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Adjoint-based optimization for understanding and suppressing jet noise
Jonathan B. Freund
Aerospace Engineering
Mechanical Science and Engineering
Coordinated Science Lab
National Center for Supercomputing Applications (NCSA)
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peer-review
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Keyphrases
Jet Noise
100%
Adjoint-based Optimization
100%
Quality Prediction
66%
Computational Cost
33%
General Design
33%
Simulation Techniques
33%
Design Improvement
33%
Large Eddy Simulation
33%
Design Optimization
33%
Convergence Rate
33%
Number of Parameters
33%
Optimization Methods
33%
Improved Design
33%
Single Flow
33%
Flowing Solution
33%
Aeroacoustics
33%
Adjoint System
33%
Turbulence Mechanism
33%
Advanced Simulation
33%
Nozzle Geometry
33%
Gradient Information
33%
Design Guidance
33%
Computing Resources
33%
Flow Conditions
33%
Computer Science
Computational Cost
100%
Optimization Technique
100%
Simulation Tool
100%
Design Optimization
100%
Simulation Mode
100%
Flow Condition
100%
Requires Optimization
100%
Engineering
Jet
100%
Engineering
33%
Computational Cost
33%
Simulation Tool
33%
Flow Condition
33%
Design Optimization
33%
Optimization Technique
33%
Gradient Information
33%
Flow Solution
33%
Design Guidance
33%
Simulation Mode
33%
Physics
Design Optimization
100%
Aeroacoustics
100%
Nozzle Geometry
100%
Large Eddy Simulation
100%
Mathematics
Adjoints
100%
Prediction Quality
66%
Computational Cost
33%
Necessary Condition
33%
Adjoint System
33%
Flow Condition
33%
Material Science
Large Eddy Simulation
100%