Suggested readings

Introduction to Uncertainty Quantification, T.J. Sullivan, Springer, 2015

Numerical Methods for Stochastic Computations: a spectral method approach, Dongbin Xiu, Princeton University Press, 2010

Mesh generation: Application to Finite Elements, P.J. Frey, P.L. George, Wiley, 2010

Numerical Computation of Internal and External Flows: the fundamental of Computational Fluid Dynamics, 2nd Ed., C. Hirsch, Elsevier-BH, 2007

Essential Computational Fluid Dynamics, O. Zikanov, Wiley, 2010

Turbulence modelling for CFD, 3rd Ed., D.C. Wilcox, DCW Industries Inc, 2006

Computational methods for multiphase flow, 1st Ed., A. Prosperetti, G. Tryggvason, Cambridge, 2009

Review of design optimization methods for turbomachinery aerodynamics, Z. Li, X. Zheng, Progress in Aerospace Sciences, 93, 2017

Lecture notes on optimization methods (http://adl.stanford.edu/aa222/Home.html)

Fully turbulent discrete adjoint solver for non-ideal compressible flow applications, S. Vitale, T. Albring, M. Pini, N. Gauger, P. Colonna, Journal of the Global Power and Propulsion Society, 2017.

State of the Art in Mapping Schemes for Dilute and Dense Euler-Lagrange Simulations, S. Radl, B. González, C. Goniva, S. Pirker, in: 10th Int Conf CFD Oil Gas Metall Process Ind SINTEF, Norway, 2014.

Fluid and particle coarsening of drag force for discrete-parcel approach, A. Ozel, J. Kolehmainen, S. Radl, S. Sundaresan, Chem Eng Sci. 155 (2016) 258–267. doi:10.1016/j.ces.2016.08.014. https://www.sciencedirect.com/science/article/pii/S0009250916304365.

Bridging Scales in Modelling and Simulation of Non-Reacting and Reacting Flows, Part II, A. Parente, J. de Wilde, Advances in Chemical Engineering, 53, Elsevier B.V., Amsterdam, The Netherlands, 2018. https://authors.elsevier.com/b/1X9sDErLN1dNJ