Course detail
Modelling in Engineering Practice
FSI-RMV Acad. year: 2022/2023 Winter semester
The course offers an overview of basic knowledge in these fields: theory of systems, structure of the world of technology, theory of modelling, theory of experiment, design of technical objects, theory of statistical data processing, theory of failures and limit states, theory of deterministic chaos, theory of synergetics. It offers a possibility of a comprehensive view of technical life of technical objects.
Language of instruction
Czech
Number of ECTS credits
4
Supervisor
Learning outcomes of the course unit
Knowledge on structures, properties and behaviour of various systems, above all technical, on approaches and methods of solving stress-strain, stability and reliability problems of these systems, especially by computational and experimental modelling with application of statistical methods. Basic knowledge on deterministic chaos in behaviour of non-linear dynamic systems.
Students will get abilities of correct and pragmatic formulation of problems concerning technical systems, basic knowledge on the "art of modelling", on effective exploitation of various types of modelling in solving problems, and the ability of investigation of all processes in systems in the sense of the possibility of a deterministic and stochastic chaos.
Prerequisites
Knowledge of previous courses in Mechanics (Statics, Kinematics, Dynamics), basics in programming recommended.
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline.
Assesment methods and criteria linked to learning outcomes
Graded course-unit credit. Conditions: written test (basic terms), semester project.
Aims
The aim of the course is to learn a system approach for the solution of engineering tasks using computational and experimental modelling.
Specification of controlled education, way of implementation and compensation for absences
Active participation in exercises is necessary. Organization of lectures is specified by the teacher at the beginning of semester.
The study programmes with the given course
Programme N-IMB-P: Engineering Mechanics and Biomechanics, Master's
specialization BIO: Biomechanics, compulsory
Programme N-IMB-P: Engineering Mechanics and Biomechanics, Master's
specialization IME: Engineering Mechanics, compulsory
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
Syllabus
1. Science and engineering revolution in midway last century. Paradigm of holism in the problem solving. General system theory and system engineering.
2. Beginning and advancement of system approach. Forming of system methodology like methodology aided of Theory of systems. System approach (attributes of system approach).
3. System thinking, system branches, system algorithm – system conception. Specifics of hard, soft and mixed systems.
4. System terminology – definition of basic system terms.
5. Continuation of system terminology.
6. Problem situation, problem, scenario of causal problem solving. Hard and soft system – specificity of problem solution.
7. System concept of experiment.
8. System concept of modelling.
9. System concept of calculation modelling (classical, simulation, optimization, identification of objects, identification of systems.
10. System concept of limit states.
11. System concept of mathematical statistic.
12. Principles of chaos theory.
13. Principles of self-organization theory (synergism in first and second sense).