A hybrid finite element and surrogate modelling approach for simulation and monitoring supported TBM steering
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TLDR
The proposed technique combines the capacity of a process-oriented 3D simulation model for mechanized tunnelling with the computational efficiency of surrogate (or meta) models based on artificial neural networks to accurately describe the complex geological and mechanical interactions of the Tunnelling process.About:
This article is published in Tunnelling and Underground Space Technology.The article was published on 2017-03-01 and is currently open access. It has received 46 citations till now. The article focuses on the topics: Surrogate model & Computational steering.read more
Figures
Figure 4. Hybrid FE and surrogate model-supported steering of the mechanized tunnelling process. 
Figure 7. Data exchange between the TIM and the FE simulation model ekate. 
Figure 11. Model-based optimization of TBM-steering parameters: Settlements at five measurement points with and without optimized steering parameters. 
Table 4. Algorithm for model update: Identification of the soil parameters based on in situ measurements. 
Figure 15. Main classes of the steering support tool including main objects and functions. 
Table 1. Algorithm for the hybrid FE and surrogate model-supported steering in mechanized tunnelling
Citations
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Journal ArticleDOI
Surrogate model for 3D ground and structural deformations in tunneling by the sequential excavation method
TL;DR: In this article , the authors examined the capability of four surrogate modeling methods, namely the Polynomial Chaos Expansion (PCE), Kriging, sequential polynomial-chaos-Kriging (PCK-SEQ), and optimal Polynial-Chaos Krigeling (OPT), to accurately and efficiently capture the ground and structural deformations induced by SEM tunneling.
Journal ArticleDOI
Design guidelines for concrete segmental linings in transverse interaction with the TBM
TL;DR: In this paper , the TBM transverse actions are examined in detail and a theoretical framework is proposed to help tunnel designers incorporate them into the basis of design and the analyses required for structural verification.
Journal ArticleDOI
A novel long-short term memory network approach for stress model updating for excavations in high stress environments
TL;DR: In this paper , a Long Short Term Memory (LSTM) network is proposed for stress model updating at the Garson Mine, which is trained using microseismic data, geology, and geomechanical parameters from the FLAC3D model.
Journal ArticleDOI
Development and application of a novel probabilistic back-analysis framework for geotechnical parameters in shield tunneling based on the surrogate model and Bayesian theory
Journal ArticleDOI
Optimal Layout Design for Thrust Systems in Earth Pressure Balance Shield Machines Under Sudden Loads
TL;DR: The relative variation coefficient (CRV), an evaluation index of thrust suitable for sudden loads, is proposed and the layout parameters of a uniform propulsion system are optimised to determine the layout parameter of a nonuniform propulsion system.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI
Particle swarm optimization
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Journal ArticleDOI
Soil mechanics and plastic analysis or limit design
D. C. Drucker,W. Prager +1 more
Journal ArticleDOI
Characterization of geotechnical variability
Kok-Kwang Phoon,Fred H. Kulhawy +1 more
TL;DR: In this paper, the three primary sources of geotechnical uncertainties are inherent variability, measurem, and measurem uncertainties, and the three main sources of variability are measurem and inherent variability.
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