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A Practical Guide to Large Scale Computational Fluid Dynamics
Ian Eames, Christian Klettner and Andre Nicolle
University College London, UK
A practical guide to large scale computational fluid dynamics
This book is a practical guide to large scale computational fluid dynamics which covers the main elements in writing large scale efficient fluid dynamics codes before considering the applications of these codes.
A Practical Guide to Large Scale Computational Fluid Dynamics begins with an overview of fluid mechanics and the different methods (experimental, analytical and numerical) of analyzing fluid problems. It provides an introduction to the finite element method and the computational challenges encountered when writing largescale code and handling large data sets. The qualitative and quantitative diagnostics, which are essential to gaining physical insight, are presented and given in the fields of turbulence, fluid-structure interaction and free-surface flows. Finally, future trends are considered.
Key features:
- Review of programming paradigms and open source high performance libraries which can be used to cut code development time.
- Extensive presentation of diagnostics which will help both numerical and experimental researchers.
- Provides validation cases which include a comprehensive list of common benchmark examples.
- Conceptual challenges from turbulent flows, fluid structure interaction and free surface flows are covered.
- Current state of the art research is described.
- Accompanied by a website hosting software and tutorials.
The book is essential reading for postgraduate students, post-doctoral researchers and principal investigators who are writing large scale fluid mechanics codes and working with large datasets.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Ian Eames, University College London, UK
Dr. Eames is a Professor in the Department of Mechanical Engineering at University College London. In 2003 he was appointed a Reader in fluid mechanics and his research interest in this area involve conceptual development in multiphase flows, practical applications to engineering problems, and health/medical related research.
Andre Nicolle and Christian Klettner, National University Hospital Singapore, Singapore
Dr. Nicolle and Dr. Klettner are post-doctoral researchers at the National University Hospital Singapore. Their main area of expertise is in high performance computing applied to the finite element method.
Dalla quarta di copertina
This book is a practical guide to large scale computational fluid dynamics which covers the main elements in writing large scale efficient fluid dynamics codes before considering the applications of these codes.
A Practical Guide to Large Scale Computational Fluid Dynamics begins with an overview of fluid mechanics and the different methods (experimental, analytical and numerical) of analyzing fluid problems. It provides an introduction to the finite element method and the computational challenges encountered when writing largescale code and handling large data sets. The qualitative and quantitative diagnostics, which are essential to gaining physical insight, are presented and given in the fields of turbulence, fluid-structure interaction and free-surface flows. Finally, future trends are considered.
Key features:
- Review of programming paradigms and open source high performance libraries which can be used to cut code development time.
- Extensive presentation of diagnostics which will help both numerical and experimental researchers.
- Provides validation cases which include a comprehensive list of common benchmark examples.
- Conceptual challenges from turbulent flows, fluid structure interaction and free surface flows are covered.
- Current state of the art research is described.
- Accompanied by a website hosting software and tutorials.
The book is essential reading for postgraduate students, post-doctoral researchers and principal investigators who are writing large scale fluid mechanics codes and working with large datasets.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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