulties
arise when monitoring such bridges because the harsh
environment affects the reliability and durability of SHM
equipment, sensors, and data communication tools. This
study applied a fiber optic real‐time monitoring system for
a highway bridge located in Alaskan permafrost. Based on
a2‐year, real‐time monitoring project (from fall 2012 to
spring 2014), this system proved that it can provide stable
and reliable data for bridge evolution and is suitable for cold
and remote conditions. The first part of this research provided
guidelines for the implementation of bridge health monitor-
ing in cold, remote regions.
In addition to the effect of cold temperature and remote
locations, Alaska experiences a polar day and night. This
phenomenon contributes to the unusual solar radiation condi-
tions in this area. The bridges are subjected to continuous
temperature variations primarily due to solar radiation and
ambient air temperature. Because of Alaska’ s high latitude,
there is a large variation in daylight between summer and
winter, which produces unusual solar radiation conditions.
The effects of cold temperature, remoteness, and the polar
day and night in Alaska may induce changes in conditions
that are not typically found elsewhere.
Received: 25 September 2016 Revised: 14 January 2017 Accepted: 14 March 2017
DOI: 10.1002/stc.2020
Struct Control Health Monit. 2017;e2020.
https://doi.org/10.1002/stc.2020
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