Back Analysis of Brusnice Tunnel based on Neural Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F17%3A00317879" target="_blank" >RIV/68407700:21110/17:00317879 - 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 Brusnice Tunnel based on Neural Networks
Original language description
The Brusnice tunnel is an important part of the Prague City Ring Road. The tunnel was excavated using NATM method (mostly in shales and deluvial sediments). The theotechnical monitoring was carried out during construction and its results give a good opportunity to perform a back analysis. After a short introduction, the authors briefly describe the selected cross-section, the geological conditions and geotechnical monitoring. In the following part there is 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. 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
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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