Railway track deflection analysis by using evolutionary algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F22%3APU147120" target="_blank" >RIV/00216305:26110/22:PU147120 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.14311/APP.2022.35.0023" target="_blank" >http://dx.doi.org/10.14311/APP.2022.35.0023</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/APP.2022.35.0023" target="_blank" >10.14311/APP.2022.35.0023</a>
Alternative languages
Result language
angličtina
Original language name
Railway track deflection analysis by using evolutionary algorithms
Original language description
In constrast to numerical methods, analytical modelling of railway track is one of the less time-consuming and computationally demanding methods which, in combination with computing power commonly available today, can form an effective tool for analysing the behaviour of the railway track. This paper deals with the use of iterative methods of evolutionary algorithms, together with analytical modelling, for the purpose of reverse analysis of the measured deflection caused by moving loads acting on the railway track. The theoretical assumptions of the analytical model used, the data collection methodology and the method used for the reverse analysis are presented. The results of the analysis are also presented-
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20104 - Transport engineering
Result continuities
Project
<a href="/en/project/TM01000016" target="_blank" >TM01000016: Afordable Railroad Smart Sensing System 4.0</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Acta Polytechnica CTU Proceedings
ISBN
978-80-01-06996-7
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
23-26
Publisher name
Neuveden
Place of publication
neuveden
Event location
Praha
Event date
May 10, 2022
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—