AD-based perturbation methods for uncertainties and errors. (1st March 2010)

• Record Type: Journal Article
• Authors: Martinelli, M.; Dervieux, A.; Hascoet, L.; Pascual, V.; , A. Belme
• Is Part Of: International journal of engineering systems modelling and simulation. Volume 2:Number 1/2(2010)
• Page Start: 65
• Page End: 74
• Publication Date: 2010-03-01
• Subjects: automatic differentiation -- second-order derivatives -- uncertainty -- error correction -- design -- CFD -- systems modelling -- simulation -- perturbation methods -- errors -- compressible flow -- aircraft -- CFD -- computational fluid dynamics; Engineering systems -- Computer simulation -- Periodicals; Engineering systems -- Mathematical models -- Periodicals; 620.0042
• Languages: English
• ISSNs: 1755-9758

Abstract

The progress of automatic differentiation (AD) and its impact on perturbation methods is the object of this paper. AD studies show an important activity for developing methods addressing the management of modern CFD kernels, taking into account the language evolution and intensive parallel computing. The evaluation of a posteriori error analysis and of resulting correctors will be addressed. Recent works in the AD-based construction of second-derivatives for building reduced-order models based on a Taylor formula will be presented on the test case of a steady compressible flow around an aircraft.