Velocity accounts for ~79% of WSS variability in the analytical model while viscosity accounts for ~59% in the patient-specific coronary model, with unary parameter interactions dominating over 93% of total variance in both cases.
Efficient sampling for polynomial chaos-based uncertainty quantification and sensitivity analysis using weighted approximate Fekete points,
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Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow
Velocity accounts for ~79% of WSS variability in the analytical model while viscosity accounts for ~59% in the patient-specific coronary model, with unary parameter interactions dominating over 93% of total variance in both cases.