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Enhancing the TAMU Model for Predicting Buckling in Rails
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2024-09-30
[PDF-2.13 MB]
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Edition:June 1, 2023-August 31, 2024
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Abstract:It is well-known that track buckling is one of the most commonplace causes of train derailments. Accordingly, with partial funding provided by our previous USDOT UTC and the Technology Transportation Center, Inc., we have begun developing a Beta-version track buckling model for deployment by U.S. Railroad Companies as a tool for predicting track buckling. A significant advancement over currently deployed track buckling models, our technology includes an open-source nonlinear finite element algorithm that is user-friendly. Briefly, our track buckling model accounts for the effects of the following on track buckling: both longitudinal and lateral track walk; rail neutral temperature (RNT); both lateral and longitudinal crosstie aggregate interfacial friction; track modulus; nonlinear track liftoff; and broken spikes. In addition, it is sufficiently robust to be capable of accounting for additional environmental causes to be described herein and in a companion proposal. Given these advanced capabilities, track engineers will be able to dramatically improve track safety. The report given herein is a draft of a paper to be submitted for publication in a refereed journal.
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