Kriging-based optimization design of deep tunnel in the rheological Burger rock

Abstract The principal purpose of this work consists in optimizing the support system of a deep tunnel accounting for the uncertainty of the time-dependent behaviour of the surrounding rock, which is described by the rheological Burger law. The stochastic approach is chosen for this aim. On one hand...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 833; no. 1; pp. 12155 - 12162
Main Authors Do, D P, Tran, N T, Hoxha, D, Vu, M N, Armand, G
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.08.2021
Subjects
Civil Engineering
Construction durable
Design
Design optimization
Engineering Sciences
Failure modes
Géotechnique
Limit states
Linings
Matériaux composites et construction
Metamodels
Random variables
Rheological properties
Rheology
Risques
Rocks
Stochasticity
Structures
Support systems
Tensors
Tunnel construction
Tunnel supports
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Summary:Abstract The principal purpose of this work consists in optimizing the support system of a deep tunnel accounting for the uncertainty of the time-dependent behaviour of the surrounding rock, which is described by the rheological Burger law. The stochastic approach is chosen for this aim. On one hand the Quantile Monte Carlo (QMC) simulation is used to determine the optimal design variables (i.e., the thickness of two liners). On the other hand, the well-known Kriging metamodeling technique is undertaken to approximate the limit state function in the augmented reliability space (i.e., the tensor product between the random variable space and the design variable space). The adopted optimization process allows to derive the optimal tunnel support that verifies two failure modes, namely the support capacity criterion and the maximum tunnel convergence.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/833/1/012155