Parameter Identification of Materials and Structures
October 6, 2003 — October 10, 2003
- Zenon Mroz (PAN - Excellence Centre AMAS, Warsaw, Poland)
- Georgios Stavroulakis (University of Ioannina, Ioannina, Greece)
The purpose of the course is to present aspects and applications of practical inverse problems and parameter identification methods for materials and structures in civil and mechanical engineering.
The theoretical part includes formulation of inverse problems in a form suitable to further treatment by available techniques (like optimisation) and taking into account the needs of engineering practice (like stochastic nature and incompleteness of data, etc).
For the numerical solution a number of novel tools will be presented. They include numerical optimisation, soft computing methods (neural networks, genetic computing), extended Kalman filters, adjoint and direct differentiation techniques, reciprocity gap methods, and response surface methods.
A number of applications will be addressed by the lecturers, all of them being active researchers, who will report on their experience from academia and industry. Crack and flaw identification based on mechanical (static or dynamic), thermal or electrical loadings will be presented. Extension to unilateral cracks models, to cohesive crack, suitable for quasi-brittle fracture in concrete dam, and more general elasto-plastic fracture, suitable for naval and offshore structures of steel pipelines, will be considered. Damage identification, relevant to strength assessment of structures after earthquakes, will be studied for portal frames, beam and plate structures by various techniques (wave propagation, impact-echo, vibration data, thermographic methods). Material parameter identification will be solved for large deformation plasticity, shape memory alloys, cohesive crack models and elasto-visco-plastic-fracture. Diagnostic identification in structural engineering (dams, bridges, concrete buildings, semi-rigid joints), material identification in thin sheet metal forming for the automotive industry, strength analysis and identification of models suitable for composite structural elements in connection with homogenisation techniques are some of the presented case studies. Civil and structural engineers, mechanical engineers and mechanical engineers working on practical inverse and quality control problems will benefit from the course.