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List of contents
Introduction. Numerical Treatment of Boundary Conditions. Discrete Time Integration Methods. DNS of Incompressible Flows. DNS of Compressible Flows. LES of Incompressible Flows. LES of Compressible Flows. Further Topics and Challenges in DNS and LES. Appendix. Index.
About the author
Xi Jiang is Senior Lecturer of Mechanical Engineering in the School of Engineering and Design at Brunel University.
Choi-Hong Lai is Professor of Numerical Mathematics in the School of Computing and Mathematical Sciences at the University of Greenwich.
Summary
Compared to the traditional modeling of computational fluid dynamics, direct numerical simulation (DNS) and large-eddy simulation (LES) provide a very detailed solution of the flow field by offering enhanced capability in predicting the unsteady features of the flow field. In many cases, DNS can obtain results that are impossible using any other means while LES can be employed as an advanced tool for practical applications. Focusing on the numerical needs arising from the applications of DNS and LES, Numerical Techniques for Direct and Large-Eddy Simulations covers basic techniques for DNS and LES that can be applied to practical problems of flow, turbulence, and combustion.
After introducing Navier–Stokes equations and the methodologies of DNS and LES, the book discusses boundary conditions for DNS and LES, along with time integration methods. It then describes the numerical techniques used in the DNS of incompressible and compressible flows. The book also presents LES techniques for simulating incompressible and compressible flows. The final chapter explores current challenges in DNS and LES.
Helping readers understand the vast amount of literature in the field, this book explains how to apply relevant numerical techniques for practical computational fluid dynamics simulations and implement these methods in fluid dynamics computer programs.
Additional text
The book can be recommended to CFD practitioners at the early stage of their academic career, such as postgraduate students and junior researchers, to understand the vast literature in the field and to apply the relevant numerical techniques.—Zentralblatt MATH 1185
