Computational Biofluid , Aero and Thermal Dynamics
||Computational Biofluid , Aero and Thermal Dynamics|
||SNIC Large Compute|
||Matts Karlsson <email@example.com>|
||2020-01-01 – 2021-01-01|
||20306 20304 20603|
This project includes three different sub-areas (BIOFLUID, AERO and THERMAL) within Computational Mechanics and Engineering. Each sub-area utilize a combination of scale-resolved fluid dynamics simulations symbiotically with high resolution experimental measurements.
BIOFLUID DYNAMICS: Patient specific models of cardiovascular flow (heart and blood vessels). Gaining increased understanding of the normal and abnormal blood flow in the human body we target intervention planning, follow-up and diagnostic aid for different reconstruction procedures. In order to establish such capability, a thorough understanding of normal flow conditions is required. We utilize basic principles of fluid dynamics and modelling and simulation capabilities from computational engineering and high-performance computing in combination with modern imaging modalities. Specifics: Validation of CFD-CT vs MRI in different flow conditions, development of 4D flow CT as a clinical tool. Validation of atlas-based automatic meshing for clinical quality vascular simulations, Uncertainty quantification (UQ) of flow inlet to heart model and detailed studies of the intra-ventricular flow patterns, Detailed analysis of turbulent flow and Reynolds stresses and comprehensive post-processing for further understanding and subsequent clinical applicability. DNS to study synthetic stenosis geometries. What-if scenarios of patient specific artificial heart valves (size, type, location). Building the next generation personalized avatars using high resolution imaging and CFD later reconfigured into a reduced order model.
AERODYNAMICS: Enhance the aerodynamic performance of the complete high capacity transport vehicles by improving aerodynamic efficiency of swap bodies, trailers and other parts by separate manufactures and/or shape of the body. We use different geometries (passenger cars) as well as complex flow situations (platooning). Specifics: validation of LES and SBES simulation of simplified geometries vs water tunnel and wind tunnel data, simulation of full-scale timber vehicle, long-haul trucks and passenger vehicles. Validation against wind tunnel data, yaw angle dependence on full vehicle, effects of atmospheric boundary layer and different weather conditions and stake optimization, simulation of passenger cars in wind tunnel (DrivAer) and optimization of light truck prototypes. Optimization of vehicle configurations.
THERMAL DYNAMICS: The strong flow unsteadiness and mixing effects from stator-rotor blade interactions and cooling injections call for time accurate numerical simulations which are computationally expensive. We focus on efficient strategies for simulation combined with investigations of turbulence models that are applicable for predictive usage as well as optimization. The investigation of coupled (fluid-thermal) problems also includes the multi-phase problem of water-hammer induced cavitation. Simulations of chemical vapor deposition includes a multi-scale approach spanning many orders of magnitude; fundamental, modeling and high-performance computing. Specifics: Multi-phase flow simulations at very high temporal and spatial resolution for cavitation location prediction using URANS and scale resolved methods. Hose dynamics includes time-domain 3D-FSI and linearized frequency-domain simulations. Detailed flow simulation strategies for flow in large- and small-scale turbines, simulation of orifice/turbine flow and validation against experimental data for enhanced predictability and further development of simulation-based correlations. CFD of reacting flows in CVD particularly using scale-resolving techniques.