Data-driven models in reliability analysis for tunnel structure: A systematic review
Reliability analysis plays a critical role in the design optimization, operation, and
maintenance of tunnel structures. While classical mechanism models have been …
maintenance of tunnel structures. While classical mechanism models have been …
Reliability analysis method for tunnel structural design: Brief review and relevant prospects
Z Wang, M Hu, J Lai, S **e, Y Cai - Structures, 2023 - Elsevier
Ensuring the reliability of tunnel support systems is crucial for their safe and uninterrupted
use. However, tunnel engineering involves numerous uncertain factors, such as the …
use. However, tunnel engineering involves numerous uncertain factors, such as the …
A hybrid data-driven model for geotechnical reliability analysis
Tunnel boring machines are widely used to construct underground rail networks in urban
areas. However, ground settlement due to complex geological conditions is an ever-present …
areas. However, ground settlement due to complex geological conditions is an ever-present …
Reliability analysis of deep tunnels in spatially varying brittle rocks using interval and random field modelling
Rock properties are estimated using objective lab/in-situ testing and subjective judgements
invoking different types of uncertainties, ie, aleatory, and epistemic, along them, often …
invoking different types of uncertainties, ie, aleatory, and epistemic, along them, often …
Attribute recognition model for risk assessment of water inrush
J Wang, S Li, L Li, P Lin, Z Xu, C Gao - Bulletin of Engineering Geology …, 2019 - Springer
An attribute recognition model of water inrush risk evaluation is established based on
attribute mathematic theory and software is developed for risk assessment in a tunnel. In our …
attribute mathematic theory and software is developed for risk assessment in a tunnel. In our …
Probabilistic evaluation of ground-support interaction for deep rock excavation using artificial neural network and uniform design
An efficient approach is proposed in this paper for probabilistic ground-support interaction
analysis of deep rock excavation using the artificial neural network (ANN) and uniform …
analysis of deep rock excavation using the artificial neural network (ANN) and uniform …
Bayesian characterization of correlation between uniaxial compressive strength and Young's modulus of rock
The uniaxial compressive strength (UCS) and Young's modulus (E) of rock are important
mechanical parameters in rock engineering design and construction. UCS and E are also …
mechanical parameters in rock engineering design and construction. UCS and E are also …
Closed-form solution and reliability analysis of deep tunnel supported by a concrete liner and a covered compressible layer within the viscoelastic burger rock
Time-dependent rock behavior can significantly affect the design and the construction
method of tunnel support lining. As an innovation, a concrete liner covered with a …
method of tunnel support lining. As an innovation, a concrete liner covered with a …
Reliability based design optimization for a rock tunnel support system with multiple failure modes using response surface method
Reliability-based design optimization (RBDO) is applied to a rock tunnel support system,
considering the ground-support interaction and the parametric uncertainties. Both reliability …
considering the ground-support interaction and the parametric uncertainties. Both reliability …
Moving least squares method for reliability assessment of rock tunnel excavation considering ground-support interaction
A practical approach is proposed in this paper for the reliability assessment of rock tunnel
excavations using the moving least squares method (MLSM) and the uniform design. The …
excavations using the moving least squares method (MLSM) and the uniform design. The …