User: Guest  Login
Title:

Towards Efficient Uncertainty Quantification in Complex and Large Scale Biomechanical Problems based on a Bayesian Multi Fidelity Scheme

Document type:
Zeitschriftenaufsatz
Author(s):
Biehler, J.; Gee, M.W.; Wall, W.A.
Abstract:
In simulation of cardiovascular processes and diseases patient-specific model parameters, such as constitutive properties, are usually not easy to obtain. Instead of using population mean values to perform "patient-specific" simulations, thereby neglecting the inter- and intra-patient variations present in these parameters, these uncertainties have to be considered in the computational assessment. However, due to limited computational resources and several shortcomings of traditional uncertainty...     »
Keywords:
Abdominal Aortic Aneurysm, Uncertainty Quantification, Bayes, Monte Carlo, Random Fields
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Journal title:
Biomechanics and Modeling in Mechanobiology
Year:
2014
Quarter:
3. Quartal
Month:
Sep
Journal issue:
14
Pages contribution:
489–513
Covered by:
Web of Science
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1007/s10237-014-0618-0
Status:
Verlagsversion / published
Submitted:
20.05.2014
Accepted:
02.09.2014
Date of publication:
23.09.2014
Semester:
SS 14
 BibTeX