Safety of Structures
Modelling and Simulation
Our research priority is the development of efficient methods for modelling and simulation of materials and structures with a focus on civil structures using multiscale methods in space and time and taking multiphysics phenomena into account.
Another main research project in the context of a digital twin is the development of an integrated methodology for model calibration from experimental tests and monitoring data by using stochastic methods. This comprises methods and algorithms for a reliable prognosis of the future performance of structures.
In this regard, a particular focus is the development of methodologies to assess the robustness and reliability of simulation results, taking into account many different sources of uncertainty, such as measurement errors, model errors, simulation errors or calibration errors.
Fields of expertise
We develop constitutive models and complex structural simulations in Fenics and our own software solutions in python and C++. The implementation and advancement of reduced order models (POD, PGD) are an important research area for an efficient computation of parameterized models
Modelling of concrete on different scales in space and time
- Regularized damage models
- Creep and Shrinkage
- Multiphysics models including temperature and moisture
Efficient simulation methods
- Reduced order models (ROM)
- Proper generalized decomposition (PGD)
- Cycle jump models for fatigue
- Modelling of contact phenomena
- Reliability analysis
Model calibration and digital twin
- Model calibration and validation using Bayesian methods
- Integration of monitor data into model updating of digital twins
- Robustness of simulation algorithms
Range of services/technical equipment
- Support for the development and implementation of simulation models
- Consulting in the area of modelling and simulation, in particular for mechanics problems
Publications of the division
In the database PUBLICA you will find publications by BAM employees.