Abstract
A Model-Based Estimate Method (MBEM) was introduced to estimate wheel-rail force by using track dynamic response data, the estimated result then be used for of OOR wheels identification. The function of dynamic force transfer between the wheel-rail force and tie displacement was developed based on a double layers track model. A case study was conducted to verify the result. Test equipment was made for tie-ballast interface pressure measurement. The equipment was installed on a heavy-haul railway line in the United States, long-term monitoring on ballast pressure was conducted. A series of preprocessing methods were used to obtain the normalized pressure data. According to the comparison between Wheel Impact Load Detector (WILD) data and ballast pressure data, the relationship between ballast pressure and wheel load was established. The wheel-rail force of each wheel was calculated by using the MBEM method.
Original language | English |
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Title of host publication | Structural Health Monitoring 2019 |
Subtitle of host publication | Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring |
Editors | Fu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos |
Pages | 585-594 |
Number of pages | 10 |
ISBN (Electronic) | 9781605956015 |
DOIs | |
State | Published - 2019 |
Event | 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States Duration: Sep 10 2019 → Sep 12 2019 |
Publication series
Name | Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring |
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Volume | 1 |
Conference
Conference | 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 |
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Country/Territory | United States |
City | Stanford |
Period | 9/10/19 → 9/12/19 |
Bibliographical note
Funding Information:This research was supported by the Chinese National Natural Science Foundation (51868024) and the National University Rail Center (NURail), a U.S. DOT OST Tier 1 University Transportation Center. Special appreciation is extended to Norfolk Southern Railway for providing the track test site and arranging the logistics and assistance associated with the in-track tests. Also, LB Foster (Salient Systems) Company assisted with the WILD data exportation and data processing techniques.
Publisher Copyright:
© International Workshop on Structural Health Monitoring. All rights reserved.
Funding
This research was supported by the Chinese National Natural Science Foundation (51868024) and the National University Rail Center (NURail), a U.S. DOT OST Tier 1 University Transportation Center. Special appreciation is extended to Norfolk Southern Railway for providing the track test site and arranging the logistics and assistance associated with the in-track tests. Also, LB Foster (Salient Systems) Company assisted with the WILD data exportation and data processing techniques.
Funders | Funder number |
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National University Rail Center | |
U.S. DOT OST Tier 1 University Transportation Center | |
National Natural Science Foundation of China (NSFC) | 51868024 |
ASJC Scopus subject areas
- Computer Science Applications
- Health Information Management