Predicting rail defect frequency: An integrated approach using fatigue modeling and data analytics
Author(s): |
Faeze Ghofrani
Abhishek Pathak Reza Mohammadi Amjad Aref Qing He |
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Medium: | journal article |
Language(s): | English |
Published in: | Computer-Aided Civil and Infrastructure Engineering, 10 January 2020, n. 2, v. 35 |
Page(s): | 101-115 |
DOI: | 10.1111/mice.12453 |
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data sheet - Reference-ID
10314162 - Published on:
28/06/2019 - Last updated on:
16/01/2020