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Simulation-Driven Aerodynamic Design Using Vari. Leifur, Koziel<|
Simulation-Driven Aerodynamic Design Using Vari. Leifur, Koziel<|
Simulation-Driven Aerodynamic Design Using Vari. Leifur, Koziel<|

Simulation-Driven Aerodynamic Design Using Vari. Leifur, Koziel<|

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SIMULATION-DRIVEN AERODYNAMIC DESIGN USING VARIABLE-FIDELITY MODELSAuthor(s): Leifur Leifsson, Slawomir Koziel\nFormat: Hardback\nPublisher: Imperial College Press, United Kingdom\nImprint: Imperial College Press\nISBN-13: 9781783266289, 978-1783266289\nSynopsis\nComputer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore [url] book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics .

Simulation-Driven Aerodynamic Design Using Vari. Leifur, Koziel<|

SIMULATION-DRIVEN AERODYNAMIC DESIGN USING VARIABLE-FIDELITY MODELSAuthor(s): Leifur Leifsson, Slawomir Koziel\nFormat: Hardback\nPublisher: Imperial College Press, United Kingdom\nImprint: Imperial College Press\nISBN-13: 9781783266289, 978-1783266289\nSynopsis\nComputer simulations is a fundamental tool of the design process in many engineering disciplines including aerospace engineering. However, although high-fidelity numerical models are accurate, they can be computationally expensive with evaluation time for a single design as long as hours, days or even weeks. Simulation-driven design using conventional optimization techniques may be therefore [url] book explores the alternative: performing computationally efficient design using surrogate-based optimization, where the high-fidelity model is replaced by its computationally cheap but still reasonably accurate representation: a surrogate. The emphasis is on physics-based surrogates. Application-wise, the focus is on aerodynamics .

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