solid mechanics

Solid mechanics includes the calculation of stresses and strains in 2D or 3D space. It is based on a variety of material models - from linear elastic materials to the consideration of nonlinear effects.

Dynamics & Vibrations

Dynamic systems can be analyzed in the time domain (transient) or frequency domain (harmonic). Numerical modal analysis, frequency response analysis or the calculation of statistically distributed excitations are often used here.

Mehrkörpersysteme (MKS)

Mechanical assemblies contain several bodies that are subject to large translational or rotational movements. The resulting forces and stresses in joints and connections can be analyzed in multi-body systems.

Rotordynamics

Rotating shafts cause high stresses on rotors, bearings or foundations at certain rotational frequencies. The analysis of critical speeds, stability limits and unbalance reactions helps to precisely optimize the operating conditions.

composite materials

Composite materials offer great potential for lightweight construction. The investigation of heterogeneous materials with regard to micromechanical properties, delamination or layer failure is therefore essential.

Nonlinear material models

Composite materials offer great potential for lightweight construction. The investigation of heterogeneous materials with regard to micro-mechanical properties, delamination or layer failure is therefore essential.

pressure acoustics

Pressure acoustics includes typical acoustic effects such as scattering, transmission or the emission of sound. The simulation can be carried out by solving the Helmholtz equation in the frequency domain or the scalar wave equation in the time domain.

fluid-structure interaction

The acoustic-structure interaction (vibroacoustics) simulations take into account the interaction between fluid pressure and structural acceleration. They can be carried out in the frequency or time domain.

Acoustic Thermoviscose

For precise modeling of acoustics in small geometries, heat conduction effects and viscous losses are integrated into the equations. Thermoviscous acoustics takes viscous and thermal boundary layers into account and is particularly used in microacoustic applications such as microphones and receivers

Open areas

To model open simulation domains, the Perfectly Matched Layer (PML) condition is often used, which can be used in both the time and frequency domain. Alternatively, radiation boundary conditions or external regions are used, which are modeled using the Boundary Element Method (BEM) interface.

radiation acoustics and diffusion

The simulation in the high frequency range is based on beam acoustics and the acoustic diffusion equation. These methods are ideal for modeling rooms, for example.

Using a ray acoustic approach, impulse response analyses and room acoustic parameters such as EDT, T60 and level decay curves can be determined.

Acoustic losses

To approximately account for losses in acoustics, equivalent fluid models are used that introduce homogenized damping properties into the fluid volume and simulate various loss mechanisms. These include losses due to heat conduction, viscosity and relaxation in air, sea water and damping in porous materials.

Thermal stresses

The analysis of thermal stresses examines the effects of temperature changes on materials and structures. It takes into account the strains caused by temperature gradients and the resulting mechanical stresses.

thermal contact

Thermal contact simulations analyze the heat transfer between materials in contact. The heat conduction, which is influenced by surface roughness, contact resistance and temperature differences, is precisely determined.

Heat in porous materials

The simulation of heat in porous media investigates the heat transfer through solid and liquid phases in materials with a porous structure. The core topic is the interactions between the fluid and the solid material in order to precisely model the temperature distribution and heat flow in applications such as filters, insulation and geothermal systems.

model order reduction

Large FEM models can be efficiently reduced in size using the Craig-Bampton method or the Krylov subspace method. This allows large parameter studies to be carried out quickly and without major losses in accuracy.

optimization

Modern optimization methods create great potential for improving product properties. Whether parameter, shape or topology optimization, I optimize according to your specifications.

uncertainty quantification

Through uncertainty quantification, I characterize your model uncertainties and help you understand the impacts. Through screening, sensitivity analysis and reliability predictions, I robustify your models.

Parameterfitting

Parameter estimation and curve fitting performance help to determine unknown parameters from experimental data. Modern algorithms minimize the deviation between real and simulated experiments to make more precise predictions.

Simulations Apps

I create ready-to-use and customer-specific simulation applications. These can be shared within the specialist department and other teams and thus used for interdisciplinary work.

Surrogate Models

Surrogate models offer an efficient way to approximate complex simulations with reduced computational effort. They enable faster calculations, interactive applications and are ideal for optimized design processes. Surrogate models are generated by deep neural networks or Gaussian processes.