What is it about?
Error propagation through a multiple linear regression is mathematically complex. Monte Carlo offers a simpler and less constrained approach but is computationally demanding. This can be overcome by using massively parallel algorithms on commercially available graphics processing cards.
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Why is it important?
It allows research into the factors affecting the ultimate performance of modeled systems without the underlying assumptions required when applying a statistical approach. The load-dependent nature of the variance is easily included in the process.
Perspectives
It was required to achieve a functional system for research into the factors affecting the performance of wind tunnel balances. Analysis by direct simulation by Monte Carlo (DSMC) was found to be a workable approach.This paper describes the use of a parallel architecture to achieve the computationally demanding process in times that make the analysis tool useful for general use in the balance laboratory and in the wind tunnel.
Mr Peter PM Bidgood
CSIR
Read the Original
This page is a summary of: Estimating Balance Uncertainty By Monte Carlo Simulation on a High-Speed Parallel architecture, January 2017, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2017-0106.
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