Online from: 1984
Subject Area: Mechanical & Materials Engineering
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|Title:||System development and application of Taylor Kriging metamodeling|
|Author(s):||Heping Liu, (Industrial and Systems Engineering, Auburn University, Auburn, Alabama, USA), Yanli Chen, (Chemical Engineering, Auburn University, Auburn, Alabama, USA), Fred L. Strickland, (Computer Information Science, Troy University Montgomery Campus, Montgomery, Alabama, USA), Ran Dai, (Department of Aeronautics and Astronautics, University of Washington, Seattle, Washington, USA), Bing Qi, (Mathematics and Computer Science, Talladega University, Talladega, Alabama, USA)|
|Citation:||Heping Liu, Yanli Chen, Fred L. Strickland, Ran Dai, Bing Qi, (2011) "System development and application of Taylor Kriging metamodeling", Engineering Computations, Vol. 28 Iss: 3, pp.220 - 241|
|Keywords:||Interpolation, Modelling, Statistical methods, Systems software|
|Article type:||Research paper|
|DOI:||10.1108/02644401111118123 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
Purpose – The purpose of this paper is to develop an application software interpolation system based on Taylor Kriging (TK) metamodeling, and apply the developed software system to addressing some engineering interpolation problems.
Design/methodology/approach – TK is a novel Kriging model where Taylor expansion is used to identify the base functions of drift function in Kriging. The paper explains the methodology of TK, illustrates the development of software, and reports the results of two case studies by comparing TK with several regression methods.
Findings – TK has the advantage of interpolation accuracy, and the developed Kriging software system is useful and can be conveniently manipulated by users.
Practical implications – The developed software system can benefit practical engineering applications that need accurate interpolations under limited observations.
Originality/value – This paper develops an application software interpolation system based on a novel TK metamodel, and the practical engineering applications show that it can provide accurate interpolations under limited observations.
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