Baillargeon, J., & Woody, S. (. (2022). Longitudinal Resistance Modeling for Frozen Ballast [Research Results] (Report No. RR 22-22). United States. Department of Transportation. Federal Railroad Administration. https://rosap.ntl.bts.gov/view/dot/64361
Baillargeon, Jay and Stephen (Sean) Woody. Longitudinal Resistance Modeling for Frozen Ballast [Research Results]. Report no. RR 22-22. United States. Department of Transportation. Federal Railroad Administration, 2022. https://rosap.ntl.bts.gov/view/dot/64361.
Baillargeon, Jay, and Stephen (Sean) Woody Longitudinal Resistance Modeling for Frozen Ballast [Research Results]. United States. Department of Transportation. Federal Railroad Administration, 2022, Report no. RR 22-22, ROSA P. https://rosap.ntl.bts.gov/view/dot/64361.
On behalf of the Federal Railroad Administration (FRA), Transportation Technology Center, Inc. (TTCI) developed a “proof-of-concept” finite element (FE) longitudinal resistance model to simulate a rail break based on historical data. Longitudinal track resistance (fo) is an important parameter for rail break repairs to re-establish the rail neutral temperature (RNT) 1. If an incorrect fo is used, the resulting RNT could be too high, which increases the risk of additional rail breaks. Conversely, if it is too low, this increases the risk of the track buckling. This project was undertaken to better define fo on frozen ballast due to the lack of sufficient data for this condition. Researchers developed an FE model to support much-needed field testing in the future. Research was conducted between Fall 2021 and Spring 2022.
Baillargeon, J., & Woody, S. (. (2022). Longitudinal Resistance Modeling for Frozen Ballast [Research Results] (Report No. RR 22-22). United States. Department of Transportation. Federal Railroad Administration. https://rosap.ntl.bts.gov/view/dot/64361
Baillargeon, Jay and Stephen (Sean) Woody. Longitudinal Resistance Modeling for Frozen Ballast [Research Results]. Report no. RR 22-22. United States. Department of Transportation. Federal Railroad Administration, 2022. https://rosap.ntl.bts.gov/view/dot/64361.
Baillargeon, Jay, and Stephen (Sean) Woody Longitudinal Resistance Modeling for Frozen Ballast [Research Results]. United States. Department of Transportation. Federal Railroad Administration, 2022, Report no. RR 22-22, ROSA P. https://rosap.ntl.bts.gov/view/dot/64361.
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