Towards Early Rail Crack Detection: Characterizing Stress Wave Behavior through Experimentation and FE Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0201545" target="_blank" >RIV/00216305:26220/26:0201545 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/pages/publications/105012437684#tab=similar" target="_blank" >https://www.scopus.com/pages/publications/105012437684#tab=similar</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Towards Early Rail Crack Detection: Characterizing Stress Wave Behavior through Experimentation and FE Modeling
Original language description
As key components of the railway network, switches are exposed to significant mechanical stress, which can lead to gradual wear or damage that is not always easily detectable by conventional methods. Common methods include visual inspection, ultrasonic testing, eddy current testing, etc. Acoustic emission as a diagnostic tool enables early detection of microstructural changes in rail material, which is essential for accident prevention and optimization of railway network maintenance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings II of the Conference Student EEICT
ISBN
9788021463219
ISSN
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e-ISSN
2788-1334
Number of pages
3
Pages from-to
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Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Apr 29, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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