Course detail
Digital Techniques for Architects
FA-KARAcad. year: 2020/2021
Static analysis of digital model applied to selected tasks. Basics of static model assembly, analysis of internal forces, optimization using genetic algorithms. More advanced methods such as force flow finding and BESO optimization. Structural optimization - topostructure. The conclusion will be devoted to the analysis of own and canonical projects. Student completes the seminar paper. Students will be evaluated based on the submission of the seminar work.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
2. Building a basic model, data import and manipulation.
3. Basic structural models and their applications.
4. Advanced modelling methods, definition of digital and parametric model.
5. Introduction to shells and continuous structures, analysis and optimization.
6. Introduction to digital model optimization using genetic algorithms.
7. Comprehensive optimization methods using Cross section optimization.
8. Comprehensive optimization methods using BESO optimization.
9. Data visualization and their further interpretation.
10. Application of the digital model to the students project.
11. Developing optimization options and customizing your own project.
12. Application of optimization using genetic algorithms for own project and data visualization.
13. Final presentation of the students‘ projects.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading