Multi-dimensional aircraft surface pressure interpolation using radial basis functions

Research output: Contribution to journalArticle (Academic Journal)peer-review

17 Citations (Scopus)


Multi-dimensional interpolation via radial basis functions is applied to the problem of using aircraft surface pressure data obtained both computationally and experimentally to obtain pressure distribution predictions through parameter space. In the most complicated cases, the data may be a function of spatial position, Mach number, Reynolds number, and angle of attack as well as other more intricate variables such as control surface deflections. Amalgamation of computational fluid dynamics and wind tunnel data for load prediction is currently a time-consuming task, especially given the large number of load cases that need to be evaluated to achieve aircraft certification, so that an efficient tool for making rapid estimates based on all the information available would be of great use. The approach, using radial basis functions, is tested on a combination of simple computational and experimental results and found to offer great flexibility, while still being capable of reproducing relatively detailed features of the pressure distribution.
Translated title of the contributionMulti-dimensional aircraft surface pressure interpolation using radial basis functions
Original languageEnglish
Pages (from-to)483 - 495
Number of pages13
JournalProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Publication statusPublished - Jan 2008

Bibliographical note

Publisher: IMechE


Dive into the research topics of 'Multi-dimensional aircraft surface pressure interpolation using radial basis functions'. Together they form a unique fingerprint.

Cite this