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Application of surrogate-based global optimization to aerodynamic design[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	620.1064
書名/作者:	Application of surrogate-based global optimization to aerodynamic design/ edited by Emiliano Iuliano, Esther Andres Perez.
其他作者:	Iuliano, Emiliano.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xiv, 72 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Aerodynamics - Mathematical models.
標題:	Aerodynamics - Computer simulation.
標題:	Nonconvex programming.
標題:	Engineering.
標題:	Aerospace Technology and Astronautics.
標題:	Engineering Fluid Dynamics.
標題:	Engineering Design.
標題:	Simulation and Modeling.
ISBN:	9783319215068
ISBN:	9783319215051
摘要、提要註:	Aerodynamic design, like many other engineering applications, is increasingly relying on computational power. The growing need for multi-disciplinarity and high fidelity in design optimization for industrial applications requires a huge number of repeated simulations in order to find an optimal design candidate. The main drawback is that each simulation can be computationally expensive - this becomes an even bigger issue when used within parametric studies, automated search or optimization loops, which typically may require thousands of analysis evaluations. The core issue of a design-optimization problem is the search process involved. However, when facing complex problems, the high-dimensionality of the design space and the high-multi-modality of the target functions cannot be tackled with standard techniques. In recent years, global optimization using meta-models has been widely applied to design exploration in order to rapidly investigate the design space and find sub-optimal solutions. Indeed, surrogate and reduced-order models can provide a valuable alternative at a much lower computational cost. In this context, this volume offers advanced surrogate modeling applications and optimization techniques featuring reasonable computational resources. It also discusses basic theory concepts and their application to aerodynamic design cases. It is aimed at researchers and engineers who deal with complex aerodynamic design problems on a daily basis and employ expensive simulations to solve them.
電子資源:	http://dx.doi.org/10.1007/978-3-319-21506-8

Application of surrogate-based global optimization to aerodynamic design[electronic resource] /
Application of surrogate-based global optimization to aerodynamic design[electronic resource] /edited by Emiliano Iuliano, Esther Andres Perez. - Cham :Springer International Publishing :2016. - xiv, 72 p. :ill., digital ;24 cm. - Springer tracts in mechanical engineering,2195-9862. - Springer tracts in mechanical engineering..

Aerodynamic design, like many other engineering applications, is increasingly relying on computational power. The growing need for multi-disciplinarity and high fidelity in design optimization for industrial applications requires a huge number of repeated simulations in order to find an optimal design candidate. The main drawback is that each simulation can be computationally expensive - this becomes an even bigger issue when used within parametric studies, automated search or optimization loops, which typically may require thousands of analysis evaluations. The core issue of a design-optimization problem is the search process involved. However, when facing complex problems, the high-dimensionality of the design space and the high-multi-modality of the target functions cannot be tackled with standard techniques. In recent years, global optimization using meta-models has been widely applied to design exploration in order to rapidly investigate the design space and find sub-optimal solutions. Indeed, surrogate and reduced-order models can provide a valuable alternative at a much lower computational cost. In this context, this volume offers advanced surrogate modeling applications and optimization techniques featuring reasonable computational resources. It also discusses basic theory concepts and their application to aerodynamic design cases. It is aimed at researchers and engineers who deal with complex aerodynamic design problems on a daily basis and employ expensive simulations to solve them.

ISBN: 9783319215068

Standard No.: 10.1007/978-3-319-21506-8doiSubjects--Topical Terms:

602397
Aerodynamics
--Mathematical models.

LC Class. No.: TA358

Dewey Class. No.: 620.1064

Application of surrogate-based global optimization to aerodynamic design[electronic resource] /
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