A hybrid finite element and surrogate modelling approach for simulation and monitoring supported TBM steering

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.

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