97903 - Computational Biomechanics

Course contents

The course "Computational Biomechanics", part of the integrated course "Biomechanics", will focus on the biomechanics of solids, leaving all aspects of the biomechanics of human movement to the course "Biomechanics of Motor Function". The contents of the course of Computational Biomechanics this year will be:

- Introduction to the course

- Elements of tensor calculus and solid mechanics

- The Finite Element Method

- Skeletal Pathophysiology and Mechanobiology

- Credibility of predictive models

- Stochastic modelling

- Can nature be predicted? In silico medicine

- Machine Learning in Biomechanics

- Clinical applications of digital twins

- Industrial Applications of In Silico Trials

- Experimental validation of models

Readings/Bibliography

Viceconti, M. Multiscale Modeling of the Skeletal System. Cambridge University Press, ISBN: 978-0521769501.

Syllabus of the course.

Teaching methods

The course is organised in two components: live lectures for frontal teaching and a hands-on computer modelling laboratory with state-of-the-art software (Ansys).

To attend the lab activities, all students must have achieved Modules 1 and 2 on Health and Safety online.

Assessment methods

Oral examination.

To ensure a practical understanding of the modelling techniques covered in the course, all exercises must be submitted before taking the exam and recording the grade. They can contribute a small part to the final grade.

Given the advanced nature of the course, whose content changes every year in line with the evolution of research in the sector, attendance at lectures and tutorials is strongly recommended.

Teaching tools

- Ansys Mechanical for Finite Element Analysis

Links to further information

https://youtu.be/V-EsZQctQJ0

Office hours

See the website of Marco Viceconti

See the website of Alessandra Aldieri