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Showing 1 to 6 of 6 for “"Adjoint based sensitivity analysis"”.
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Coupled Adjoint-based Sensitivity Analysis using a FSI Method in Time Spectral Form
A time spectral and coupled adjoint based sensitivity analysis of rotor blade is carried out in this study. The time spectral method is an efficient technique to solve unsteady periodic problems by transforming unsteady equation of motion to a steady state one. Due to the availability of the …
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Experimental Sensitivity Analysis and Control of Thermoacoustic Systems in the Linear Regime
… oscillations do not arise. In thermoacoustics, adjoint-based sensitivity analysis has shown promise at predicting the parameters which have the most influence on the linear growth and decay rates as well as oscillation frequency observed during periods of linear growth and decay. Therefore, …
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Sensitivity analysis and optimization in low order thermoacoustic models
… a thermoacoustic model. In this thesis a wave-based network model is used. Using adjoint methods the gradients of the eigenvalue with respect to system parameters can be obtained at a low computational cost. This information is used as an input to an optimization routine to find stable …
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Time Spectral Adjoint Based Design for Flutter and Limit Cycle Oscillation Suppression
… candidates is key to successful design. Flutter based design requires the sensitivity of flutter parameters to be known with the respect of design parameters. Traditionally, frequency domain based methods have been used to predict flutter characteristics and its sensitivity. However, this …
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Shape optimization for thermoacoustic instability with an adjoint Helmholtz solver
… oscillations, by combining the direct and adjoint eigensolutions. We apply this model and analysis to an electrically heated Rijke tube and a turbulent swirl combustor in 2D. Both systems exhibit an unstable longitudinal mode. We parametrize the shapes using B-splines, calculate the shape …
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Adjoint Methods and Inverse Modeling for Process Variation Analysis in Silicon Photonics
… this thesis discusses two groups of methods for analysis: adjoint methods for the modeling of variation impact, and inverse modeling for measurement data analysis. In the first half of the thesis, we make necessary extensions to the adjoint methods specifically for the analysis of process …