Sensitivity analysis for electrical detection of aortic dissection

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

In medical and patient-specific applications, uncertainty quantification and sensitivity analysis are indispensable in the process of diagnosis and decision-making. For the identification of an aortic dissection, a 3D FEM model is used to simulate an appropriate measurement setup. Based on this model, a method to evaluate the uncertainty distribution of a pre-defined parameter set is proposed. In particular, sensitivity analysis is divided into two steps. The first step involves an initial screening using the Morris method. In the second step, a sensitivity analysis is performed through a variance-based setting. Here, Polynomial Chaos Expansion (PCE) surrogate model is used. Subsequent post-processing on the study allows the computation of the representative sensitivity indices.
Originalspracheenglisch
TitelProceedings in Applied Mathematics and Mechanics
Untertitel90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)
Herausgeber (Verlag)Wiley-VCH
Seitenumfang2
Band19,1
DOIs
PublikationsstatusVeröffentlicht - Nov 2019
VeranstaltungGAMM 2019: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics - Vienna, Österreich
Dauer: 18 Feb 201922 Feb 2019

Konferenz

KonferenzGAMM 2019
LandÖsterreich
OrtVienna
Zeitraum18/02/1922/02/19

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