Ruhr University Bochum
Institute for Structural Mechanics

Universitätsstraße 150
44801 Bochum

Email:
Tel: 0234 /

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Lectures


  • UI Bachelor

  • UI-B03 - Statik und Tragwerkslehre A

  • BI Bachelor

  • BI-11 - Statik und Tragwerkslehre A
  • BI-15 - Statik und Tragwerkslehre B

  • BI Master

  • A-FEM - Angewandte statische und dynamische Tragwerkssimulationen (BI-WP06)
  • BI-P08 - Finite Elemente Methoden
  • BI-WP57 - Computational Modeling of Membranes and Shells
  • BI-WP58 - Uncertainty Quantification in FE Analyses with Surrogate Modeling
  • BI-WP59 - Inelastic Finite Element Methods for Structures
  • N-FEM - Nonlinear Finite Element Methods for Structures (BI-WP05)
  • O-FEM - Objektorientierte Modellierung und Programmierung der FEM (BI-W39)
  • RANMS - Recent Advances in Numerical Modelling and Simulation (BI-W35)
  • T-FEM - Transient Finite Element and Finite Difference Methods (BI-WP60)

  • CompEng

  • A-FEM - Applied Computational Simulations of Structures (CE-WP11)
  • CE-P05 - Finite Element Methods in Linear Structural Mechanics
  • CE-WP06 - Inelastic Finite Element Methods for Structures
  • CE-WP16 - Computational Modeling of Membranes and Shells
  • CE-WP29 - Uncertainty Quantification in FE Analyses with Surrogate Modeling
  • N-FEM - Nonlinear Finite Element Methods for Structures (CE-WP04)
  • O-FEM - Object-oriented Modelling & Implementation of Structural Analysis Software (CE-WP10)
  • RANMS - Recent Advances in Numerical Modelling and Simulation (CE-W04)
  • T-FEM - Transient Finite Elemen and Finite Difference Methods (CE-WP30)

  • Subsurface

  • N-FEM - Nonlinear Finite Element Methods for Structures (SE-CO-23)
  • SE-C-2 - Finite Element Methods in Linear Structural Mechanics
  • SE-CO-20 - Inelastic Finite Element Methods for Structures
  • SE-O-17 - Uncertainty Quantification in FE Analyses with Surrogate Modeling

Publications

2024
[ 1 ]Chen Xu; Ba Trung Cao; Yong Yuan; Günther Meschke
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
Engineering Applications of Artificial Intelligence, 2024-07
[ DOI ]
2023
[ 2 ]Chen Xu; Ba Trung Cao; Yong Yuan; Günther Meschke
Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios
Computer Methods in Applied Mechanics and Engineering, 2023-02
[ DOI ]
2022
[ 3 ]Cao, Ba Trung; Guenther Meschke; Xu, Chen; Yuan, Y.
Physics-informed neural networks with trainable weighted loss using uncertainty: applications to inverse analysis of tunnel rings
The 8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022, 5-9 June 2022, Oslo, Norway, 2022
[ DOI ]
1995
[ 4 ]Guenther Meschke; Liu, W. N.; Chen, H.; Mang, Herbert A.; Institut für Festigkeitslehre, Bochum; Technische Universität Wien
Vergleichende numerische Analysen des Traktionsverhaltens von Reifenstollen auf Schnee
, 1995
[ DOI ]
1994
[ 5 ]Guenther Meschke; Liu, W. N.; Chen, H.; Mang, Herbert A.; Institut für Festigkeitslehre, Bochum; Technische Universität Wien
Experimentelle und numerische Untersuchungen des Traktionsverhaltens von Einzelstollen auf Schnee auf der Basis eines neuen Stoffmodells für Schnee
, 1994
[ DOI ]