2002
DOI: 10.1002/fld.289
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The harmonic adjoint approach to unsteady turbomachinery design

Abstract: SUMMARYIn recent years, there has been rapid progress in aerodynamic optimization methods which use adjoint ow analysis to e ciently calculate the sensitivity of steady-state objective functions to changes in the underlying design variables. This paper shows that the same adjoint approach can be used in turbomachinery applications in which the primary concern is blade vibration due to harmonic ow unsteadiness.The paper introduces the key engineering concepts and discusses the derivation of the adjoint analysis… Show more

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Cited by 70 publications
(42 citation statements)
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“…The analytical model is generalised to support these regional grind times by introducing three new terms: W g,i,l,L , W g,h,l,L and W g,e,l,L for the independent, halo and execute regions respectively. After making this adjustment Equation 5 becomes Equation 9.…”
Section: A Region Grind-time Datamentioning
confidence: 99%
See 1 more Smart Citation
“…The analytical model is generalised to support these regional grind times by introducing three new terms: W g,i,l,L , W g,h,l,L and W g,e,l,L for the independent, halo and execute regions respectively. After making this adjustment Equation 5 becomes Equation 9.…”
Section: A Region Grind-time Datamentioning
confidence: 99%
“…One such example of this is HYDRA, a suite of applications in use by RollsRoyce to optimise engine designs (e.g. by reducing the effects of high cycle fatigue [9]). The aim of our research is to produce a suite of general tools that will support Rolls-Royce with moving their applications onto new HPC systems.…”
mentioning
confidence: 99%
“…In general, the adjoint equations in discrete form can be derived through either the continuous, Pironneau (1974), Jameson (1988), Anderson and Venkatakrishnan (1997), Papadimitriou and Giannakoglou (2007, or the discrete adjoint approach, Elliot and Peraire (1996), Giles and Pierce (1997), Duta et al (2002). In the former, the adjoint equations are derived as p.d.e.…”
Section: Engineering Optimizationmentioning
confidence: 99%
“…For some applications, such as turbomachinery, it is necessary to optimize a shape exposed to an unsteady flow. Recent work by Duta et al (2002) and Nadarajah et al (2003) has made excellent progress toward such a capability. Furthermore, high-fidelity multi-disciplinary optimization will become increasingly feasible.…”
Section: Challenges and Opportunitiesmentioning
confidence: 99%