BibTex format
@inproceedings{Sanchez:2017,
author = {Sanchez, R and Palacios, R},
title = {Computing derivatives in nonlinear aeroelasticity using algorithm differentiation},
year = {2017}
}
Publications
Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - This paper introduces a new method to calculate design sensitivities in high-fidelity fluid-structural interactions problems. As the intended application is on aeroelastic systems, characterized by many design variables and a small number of objective functions, gradients are computed from the fully-coupled adjoint equation. This is cast here as an iterated sequence for which convergence is guaranteed. The system is finally obtained using algorithm differentiation on the fully-coupled primal problem and its solution is then sought using a block Gauss-Seidel method, which preserves the partitioned structure of the primal coupled solver. This solution architecture has been implemented in the open-source SU2 software suite for the solution of industrial-scale aeroelastic optimization problems with viscous fluids and structures with nonlinear geometric and material response.
AU - Sanchez,R
AU - Palacios,R
PY - 2017///
TI - Computing derivatives in nonlinear aeroelasticity using algorithm differentiation
ER -