Machine Learning for the Nondestructive Prediction of Neutral Temperature in Continuous Welded Rails-Reference-Cited by-同舟云学术

Machine Learning for the Nondestructive Prediction of Neutral Temperature in Continuous Welded Rails

Published:2023-07-04 Issue:3-4 Volume:34 Page:121-135
ISSN:0934-9847
Container-title:Research in Nondestructive Evaluation
language:en
Short-container-title:Research in Nondestructive Evaluation

Author:

Belding Matthew¹,Enshaeian Alireza²,Hager Charles²,Rizzo Piervincenzo²

Affiliation:

1. Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

2. Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

Funder

Association of American Railroads

Federal Railroad Administration

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/09349847.2023.2237446

Reference23 articles.

1. Thermal Stress Measurement in Continuous Welded Rails Using the Hole-Drilling Method

2. Longitudinal force measurement in continuous welded rail with bi-directional FBG strain sensors

3. PANDROL VERSE® technical information pack. https://railway-news.com/wp-content/uploads/2020/02/VERSE-Technical-Information-Pack.pdf 2019 (accessed October 29 2022).

4. Nondestructive measurement of neutral temperature in continuous welded rails by nonlinear ultrasonic guided waves

5. Nonlinear wave propagation in constrained solids subjected to thermal loads

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2. Nondestructive Estimation of Neutral Temperature in Rails: A Comparative Study of Machine Learning Strategies;Materials Evaluation;2024-01-01

3. Latest Advancements on a Vibration-Based Monitoring Approach for Continuous Welded Rails;Lecture Notes in Civil Engineering;2024