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research-article

Multi-fidelity recursive cokriging for dynamic systems' response modification

[+] Author and Article Information
Luigi Bregant

Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy
bregant@units.it

Lucia Parussini

Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy
lparussini@units.it

Valentino Pediroda

Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy
pediroda@units.it

1Corresponding author.

ASME doi:10.1115/1.4040597 History: Received December 01, 2017; Revised June 19, 2018

Abstract

In order to perform the accurate tuning of a machine and improve its performance to the requested tasks, the knowledge of the reciprocal influence among the system's parameters is of paramount importance to achieve the sought result with minimum effort and time. Numerical simulations are an invaluable tool to carry out the system optimization, but modeling limitations restrict the capabilities of this approach. On the other side, real tests and measurements are lengthy, expensive and not always feasible. This is the reason why a mixed approach is presented in this work. The combination, through recursive cokriging, of low fidelity, yet extensive, numerical model results, together with a limited number of highly accurate experimental measurements, allows to understand the dynamics of the machine in an extended and accurate way. The results of a controllable experiment are presented and the advantages and drawbacks of the proposed approach are also discussed.

Copyright (c) 2018 by ASME
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