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New Publication on Artificial Neural Networks for Real-Time Predictions in Mechanized Tunnelling


A new paper with the title “Artificial neural network surrogate modelling for real-time predictions and control of building damage during mechanised tunnelling” is published in the journal Advances in Engineering Software. The paper is a joint work of the Institute for Structural Mechanics and the Institute of Concrete Structures at Ruhr University Bochum within the Collaborative Research Center SFB 837 “Interaction Modeling in Mechanized Tunneling”. In the paper, finite element simulations in combination with recurrent and feed-forward neural networks are used to predict settlements and damage risks of buildings during tunnel construction processes in real-time.

The paper can be downloaded here: https://doi.org/10.1016/j.advengsoft.2020.102869

Free download is available until August 14, 2020 via https://authors.elsevier.com/a/1bI9s_LzjZiNlv

Our FEM course in the Summer Semester 2024...

The introduction of all our FEM courses took place on Wednesday, April 3rd, 2024.

For everyone wh

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Prof. Roger Sauer - Herzlich willkommen!...

Seit dem 01.04.2024 ist Prof. Dr. Roger A. Sauer neuer Inhaber des Lehrstuhls für Statik und Dynami

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