Optimizing a Boundary-Layer-Ingestion Offset Inlet by Discrete Adjoint Approach

AIAA Journal ◽  
2010 ◽  
Vol 48 (9) ◽  
pp. 2008-2016 ◽  
Author(s):  
Byung Joon Lee ◽  
Meng-Sing Liou ◽  
Chongam Kim
Keyword(s):  
Boundary Layer ◽  
Discrete Adjoint ◽  
Adjoint Approach

Numerical Optimization of the Defrosting Performance of the Vehicle Based on Discrete Adjoint Approach

2021 ◽  
Vol 22 (1) ◽  
pp. 109-118
Author(s):  
Sishi Cao ◽  
Zhifei Zhang ◽  
Yunwei Huang ◽  
Quanzhou Zhang ◽  
Zhongming Xu
Keyword(s):  
Numerical Optimization ◽  
Discrete Adjoint ◽  
Adjoint Approach

Reduction of Airframe Noise Components Using a Discrete Adjoint Approach

2017 ◽  
Author(s):  
Beckett Zhou ◽  
Tim A. Albring ◽  
Nicolas R. Gauger ◽  
Carlos Ilario ◽  
Thomas D. Economon ◽  
...  
Keyword(s):  
Airframe Noise ◽  
Discrete Adjoint ◽  
Adjoint Approach

scholarly journals A complexity-driven framework for waveform tomography with discrete adjoints

2020 ◽  
Vol 223 (2) ◽  
pp. 1247-1264
Author(s):  
Alexandre Szenicer ◽  
Kuangdai Leng ◽  
Tarje Nissen-Meyer
Keyword(s):  
Adjoint Method ◽  
Waveform Inversion ◽  
Spectral Element ◽  
Frequency Scaling ◽  
Seismic Waveform ◽  
Discrete Adjoint ◽  
Continuous Adjoint Method ◽  
Adjoint Approach ◽  
Pseudo Spectral Method ◽  
Continuous Adjoint

Summary We develop a new approach for computing Fréchet sensitivity kernels in full waveform inversion by using the discrete adjoint approach in addition to the widely used continuous adjoint approach for seismic waveform inversion. This method is particularly well suited for the forward solver AxiSEM3D, a combination of the spectral-element method (SEM) and a Fourier pseudo-spectral method, which allows for a sparse azimuthal wavefield parametrization adaptive to wavefield complexity, leading to lower computational costs and better frequency scaling than conventional 3-D solvers. We implement the continuous adjoint method to serve as a benchmark, additionally allowing for simulating off-axis sources in axisymmetric or 3-D models. The kernels generated by both methods are compared to each other, and benchmarked against theoretical predictions based on linearized Born theory, providing an excellent fit to this independent reference solution. Our verification benchmarks show that the discrete adjoint method can produce exact kernels, largely identical to continuous kernels. While using the continuous adjoint method we lose the computational advantage and fall back on a full-3-D frequency scaling, using the discrete adjoint retains the speedup offered by AxiSEM3D. We also discuss the creation of a data-coverage based mesh to run the simulations on during the inversion process, which would allow to exploit the flexibility of the Fourier parametrization and thus the speedup offered by our method.

Aero-Thermo-Elastic Optimization Using the Discrete Adjoint Approach

2022 ◽  
Author(s):  
Soudeh Kamali ◽  
Dimitri J. Mavriplis ◽  
Zhi Yang ◽  
Evan M. Anderson
Keyword(s):  
Discrete Adjoint ◽  
Adjoint Approach

Discrete Adjoint Approach for Nonlinear Unsteady Aeroelastic Design Optimization

AIAA Journal ◽  
2019 ◽  
Vol 57 (10) ◽  
pp. 4368-4376 ◽  
Author(s):  
Jeffrey P. Thomas ◽  
Earl H. Dowell
Keyword(s):  
Design Optimization ◽  
Discrete Adjoint ◽  
Aeroelastic Design ◽  
Adjoint Approach
Sign in / Sign up

Export Citation Format

Share Document