Dear colleagues,
Registration is open for the worksho p "Introduction to Biomechanical
Computer Simulation: Finite Element An alysis Applied to Biosciences
- 6th ed.", May 13-18, 2019, Barcelona (S pain).
Instructors: Dr. Josep Fortuny (ICP, Spain), Dr. Jordi Marc 33;-Nogué (Universität Hamburg, Germany) and Dr. Michael Berthaum e
(Imperial Collegue London, UK).
PLACE: Facilities of the Institut C atalà de Paleontologia Miquel
Crusafont, Sabadell, Barcelona.
Mo re information and registration:
[1]
https://www.transmittingscience.org/courses/functional-morphology/f
inite-element-analysis-applied-life-sciences/ or writing to
courses@tra
nsmittingscience.org
FEA is a non-invasive modelling technique, based on the principle of
dividing a system into a finite number of discrete ele ments where
the equations are applied. Although static and dynamic analysis can
be solved using FEA, in this course only static analysis will be
cover ed. In this course, there will be an introduction to the Finite
Element in order to model biological structures and understand how
they worked. It wil l cover all the steps involved in FEA (for static
analysis) except the crea tion or reconstruction of the model, which
will be covered in the previous course "3D Model Generation in
Biosciences". That is how to define the material properties of
biological structures, the use of a consistent M esh Generation
Methods, the proper definition of biomechanical boundary con ditions
and finally, how understand and analyse the results obtained in a c omputational simulation.
This course is co-organized by Transmit ting Science and the Institut
Catalá de Paleontologia M. Crusafont. Pl aces are limited and will be
covered by strict registration order.
Please feel free to distribute this information between your
colleagues if you consider it appropriate.
Other Transmitting Science courses:
https://www.transmittingscience.org/courses/
With best regards
Sole
Soledad D e Esteban-Trivigno, PhD
Scientific Direct or
Transmitting Science
www.transmittingscience.org
References
1. 3D"
https://www.transmittingscience/