Application of Surrogate-based Global Optimization to Aerodynamic Design (Record no. 51807)

000 -LEADER
fixed length control field 03444nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-319-21506-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220219.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151005s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319215068
-- 978-3-319-21506-8
082 04 - CLASSIFICATION NUMBER
Call Number 629.1
245 10 - TITLE STATEMENT
Title Application of Surrogate-based Global Optimization to Aerodynamic Design
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 72 p. 33 illus., 22 illus. in color.
490 1# - SERIES STATEMENT
Series statement Springer Tracts in Mechanical Engineering,
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Iuliano, Emiliano.
700 1# - AUTHOR 2
Author 2 P�erez, Esther Andr�es.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-21506-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer simulation.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Fluid mechanics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering design.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Aerospace engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Astronautics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Aerospace Technology and Astronautics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Fluid Dynamics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Design.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Simulation and Modeling.
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-- 2195-9862
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-- ZDB-2-ENG

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