- Docente: Marco Viceconti
- Credits: 6
- SSD: ING-IND/34
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Cesena
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Corso:
Second cycle degree programme (LM) in
Biomedical Engineering (cod. 9266)
Also valid for Campus of Bologna
Second cycle degree programme (LM) in Electronic Engineering (cod. 0934)
Campus of Bologna
Second cycle degree programme (LM) in Mechanical Engineering (cod. 5724)
Campus of Bologna
Second cycle degree programme (LM) in Mechanical Engineering (cod. 5724)
Learning outcomes
At the end of the module, the student will master advanced computational tools for the analysis of the musculoskeletal system, also in the presence of prosthetic devices.
Learn to integrate image data with biomechanics models. Cross-validation with results obtained from in-vitro and in-vivo experimentation.
Acquires theoretical-practical understanding of continuum mechanics and finite element method, as well as numerical methods for finite element modelling of nonlinear problems such as large displacements, contact, plasticity, etc.
Acquires theoretical-practical understanding of multibody dynamics modelling of human movement, and related motor control.
Familiarise yourself with widely used commercial programs. Develop skills in formulating and solving structural and functional biomechanics problems.
Course contents
With the start of the new curriculum Biomechanics for Mechanical Engineering, we reorganised our biomechanics lectures. The new “Biomechanics” integrated course is organised in two six-credits units called Experimental Biomechanics” and “Computational Biomechanics”. The latter is the merge of two previous courses, one with the same name and one called “Biomechanics of the Motor Function”.
Pre-recorded lectures: since students with different background attend this module, we offer a series of pre-recorded lectures on fundamental aspects that are necessary for the rest of the course:
- Elements of physiology of the musculoskeletal system
- Elements of tensor calculus and solid mechanics
- The Finite Element Method
- Modelling motor function – Part 1
- Modelling motor function – Part 2
- Methods to measure human movement
Live lectures will cover the following arguments:
- Introduction to the course: can we predict nature?
- Introduction to In Silico Medicine
- Skeletal Mechanobiology
- Modelling motor control
- Modelling sub-optimal motor control
- Stochastic modelling
- Applications:
o Predicting the risk of bone fracture
o Predicting the failure of joint replacements
o Modelling the kinematics of the human spine
o Differential diagnosis of dynapenia
- Credibility of predictive models – part 1
- Credibility of predictive models – part 2
Readings/Bibliography
Viceconti, M. Multiscale Modeling of the Skeletal System. Cambridge University Press, ISBN: 978-0521769501.
Latash, M. L. Fundamentals of Motor Control. Academic Press, ISBN: 978-0124159563.
Teaching methods
The course is organised in three components: pre-recoded lectures, to align the background of all students; live lectures for frontal teaching; hands-on computer modelling laboratory with state of the art software.
As concerns the teaching methods of this course unit, all students must attend Module 1, 2 on Health and Safety online.
Assessment methods
Oral examination.
In order to ensure a hands-on understanding of the modelling techniques covered by the course, the lab reports do not contribute to the final grade, but must all be delivered before taking the exam and verbalising the mark.
Given the advanced nature of the course, the contents of which change every year according to the evolution of research in the sector, attendance at lectures and exercises is strongly recommended.
Teaching tools
- Ansys Mechanical for Finite Element Analysis
- OpenSim for human movement dynamics modelling
Office hours
See the website of Marco Viceconti