Simulating patient specific biofluid networks, such as blood flow in arteries, requires a complete modeling of the system. This is essential to capture physiological pressure values within such systems. However, the three-dimensional discretization of these complete networks is neither necessary nor regularly achievable with the current computing power. The latter is especially true when fluid-structure interaction (FSI) effects have to be included. Therefore, three-dimensional FSI models are trimmed at the boundary of a region of interest and coupled to zero-dimensional, one-dimensional, and lumped models, which in turn are capable of mimicking the physical behavior of the smaller parts of the network. Unfortunately, calibrating these models to obtain desired physiological pressures within three-dimensional FSI geometries has received little attention. For this reason, this work covers the implementation of reduced-dimension models, the coupling between reduced and three-dimensional FSI models and the calibration of the reduced models using inverse analysis methods. All of the mentioned tasks were applied to three-dimensional patient specific geometries of vasculature. 1     «

Simulating patient specific biofluid networks, such as blood flow in arteries, requires a complete modeling of the system. This is essential to capture physiological pressure values within such systems. However, the three-dimensional discretization of these complete networks is neither necessary nor regularly achievable with the current computing power. The latter is especially true when fluid-structure interaction (FSI) effects have to be included. Therefore, three-dimensional FSI models are tr...     »