228-0315/01 – Advanced modelling of structural static and dynamic tasks (PM)
| Gurantor department | Department of Structural Mechanics | Credits | 4 |
| Subject guarantor | doc. Ing. Petr Konečný, Ph.D. | Subject version guarantor | doc. Ing. Petr Konečný, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2019/2020 | Year of cancellation | 2020/2021 |
| Intended for the faculties | FAST | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
Advancing in knowledge and skills for the utilization of specialized software systems for the preparation of numerical models. Focus is given at non-linear structural response to loading considering statistical variation of input parameters.
Teaching methods
Tutorials
Summary
The subject is focused on the broadening of knowledge and skills necessary for advanced preparation of numerical models of civil engineering structures. Advanced modelling of non-linear tasks will be aimed especially at unidirectional supports, geometric nonlinearity and dynamic response of the structure to loading. Application of probabilistic approaches allows for the addressing of the random variation of input parameters.
Compulsory literature:
1. Hamming R.W. Introduction to Applied Numerical Analysis. Dover Publications, Inc., New York, 1989.
2. Felippa, C.A.: Introduction to Finite Element Method. Fall 2001. University of Colorado. 18 Sept. 2005.
https://www.colorado.edu/engineering/CAS/courses.d/IFEM.d/.
Recommended literature:
1. Hamming, R. W. Numerical Methods for Scientists and Engineers. 2. vydání. Dover Publications, Inc., New York, 1973.
2. ANSYS Inc. - ANSYS Documentation
3. University of Alberta - ANSYS Tutorials: https://sites.ualberta.ca/~wmoussa/AnsysTutorial/
4. Scia online - https://www.scia.net/en/support-downloads.
5. Marek, P. Brozzetti, J. Guštar,M. and Tikalsky, P. editors: Probabilistic Assessment of Structures using Monte Carlo Simulation.
Background, Exercises and Software. Institute of Theoretical and Applied Mechanics,Academy of Sciences of Czech Republic, Prague, 2003.
Way of continuous check of knowledge in the course of semester
Klasifikovaný zápočet
E-learning
Other requirements
Ability to partial self-study.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Nonlinear solution: Plane bar structure with unidirectional supports.
2. Geometrical nonlinear solution: Spatial bar structure.
3. Comparison of geometrically nonlinear and stability solution.
4. Dynamic response: Plane bar structure. The influence of damping.
5. Dynamic response: Spatial bar structure. The influence of damping.
6. Advanced probabilistic models: Plane bar structure. Monte Carlo method and Latin Hypercube Sampling method.
7. Advanced probabilistic models: Spatial bar structure. Response surface.
8. Advanced probabilistic models: Platform structure. Response surface.
9. Individual assignment.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction