Project CEMAPRE internal
|Title||Aneyrism tool: model updating, uncertainty quantification and validation|
|Participants||Alda Carvalho (Principal Investigator), Tiago Silva, José Xavier|
|Summary||Thoracic aortic aneurysm is a disease with an incidence of about 5-10/100,000 persons per year.|
There are two factors considered to be predominant: genetic and hemodynamic. Numerical simulations
for haemodynamic in thoracic aortic aneurysm will be analysed. This project will concentrate efforts
on the statistical survey of the uncertain modelling parameters and on the identification of the
most adequate strategy for uncertainty quantification and model validation [1, 2].
This project will be developed in tight collaboration with the team members developing the numerical
modelling and collecting data from imaging and ex-vivo measurements. The test and validation of the
attained model predictions are assessed upon reference data, providing insight on the accuracy and
validity to support clinical decisions. This task is thought to contribute to the state-of-the-art
in uncertainty quantification and model validation, in the framework of biomedical applications.
Scripting algorithm coding either in Matlab or Python (Jupyter Notebooks) will be open-source and
shared with the community using a GitHub channel with a license protocol.
 Carvalho, A, Silva, TAN, Loja, MAR (2018) Assessing Static and Dynamic Response Variability due
to Parametric Uncertainty on Fibre-Reinforced Composites. Journal of Composites Science 2(1): 6.
 Carvalho, A, Silva, T, Loja, MAR, Damásio, FR (2017) Assessing the influence of material and
geometrical uncertainty on the mechanical behavior of functionally graded material plates. Mechanics
of Advanced Materials and Structures 24(5):417-426.