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.
|Title of host publication||Proceedings in Applied Mathematics and Mechanics|
|Subtitle of host publication||90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)|
|Number of pages||2|
|Publication status||Published - Nov 2019|
|Event||GAMM 2019: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics - Vienna, Austria|
Duration: 18 Feb 2019 → 22 Feb 2019
|Period||18/02/19 → 22/02/19|