TY - GEN
T1 - NUMERICAL STUDY OF DISTRIBUTED ACOUSTIC SENSING (DAS) FOR RAILWAY CONDITION MONITORING
AU - Jones, Michael
AU - Rahman, Md Arifur
AU - Taheri, Mohammad
AU - Taheri, Hossein
N1 - Publisher Copyright:
Copyright © 2023 by ASME.
PY - 2023
Y1 - 2023
N2 - One of the most paramount factors for the railroad industry is the safe transportation of cargo and passengers. For the safe movement of locomotives, real-time tracking of trains and their cargo is critical and necessary. Current tracking systems face many challenges from weather interference to expensive implementations. Fiber optic acoustic detection has been developed for application to the railroad industry to improve the reliability of tracking locomotives along their route. Due to the wide variety of circumstances that the system could encounter, the in-situ testing of these systems has proven to be highly expensive. To reduce the cost of testing, finite element analysis is used in this study to determine the effectiveness of fiber optic acoustic detection in a variety of circumstances. The numerical results indicated that the properties of the material surrounding the cable have a significant effect on the accuracy, sensitivity, and effectiveness of the system. In particular, the density and Poisson ratio of a material are highly important to the efficacy of the detection system. The more compact material surrounding the fiber, the better acoustic matching occurs, and the stress/strain distribution is more uniform causing a better detection by the fiber optic system. In addition, the location of the fiber with respect to the applied external load is a critical parameter affecting the accuracy and probability of the detection by the fiber optic system.
AB - One of the most paramount factors for the railroad industry is the safe transportation of cargo and passengers. For the safe movement of locomotives, real-time tracking of trains and their cargo is critical and necessary. Current tracking systems face many challenges from weather interference to expensive implementations. Fiber optic acoustic detection has been developed for application to the railroad industry to improve the reliability of tracking locomotives along their route. Due to the wide variety of circumstances that the system could encounter, the in-situ testing of these systems has proven to be highly expensive. To reduce the cost of testing, finite element analysis is used in this study to determine the effectiveness of fiber optic acoustic detection in a variety of circumstances. The numerical results indicated that the properties of the material surrounding the cable have a significant effect on the accuracy, sensitivity, and effectiveness of the system. In particular, the density and Poisson ratio of a material are highly important to the efficacy of the detection system. The more compact material surrounding the fiber, the better acoustic matching occurs, and the stress/strain distribution is more uniform causing a better detection by the fiber optic system. In addition, the location of the fiber with respect to the applied external load is a critical parameter affecting the accuracy and probability of the detection by the fiber optic system.
KW - Condition Monitoring
KW - Fiber Optic Acoustic Detection (DAS)
KW - Finite Element Analysis (FEA)
KW - Railway
UR - http://www.scopus.com/inward/record.url?scp=85185404796&partnerID=8YFLogxK
U2 - 10.1115/IMECE2023-112954
DO - 10.1115/IMECE2023-112954
M3 - Conference article
AN - SCOPUS:85185404796
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Advanced Manufacturing
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2023 International Mechanical Engineering Congress and Exposition, IMECE 2023
Y2 - 29 October 2023 through 2 November 2023
ER -