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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
Abdominal Aortic Aneurysm, Uncertainty Quantification, Bayes, Monte Carlo, Random Fields
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
Biomechanics and Modeling in Mechanobiology
Jahr:
2014
Quartal:
3. Quartal
Monat:
Sep
Heft / Issue:
14
Seitenangaben Beitrag:
489–513
Nachgewiesen in:
Web of Science
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1007/s10237-014-0618-0
Status:
Verlagsversion / published
Eingereicht (bei Zeitschrift):
20.05.2014
Angenommen (von Zeitschrift):
02.09.2014
Publikationsdatum:
23.09.2014
Semester:
SS 14
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