Selected projects completed in 2022
You can find other projects on the website of the FAV ZČU departments.
DG20P02OVV018
Digital archive of the NKVD/KGB files related to Czechoslovakia
The project which we are proposing aims to create an integrated archive of NKVD and KGB documents and photographs relating to the history of Czechoslovakia providing online accessibility and the possibility of searching within its breath according to various criteria (the content of the document, name and other biographical data of the individual affected by the political oppressions in the USSR, temporal and spatial categorization of the documents etc.)
DOAZARC won 1st prize in the AI and Social Contribution category in the AI AWARDS 2023 competition.
Provider: Ministry of Culture - NAKI II
Project leader: prof. Ing. Luděk Müller, Ph.D., Department of Cybernetics
Solution period: 2020–2023
20-21893S
Mechatronic tensegrities for energy efficient light robots
The project goal is a research of new energy efficient light robots created by mechatronic tensegrities. The challenge is to replace the serial robots with tensegrity mechanisms to maintain a large collision-free workspace while substantially improving the stiffness to mass ratio and overall variability of the robot. Different variants will be investigated and optimized in order to maximize workspace, dynamic stiffness and operation speed at minimum robot mass. Broad potential of controllability and observability of tensegrity by internal actuators and sensors will be investigated. The vibration suppression control will be combined with the motion control and control of internal and interaction forces. The distributed actuators bring the possibility of temporary relax of potentially colliding tendons during motion. The capability of tensegrity with spring tendons to absorb potential energy will be used for energy efficient motion/force planning and control. The most promising robots and their control strategies will be tested on virtual prototypes and simplified demonstrators.
Provider: Czech Science Foundation
Project leader: doc. Ing. Michal Hajžman, Ph.D., KME a VP3
Solution period: 2021–2023
20-26779S
Study of dynamic stall flutter instabilities and their consequences in turbomachinery application by mathematical, numerical and experimental methods
Proposed project is aimed at a study of aeroelastic instabilities arising in turbomachinery due to unsteady flows in blade cascades. The main attention will be paid to the subsonic dynamic stall flutter as one of instabilities which often encounters in low pressure steam turbine blade wheels. From the structural dynamic point of view we will deal with consequences, i.e. time and space spreading, of the flutter on the wheel after its origin. Therefore, mathematical and semi-analytical models based on the experiment will be developed for description of the stall flutter. Aeroelastic mathematical models will be based on two different numerical approaches. The first a medium fidelity for fast calculations of larger models and the other a high fidelity for detail computation of fluid dynamics model of smaller models of 2D and 3D blade cascades. Computational models will be validated by experimental results. Furthermore, the results of experiment and numerical models will help to the description and deeper understanding of the subsonic dynamic stall flutter in turbomachinery.
Provider: Czech Science Foundation
Project leader: prof. Ing. Jan Vimmr, Ph.D., KME a VP3
Solution period: 2021–2023
CZ.02.1.01/0.0/0.0/17_048/0007280
AMTMI - Application of Modern Technologies in Medicine and Industry
The project aims at development of mathematical-experimental models and software which will utilise pacient‘s anamnesis and related clinical data for creation of pacient-specific model. It is necessary to gain a thorough understanding of tissue (organ) perfusion in relation to vascular system microstructure and its pathological changes. That will enable creation of reference models (of perfusion, regeneration, hemodynamics, bone) that can be well adapted for the patient-specific study. Sensitivity analysis and identification of parameters based on clinical data will be included. This will result in precise diagnostics and it will speed up the decision-making process on appropriate therapy (surgery, conservative treatment etc.). The research also aims at modelling of high-risk hemodynamic states and at exploitation of clinical data in blood flow simulations (model personalisation). It is targeted on detailed and accurate description of tissue microstructure and quantification of tissue mechanical properties (elastic modulus, material strength). Correlation between mechanical response of the tissue and its microstructure is a goal of the project, i.e. a complex description of tissue behaviour from both macroscopic and microscopic view will be created. The project also aims at improvement of the virtual human model which is based on multi-body dynamics and finite-element analysis. An attention is paid to precising the scalability of the model based on elementary anthropometric parameters and coupling of body parts with protective and prosthetic tools. This will be employed in improvement of pacient‘s rehabilitation and in decreasing the risk of body injuries.
Provider: Ministry of Education, Youth and Sports
Project leader: prof. Ing. Jiří Křen, CSc., KME a VP3
Solution period: 2018–2022
19-04956S
Dynamic and nonlinear behaviour of smart structures; modelling and optimization
The project is concerned with modelling dynamic response of special periodic microstructures, or graded structures constituted by conventional materials. Besides nonlinear thermomechanical interactions under dynamic loading (large deformation, unilateral contact and fluid-structure interactions) at the microstructure level, also electro-mechanical coupling in porous electrostrictive elastomers, or piezoelectric skeletons saturated by electrorheological fluids will be considered. The models will be derived using homogenization approaches. Numerical methods for two-scale modelling of vibrations and propagating waves will be developed. Porosity shapes and local heterogeneity compositions will be optimized to improve effective medium properties, such as structural damping of vibrations, wave dispersion, or energy electro-mechanical transformation and harvesting. Analytical and semi-analytical methods will be developed to find optimal design of layered structures. Experiments performed on 3D printed structures will be used to validate developed models and methods.
Provider: Czech Science Foundation
Project leader: prof. Dr. Ing. Eduard Rohan, DSc., KME a VP3
Solution period: 2021–2023