Long‐term monitoring of relative displacements at the
keystone of a masonry arch bridge
Shervan Ataei | Mehrdad Nouri | Vahid Kazemiashtiani
School of Railway Engineering, Iran
University of Science and Technology,
Narmak, Tehran, Iran
Shervan Ataei, School of Railway
Engineering, Iran University of Science
and Technology, Narmak, Tehran, Iran.
Permayon Company, Grant/Award
Nonstop development of the railway transportation and some demands such as
axle load increasing caused many researchers work thoroughly about the
sustainable development. It consists of the maintenance of historic structures
instead of replacing them. Following the same track, the current research is
illustrating the structural health monitoring of a masonry arch railway bridge
with the main span of 66 m. The leading concern through this research is the
changes in relative displacements of the adjacent blocks. Eccentricity tracing,
assessment of the maximum service load, and comparing the changes with
the code loading are presented in this paper. Estimation of the dynamic impact
factor are among the objectives satisfied by taking advantage of the monitoring
data, as well. It is also to rate the efficiency of the applied method in tracing the
structural performance of the complex structures like masonry arch bridges.
dynamic impact factor, load assessment, masonry arch railway bridge, structural health monitoring,
1 | INTRODUCTION
The evolution of sensing technology and application of data analysis lead to proceed the visual inspection methods for
structural safety and reliability. These growths submit widespread information that support advanced computational
analysis of complex structures. As a result, extensive information is provided during the structure's lifetime to deliver
required materials for engineers.
There are different types of structural health monitoring (SHM) methods applied by researchers. One of the valuable
studies regarding the SHM task was discussed by Van der Auweraer et al. in 2003.
The ways of instrumentation for
covering the matter of structural damage detection were explained.
SHM based on the vibration tests and experimental modal analysis are among the recognized methods applied by
many scientists. According to these methods, dynamic characteristics and modal parameters of bridges show that in
some cases, these findings lead to damage detection.
Moreu et al.
worked on the railroad bridge monitoring. The researchers believed that measuring the train load was
a challenging task, so they exploited the wireless sensors to monitor the structure. The investigation was performed on a
double‐track steel truss bridge. Wireless accelerometers and magnetic strain gauges were employed for the research. A
calibrated finite element model was also considered to measure the responses. The results indicated an easy path to reach
a reasonable management decision.
Presenting a hierarchical SHM system for infrastructures was a great practice performed by Kurta et al.
to perform the structural evaluation, assessment, and damage detection through observing the abnormal responses of the
Received: 16 July 2017 Revised: 23 December 2017 Accepted: 27 December 2017
Struct Control Health Monit. 2018;25:e2144.
Copyright © 2018 John Wiley & Sons, Ltd.wileyonlinelibrary.com/journal/stc 1of11