Ruhr University Bochum
Institute for Structural Mechanics

Universitätsstraße 150
44801 Bochum

Email:
Tel: 0234 /

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Lectures


  • UI Bachelor

  • Statik und Tragwerkslehre A (UI-B03)

  • BI Bachelor

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

  • BI Master

  • AFEM - Angewandte statische und dynamische Tragwerkssimulationen (BI-WP06)
  • IFEM - Inelastic Finite Element Methods for Structures (BI-WP59)
  • LFEM - Finite Elemente Methoden (BI-P08)
  • NFEM - Nonlinear Finite Element Methods for Structures (BI-WP05)
  • OFEM - Computational Structural Optimization (BI-W74)
  • PFEM - Objektorientierte Modellierung und Programmierung der FEM (BI-W74)
  • RANMS - Recent Advances in Numerical Modelling and Simulation (BI-W35)
  • RFEM - Recent Advances in Numerical Modelling and Simulation (BI-W35)
  • SFEM - Computational Modeling of Membranes and Shells (BI-WP57)
  • TFEM - Transient Finite Element and Finite Difference Methods (BI-WP60)
  • UFEM - Uncertainty Quantification in FE Analyses with Surrogate Modeling (BI-WP58)

  • CompEng

  • AFEM - Applied Computational Simulations of Structures (CE-WP11)
  • Computational Modeling of Membranes and Shells (CE-WP16)
  • Finite Element Methods in Linear Structural Mechanics (CE-P05)
  • Inelastic Finite Element Methods for Structures (CE-WP06)
  • NFEM - Nonlinear Finite Element Methods for Structures (CE-WP04)
  • PFEM - Object-oriented Modelling & Implementation of Structural Analysis Software (BI-W39, CE-WP10)
  • TFEM - Transient Finite Elemen and Finite Difference Methods (CE-WP30)
  • Uncertainty Quantification in FE Analyses with Surrogate Modeling (CE-WP29)

  • Subsurface

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

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 ]