BACK ANALYSIS OF TUNNEL STRUCTURES BASED ON NEURAL NETWORKS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F16%3A00306716" target="_blank" >RIV/68407700:21110/16:00306716 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
BACK ANALYSIS OF TUNNEL STRUCTURES BASED ON NEURAL NETWORKS
Original language description
After a short introduction, the authors briefly describe the selected cross - section, the geological conditions and geotechnical monitoring. In the following part there was mentioned the numerical model used to calculate stresses, tunnel deformation and surface settlement. The main part of the article is focused on the use of neural networks for back analysis of tunnel construction. Application of the neural networks in the back analysis has many advantages, especially in the prediction of soil and rock parameters, which has a significant impact on the output values of the numerical model. The prediction of the tunnel deformation was determined using multi - layer neural network with back propagation. Its principles are described in the one of the chapters.
Czech name
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Czech description
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Project
<a href="/en/project/TE01020168" target="_blank" >TE01020168: Centre for Effective and Sustainable Transport Infrastructure (CESTI)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 13th International Conference Underground Construction Prague 2016
ISBN
978-80-906452-0-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Česká tunelářská asociace ITA-AITES
Place of publication
Praha
Event location
Praha
Event date
May 23, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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