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Reduced-Order Modelling for Flow Control

2011-05-25 Science
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Release : 2011-05-25
Genre : Science
Kind : eBook
Book Rating : 58X/5 ( reviews)

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Book Synopsis Reduced-Order Modelling for Flow Control by : Bernd R. Noack

Download or read book Reduced-Order Modelling for Flow Control written by Bernd R. Noack. This book was released on 2011-05-25. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on the physical and mathematical foundations of model-based turbulence control: reduced-order modelling and control design in simulations and experiments. Leading experts provide elementary self-consistent descriptions of the main methods and outline the state of the art. Covered areas include optimization techniques, stability analysis, nonlinear reduced-order modelling, model-based control design as well as model-free and neural network approaches. The wake stabilization serves as unifying benchmark control problem.

Data-Driven Science and Engineering

2022-05-05 Computers
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Release : 2022-05-05
Genre : Computers
Kind : eBook
Book Rating : 489/5 ( reviews)

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Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton. This book was released on 2022-05-05. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Trust-region Proper Orthogonal Decomposition for Flow Control

2000 Approximation theory
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Release : 2000
Genre : Approximation theory
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Trust-region Proper Orthogonal Decomposition for Flow Control by : E. Arian

Download or read book Trust-region Proper Orthogonal Decomposition for Flow Control written by E. Arian. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt: The proper orthogonal decomposition (POD) is a model reduction technique for the simulation of physical processes governed by partial differential equations, e.g., fluid flows. It can also be used to develop reduced order control models. Fundamental is the computation of POD basis functions that represent the influence of the control action on the system in order to get a suitable control model. We present an approach where suitable reduced order models are derived successively and give global convergence results.

Seventh IUTAM Symposium on Laminar-Turbulent Transition

2010-03-11 Science
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Release : 2010-03-11
Genre : Science
Kind : eBook
Book Rating : 233/5 ( reviews)

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Book Synopsis Seventh IUTAM Symposium on Laminar-Turbulent Transition by : Philipp Schlatter

Download or read book Seventh IUTAM Symposium on Laminar-Turbulent Transition written by Philipp Schlatter. This book was released on 2010-03-11. Available in PDF, EPUB and Kindle. Book excerpt: The origins of turbulent ?ow and the transition from laminar to turbulent ?ow are the most important unsolved problems of ?uid mechanics and aerodynamics. - sides being a fundamental question of ?uid mechanics, there are numerous app- cations relying on information regarding transition location and the details of the subsequent turbulent ?ow. For example, the control of transition to turbulence is - pecially important in (1) skin-friction reduction of energy ef?cient aircraft, (2) the performance of heat exchangers and diffusers, (3) propulsion requirements for - personic aircraft, and (4) separation control. While considerable progress has been made in the science of laminar to turbulent transition over the last 30 years, the c- tinuing increase in computer power as well as new theoretical developments are now revolutionizing the area. It is now starting to be possible to move from simple 1D eigenvalue problems in canonical ?ows to global modes in complex ?ows, all - companied by accurate large-scale direct numerical simulations (DNS). Here, novel experimental techniques such as modern particle image velocimetry (PIV) also have an important role. Theoretically the in?uence of non-normality on the stability and transition is gaining importance, in particular for complex ?ows. At the same time the enigma of transition in the oldest ?ow investigated, Reynolds pipe ?ow tran- tion experiment, is regaining attention. Ideas from dynamical systems together with DNS and experiments are here giving us new insights.

Reduced Order Methods for Modeling and Computational Reduction

2014-06-05 Mathematics
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Release : 2014-06-05
Genre : Mathematics
Kind : eBook
Book Rating : 900/5 ( reviews)

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Book Synopsis Reduced Order Methods for Modeling and Computational Reduction by : Alfio Quarteroni

Download or read book Reduced Order Methods for Modeling and Computational Reduction written by Alfio Quarteroni. This book was released on 2014-06-05. Available in PDF, EPUB and Kindle. Book excerpt: This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics. Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects. This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.

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