|
Lecturer(s)
|
-
Lenfeldová Irena, Ing. Ph.D.
-
Mertová Iva, Ing. Ph.D.
-
Čapek Lukáš, doc. Ing. Ph.D.
|
|
Course content
|
Lectures: 1. Computer representation of engineering data. A review of engineering software 2. Computer tomography 3. Manual segmentation and analysis of CT data. Algortihms of semi- and full- segmentation 4. Visualisation of CT data 5. Computer simulations: a review 6. Engineering introduction to Finite element method 7. A proper design of finite element models. Analysis and interpretation of finite element results 8. Analysis of computer model: Sensitivity and robustness 9. Calibration of finite element model: Fitting and optimization 10. Virtual design of experiment. Recent trends: machine learning, data mining and IoT Practices: 1. Basic analysis (filter, distance measure) in CT data within Paraview and ITKSnap softwares 2. Different structures visualisation: biological tissue, yarn, composites in Paraview software 3. Manual segmentation of a structure in software ITKSnap. Automatic segmentation with cluster analysis in software ITKSnap 4. Further transforming of binary mask to stl format within software MeshLab 5. Creating of volume mesh for finite element model within software NetGen. Creating of finite element mesh in software TexGen 6. Introduction to a software for finite element 7. Creating of structural model for virtual mechanical tests. Results interpretation 8. Sensitivity of computer model with respect to different parameters 9. Calibration of computer model: material models. Fitting of material model based on the real experimental observation 10. A comparison of real and experimental results of mechanical tests
|
|
Learning activities and teaching methods
|
Dialogue metods(conversation,discussion,brainstorming), Lecture, Practicum
- Class attendance
- 40 hours per semester
- Home preparation for classes
- 40 hours per semester
- Preparation for exam
- 45 hours per semester
- Preparation for credit
- 40 hours per semester
|
|
Learning outcomes
|
The course introduces students to the use of modern computer methods in the field of modeling and analysis. During the course, students will learn methods for effective work with large-scale data from modern CT scanners and their geometric representation. Furthermore, the student will be acquainted with selected environment for geometric design of longitudinal and planar textile structures and at the end will be able to analyze the basic mechanical properties of the virtual model using the finite element method.
Student gets a knowledge on computer modelling and analysis of complex structures (yarn, planar textile). The knowledge can apply in a practice for designing or optimizing.
|
|
Prerequisites
|
Student should have a knowledge on linear algebra and programming language (matlab/python).
|
|
Assessment methods and criteria
|
Combined examination
Credit for direct teaching: completion of practical exercises and a credit test Exam for direct teaching: written and oral part Credit for indirect teaching: 2x seminar work Exam for indirect teaching: written exam
|
|
Recommended literature
|
-
ANDREAUS.U., IACOVIELLO, D. ed. Biomedical Imaging and Computational Modeling in Biomechanics .Lecture Notes in Computational Vision and Biomechanics 4.. New York: Springer, 2012. ISBN 9789400742697.
-
BIDANDA, B., BARTOLO, P. ed. Virtual prototyping & bio manufacturing in medical applications.. New York: Springer, 2008. ISBN 978-0-387-68831-2.
-
MOTULSKY, H., CHRISTOPOULOS, A. Fitting models to biological data using linear and nonlinear regression: a practical guide to curve fitting.. Oxford: University Press, 2004. ISBN 0-19-517180-2.
-
WILLMORE, F. T., JANKOWSKI, E., COLINA, C. Introduction to scientific and technical computing.. Boca Raton: CRC Press, 2017. ISBN 9781498745062.
-
ZIENKIEWICZ, O., TAYLOR, R., ZHU, J.,Z. The Finite Element Method: Its Basis and Fundamentals. 6th ed.. Oxford: Elsevier Butterworth-Heinemann, 2005. ISBN 978-0-7506-6320-5.
|