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10 May 2024 Local resonances for rail neutral temperature estimation: simulation and experiment
Yuning Wu, Keping Zhang, Peng Zhang, John Popovics, Xuan Zhu
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Proceedings Volume PC12950, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII; PC129500A (2024) https://doi.org/10.1117/12.3010022
Event: SPIE Smart Structures + Nondestructive Evaluation, 2024, Long Beach, California, United States
Abstract
Most modern railways use continuous welded rail (CWR) because they support higher transport speeds, provide less friction, and generally require less maintenance. However, thermal buckling of CWR has been a long-standing challenge for the railroad industry. Rail neutral temperature (RNT) is the temperature at which the longitudinal stress of a rail is zero. Due to the lack of expansion joints, CWR develops internal tensile or compressive stresses when the rail temperature is below or above, respectively, the RNT. Therefore, thermal stress or RNT measurement and management of CWR become more important for railroad maintenance. In this work, the team proposes a practical and nondestructive method for RNT estimation exploiting local resonances in rails.
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Yuning Wu, Keping Zhang, Peng Zhang, John Popovics, and Xuan Zhu "Local resonances for rail neutral temperature estimation: simulation and experiment", Proc. SPIE PC12950, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII, PC129500A (10 May 2024); https://doi.org/10.1117/12.3010022
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KEYWORDS
Nondestructive evaluation
Data analysis
Industry
Machine learning
Temperature metrology
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