TY - JOUR
T1 - Ballasted railway track-bridge transition zone monitoring methods
T2 - recent developments, challenges, and prospects
AU - Siahkouhi, Mohammad
AU - Rashidi, Maria
AU - Miri, Amin
AU - Ghiasi, Alireza
AU - Paixão, André
PY - 2025/9/1
Y1 - 2025/9/1
N2 - Many researchers have studied the dynamic response of ballasted railway track-bridge transition zones (RTBTZs) using different instrumentation systems. The primary factor contributing to the frequent abnormal dynamic behavior of the RTBTZ is differential settlement between the earthworks and structures, which is the main target for RTBTZ monitoring. These settlements result in an uneven longitudinal rail profile in the foundation and embankment soils, and in the upper layers (ballast, subballast, and form layer). This paper provides a comprehensive review based on potential new technologies for railway infrastructure monitoring. Limitations of different monitoring systems such as point scale monitoring, the sensor's long-Term performance, different sensors for different output responses, and developing simplified numerical modeling based on recorded data are discussed. In addition, opportunities to conduct efficient monitoring using a new generation of sensors such as fiber optic sensors, smart self-sensing sensors, microelectromechanical system (MEMS) sensors, wireless sensing ballast particles (SmartRock), large-scale sensoring, and remote sensing techniques such as drones and light detection and ranging (LiDar) are presented.
AB - Many researchers have studied the dynamic response of ballasted railway track-bridge transition zones (RTBTZs) using different instrumentation systems. The primary factor contributing to the frequent abnormal dynamic behavior of the RTBTZ is differential settlement between the earthworks and structures, which is the main target for RTBTZ monitoring. These settlements result in an uneven longitudinal rail profile in the foundation and embankment soils, and in the upper layers (ballast, subballast, and form layer). This paper provides a comprehensive review based on potential new technologies for railway infrastructure monitoring. Limitations of different monitoring systems such as point scale monitoring, the sensor's long-Term performance, different sensors for different output responses, and developing simplified numerical modeling based on recorded data are discussed. In addition, opportunities to conduct efficient monitoring using a new generation of sensors such as fiber optic sensors, smart self-sensing sensors, microelectromechanical system (MEMS) sensors, wireless sensing ballast particles (SmartRock), large-scale sensoring, and remote sensing techniques such as drones and light detection and ranging (LiDar) are presented.
KW - Ballasted railway track-bridge transition zone
KW - Bridge
KW - Fiber optic sensors
KW - Railway track
KW - Sensors
KW - Track degradation
UR - http://www.scopus.com/inward/record.url?scp=105004638307&partnerID=8YFLogxK
UR - https://go.openathens.net/redirector/westernsydney.edu.au?url=https://doi.org/10.1061/JPEODX.PVENG-1608
U2 - 10.1061/JPEODX.PVENG-1608
DO - 10.1061/JPEODX.PVENG-1608
M3 - Article
AN - SCOPUS:105004638307
SN - 2573-5438
VL - 151
JO - Journal of Transportation Engineering Part B: Pavements
JF - Journal of Transportation Engineering Part B: Pavements
IS - 3
M1 - 03125001
ER -