Abstract: In this paper, a valuebased global optimization (VGO) algorithm is introduced. The algorithm uses kriginglike surrogate models and a sequential sampling strategy based on value of information (VoI) to optimize an objective ...

Abstract: Metamodels, or surrogate models, have been proposed in the literature to reduce the resources (time/cost) invested in the design and optimization of engineering systems whose behavior is modeled using complex computer ...

Abstract: Computational fluid dynamics (CFD) simulations of wind turbine wakes are strongly influenced by the choice of the turbulence model used to close the Reynolds-averaged Navier-Stokes (RANS) equations. A wrong choice can lead ...

Abstract: Computational fluid dynamics (CFD) has been widely used to predict and understand cardiovascular flows. However, the accuracy of CFD predictions depends on faithful reconstruction of patient vascular anatomy and accurate ...