Improved coupled Markov chain method for simulating geological uncertainty
Geological uncertainty is common in nature due to complex depositional processes as one
layer appears to be randomly embedded in neighbouring layers. However, the geo …
layer appears to be randomly embedded in neighbouring layers. However, the geo …
A cloud model-based approach for risk analysis of excavation system
Excavation construction in urban dense areas is regarded as a high-risk activity since there
are various aspects involved and risk usually occurs in local part of excavation. This paper …
are various aspects involved and risk usually occurs in local part of excavation. This paper …
[HTML][HTML] Deep learning-based evaluation of factor of safety with confidence interval for tunnel deformation in spatially variable soil
The random finite difference method (RFDM) is a popular approach to quantitatively
evaluate the influence of inherent spatial variability of soil on the deformation of embedded …
evaluate the influence of inherent spatial variability of soil on the deformation of embedded …
[HTML][HTML] Real-time analysis and prediction of shield cutterhead torque using optimized gated recurrent unit neural network
An accurate prediction of earth pressure balance (EPB) shield moving performance is
important to ensure the safety tunnel excavation. A hybrid model is developed based on the …
important to ensure the safety tunnel excavation. A hybrid model is developed based on the …
[HTML][HTML] Modeling of long-term train loads impacts on subgrade soils: a review
V Yavna, V Shapovalov, M Okost, A Morozov… - International Journal of …, 2023 - Elsevier
Subgrade is an important construction element of the railroad track. In the process of long-
term operation, the subgrade is loaded by trains and exposed to natural climatic factors …
term operation, the subgrade is loaded by trains and exposed to natural climatic factors …
Stochastic simulation of geological cross-sections from boreholes: a random field approach with Markov Chain Monte Carlo method
A reliable geological cross-section is essential to the design and risk assessment of
underground structures. Random fields are commonly employed to model geological …
underground structures. Random fields are commonly employed to model geological …
[HTML][HTML] Multi-objective optimization-based prediction of excavation-induced tunnel displacement
This paper proposes an inverse method for improving the prediction of tunnel displacements
during adjacent excavation. In this framework, staged data assimilation and parameter …
during adjacent excavation. In this framework, staged data assimilation and parameter …
A hybrid sensing of rotation-induced stress of segmental lining during shield tunneling via WSN and surrogate numerical modeling
The structural responses of segmental lining to the construction loads during shield
tunneling are not well understood yet. To this end, a hybrid sensing method is proposed to …
tunneling are not well understood yet. To this end, a hybrid sensing method is proposed to …
Efficient and flexible Bayesian updating of embankment settlement on soft soils based on different monitoring datasets
In situ monitoring provides valuable information to update the predictions of the
embankment settlement on soft soils. Observational data obtained at different monitoring …
embankment settlement on soft soils. Observational data obtained at different monitoring …
Prediction of undrained bearing capacity of skirted foundation in spatially variable soils based on convolutional neural network
H Cheng, H Zhang, Z Liu, Y Wu - Applied Sciences, 2023 - mdpi.com
Skirted foundations are widely used in offshore and subsea engineering. Previous studies
have shown that soil undrained shear strength variability has a notable impact on …
have shown that soil undrained shear strength variability has a notable impact on …