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Showing 1 to 10 of 10 for “"Adjoint-based optimization"”.
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Adjoint-based optimization for inkjet printing
… with respect to boundary forcing using the adjoint method. Using gradient-based optimization algorithms, optimal waveforms are found that minimize the objective value at various final times and for geometries with increasing complexity. Physical interpretation to the optimal waveforms …
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Jet Noise Control by Adjoint-Based Optimization
"The adjoint of the perturbed and linearized compressible viscous flow equations is formulated in such a way that its solution can be used to optimize control actuation in order to reduce the noise radiated by a randomly excited two-dimensional mixing layer, which serves as near-nozzle model of a …
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Adjoint-based optimization of multiphase flows with sharp interfaces
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Adjoint-based optimization for hyperbolic balance laws in the presence of discontinuities
In this thesis, we are interested in optimization in multiphase flows using discrete adjoint-based methods. The main issues we will endeavor to study are the impact on the linearized and adjoint equations of discontinuous solutions, the behavior of the THINC-family of numerical schemes under …
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Reduced-order modeling and adjoint-based optimization of flows with fluid-structure interactions
… decomposition (POD) and Galerkin projection based reduced-order model (ROM) has been developed to represent the essential physics of a FSI system with moving solid boundaries. The ROM is able to work on both numerical and experimental two-dimensional (2D) and three-dimensional (3D) dataset, …
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An adjoint-based optimization method using the solution of gray-box conservation laws
Many design applications can be formulated as an optimization constrained by conservation laws. Such optimization can be efficiently solved by the adjoint method, which computes the gradient of the objective to the design variables. Traditionally, the adjoint method has not been able to be …
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Time-dependent adjoint-based optimization of photonic crystals and metamaterials using a stabilized finite element method
… the current research, a time-dependent discrete adjoint algorithm for optimization of electromagnetic problems is developed. The proposed algorithm improves the efficiency for gradient-based optimization. The time-dependent Maxwell equations are discretized using a semi-discrete Petrov-Galerkin …
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Adjoint-based optimization of U-bend channel flow using a multi-fidelity eddy viscosity turbulence model
… fluid dynamics (CFD) for design purposes. Optimization with CFD has largely been limited to low-fidelity simulation methods, such as Reynolds Averaged Navier Stokes (RANS), due to current computational capabilities. However, RANS has been shown to lack sufficient accuracy for certain flows. …
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Adjoint-based control of turbulent jet noise
… generally guide noise-reduction efforts so far. Adjoint-based optimization provides a unique and useful tool to pursue jet-noise reduction in a systematic approach. The adjoint of the perturbed and linearized Navier--Stokes equations is crafted to provide the control sensitivity in a direction of …
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Surface actuation based flow control for low Reynolds number flow past an airfoil
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms