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Günther Meschke

Günther Meschke

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7995
World Ranking
5166
National Ranking
163

Research.com Recognitions

  • 2017 - Member of Academia Europaea

Overview

Günther Meschke is affiliated with Ruhr University Bochum in Germany. Their research primarily spans the field of engineering, with a focus on several subfields including civil and structural engineering, mechanics of materials, safety, risk, reliability and quality, building and construction, and computational mechanics.

The main topics covered in their work encompass geotechnical engineering and analysis, geotechnical engineering and underground structures, tunneling and rock mechanics, rock mechanics and modeling, innovative concrete reinforcement materials, innovations in concrete and construction materials, and numerical methods in engineering.

Frequent co-authors in their research include:

  • Jithender J. Timothy
  • Ba Trung Cao
  • Steffen Freitag
  • Giao Vu
  • Hoang-Giang Bui

Günther Meschke has published extensively across various venues with a notable frequency in:

  • PAMM
  • Tunnelling and Underground Space Technology
  • SSRN Electronic Journal
  • Computer Methods in Applied Mechanics and Engineering
  • Materials

Some of their recent papers include:

  • "Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios", 2022, Computer Methods in Applied Mechanics and Engineering
  • "Artificial neural network surrogate modelling for real-time predictions and control of building damage during mechanised tunnelling", 2020, Advances in Engineering Software
  • "Extrusion process simulation and layer shape prediction during 3D-concrete-printing using the Particle Finite Element Method", 2022, Automation in Construction
  • "From digital models to numerical analysis for mechanised tunnelling: A fully automated design-through-analysis workflow", 2020, Tunnelling and Underground Space Technology
  • "A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction", 2024, Engineering Applications of Artificial Intelligence

Among their recognitions, Günther Meschke was made a Member of Academia Europaea in 2017.

Best Publications

  • A 3D finite element simulation model for TBM tunnelling in soft ground

    Thomas Kasper;Günther Meschke

  • On the influence of face pressure, grouting pressure and TBM design in soft ground tunnelling

    Thomas Kasper;Günther Meschke

  • An anisotropic elastoplastic‐damage model for plain concrete

    G. Meschke;R. Lackner;H. A. Mang

  • Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios

    Unknown

  • Energy-based modeling of cohesive and cohesionless cracks via X-FEM

    Günther Meschke;Peter Dumstorff

  • A numerical study of the effect of soil and grout material properties and cover depth in shield tunnelling

    Thomas Kasper;Günther Meschke

  • Constitutive modeling of crimped collagen fibrils in soft tissues.

    Rafael Grytz;Günther Meschke

  • Crack propagation criteria in the framework of X-FEM-based structural analyses

    Peter Dumstorff;Günther Meschke

  • The collagen fibril architecture in the lamina cribrosa and peripapillary sclera predicted by a computational remodeling approach.

    Rafael Grytz;Günther Meschke;Jost B. Jonas

  • A new class of algorithms for classical plasticity extended to finite strains. Application to geomaterials

    J. C. Simo;G. Meschke

  • Optimization of artificial ground freezing in tunneling in the presence of seepage flow

    Ahmed Marwan;Meng-Meng Zhou;M. Zaki Abdelrehim;Günther Meschke

  • 3D modelling of strong discontinuities in elastoplastic solids: fixed and rotating localization formulations

    J. Mosler;G. Meschke

  • A new 3-D finite element model for cord-reinforced rubber composites: application to analysis of automobile tires

    P. Helnwein;C. H. Liu;G. Meschke;H. A. Mang

  • Computational Modelling of Concrete Structures

    Nenad Bícanić;Herbert Mang;Günther Meschke;René de Borst

  • A three-phase thermo-hydro-mechanical finite element model for freezing soils

    M.M. Zhou;G. Meschke

  • Embedded crack vs. smeared crack models: a comparison of elementwise discontinuous crack path approaches with emphasis on mesh bias

    J. Mosler;G. Meschke

  • NUMERICAL MODELING OF COUPLED HYGROMECHANICAL DEGRADATION OF CEMENTITIOUS MATERIALS

    Günther Meschke;Stefan Grasberger

  • A computational remodeling approach to predict the physiological architecture of the collagen fibril network in corneo-scleral shells

    Rafael Grytz;Günther Meschke

  • CONSIDERATION OF AGING OF SHOTCRETE IN THE CONTEXT OF A 3‐D VISCOPLASTIC MATERIAL MODEL

    G. Meschke

  • Chemo‐hygro‐mechanical modelling and numerical simulation of concrete deterioration caused by alkali‐silica reaction

    F. Bangert;D. Kuhl;G. Meschke

  • Experimental, analytical and numerical analysis of the pullout behaviour of steel fibres considering different fibre types, inclinations and concrete strengths

    Rolf Breitenbücher;Günther Meschke;Fanbing Song;Yijian Zhan

  • Lamina Cribrosa Thickening in Early Glaucoma Predicted by a Microstructure Motivated Growth and Remodeling Approach.

    Rafael Grytz;Ian A. Sigal;Jeffrey W. Ruberti;Günther Meschke

Frequent Co-Authors

René de Borst
René de Borst University of Sheffield
Erik H. Saenger
Erik H. Saenger Ruhr University Bochum
Roman Lackner
Roman Lackner University of Innsbruck
Dominik Schillinger
Dominik Schillinger University of Minnesota
Jost B. Jonas
Jost B. Jonas Heidelberg University
Joaquim A. O. Barros
Joaquim A. O. Barros University of Minho
Xiaoying Zhuang
Xiaoying Zhuang University of Hannover

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