Research Group Mechanics and Structural Analysis (MeSA)

Research on mechanics of materials and structures

At our research group, we aim to address application-driven problems related to statics and dynamics of structures and continua, as well as aspects of computational mechanics. Our focus also includes the development and validation of advanced models and methods in computational engineering and simulation, with a particular emphasis on civil and mechanical engineering applications.

All interdisciplinary research activities aim at the simultaneous investigation of

  • the involved physical phenomena,
  • the identification of appropriate mathematical models and their validation,
  • the development and application of efficient approximate solution methods, and
  • the transformation of research findings to practically applicable formats (norms, guidelines).

Models and methods for advanced materials and structures

Digital twinning of buildings and components

While our work has its roots in the engineering sciences, our research lines have become increasingly interdisciplinary and extend to a wide range of disciplines in science, such as physics, computer science, applied mathematics, as well as the life and social sciences.

As a research group, we strive to investigate physical phenomena involved in interdisciplinary research activities. We also identify appropriate mathematical models and validate them, develop and apply efficient approximate solution methods, and transform our research findings to practically applicable formats such as norms and guidelines.

(1) Structures and multi-physics problems

  • light-weight and thin-walled structures
  • self-excitation in aero/hydro-elasticity
  • piezoelectric devices for energy harvesting

(2) Materials

  • rheology of setting fresh concrete
  • concrete ageing and BIM-integration
  • multiscale models for porous materials
  • fibrous materials and biological tissue

(3) Numerical methods

  • advanced finite element methods
  • strategies for multiphysics systems
  • numerical approaches for moving boundaries
  • data-driven models using machine learning
  • automated code generation

Research projects