Introduction

Slawomir Koziel and Leifur Leifsson
Additional contact information
Slawomir Koziel: Reykjavik University, Engineering Optimization & Modeling Center
Leifur Leifsson: Iowa State University, Department of Aerospace Engineering

Chapter Chapter 1 in Simulation-Driven Design by Knowledge-Based Response Correction Techniques, 2016, pp 1-6 from Springer

Abstract: Abstract Computer simulations have become the principal design tool in many engineering disciplines. They are commonly used for verification purposes, but also, more and more often, directly utilized within the design process, e.g., to adjust geometry and/or material parameters of the system of interest so that given performance requirements are satisfied. As a matter of fact, simulation-driven design has become a necessity for a growing number of devices and systems, where traditional approaches (e.g., based on design-ready theoretical models) are no longer adequate. One of the reasons is the increasing level of complexity of engineering systems, as well as various system- and component-level interactions, which have to be taken into account in the design process (Koziel and Ogurtsov 2014a). A reliable evaluation of the system performance can only be obtained (apart from physical measurements of the fabricated prototype) through high-fidelity computer simulations (typically, these simulations are computationally expensive).

Keywords: Computational Fluid Dynamic; Sequential Quadratic Programming; Gaussian Process Regression; Objective Function Evaluation; Efficient Global Optimization (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-30115-0_1

Ordering information: This item can be ordered from
http://www.springer.com/9783319301150

DOI: 10.1007/978-3-319-30115-0_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().