Aerodynamic shape optimization using simultaneous pseudo-timestepping

DOI10.1016/j.jcp.2004.10.007zbMath1143.76564OpenAlexW2018314069MaRDI QIDQ1777040

Volker H. Schulz, Joël Brezillon, Nicolas R. Gauger, Subhendu Bikash Hazra

Publication date: 12 May 2005

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2004.10.007

zbMATH Keywords

Euler equationsPreconditionerShape optimizationAirfoilOne-shot methodReduced SQP methodsSimultaneous pseudo-timestepping

Mathematics Subject Classification ID

Related Items (34)

Intrusive acceleration strategies for uncertainty quantification for hyperbolic systems of conservation laws ⋮ Robust preconditioned one-shot methods and direct-adjoint-looping for optimizing Reynolds-averaged turbulent flows ⋮ One-shot pseudo-time method for aerodynamic shape optimization using the Navier-Stokes equations ⋮ New results for the handling of additional equality constraints in one-shot optimization ⋮ Aerodynamic shape optimization using first and second order adjoint and direct approaches ⋮ Bayesian uncertainty quantification of turbulence models based on high-order adjoint ⋮ Automated divertor target design by adjoint shape sensitivity analysis and a one-shot method ⋮ Flow simulation and shape optimization for aircraft design ⋮ Real-Time PDE Constrained Optimal Control of a Periodic Multicomponent Separation Process ⋮ One-Shot Approaches to Design Optimzation ⋮ Pseudotransient continuation for solving systems of nonsmooth equations with inequality constraints ⋮ Simultaneous single-step one-shot optimization with unsteady PDEs ⋮ Adaptive sequencing of primal, dual, and design steps in simulation based optimization ⋮ Computation of the Hessian matrix in aerodynamic inverse design using continuous adjoint formulations ⋮ On the Connection Between Forward and Optimization Problem in One-shot One-step Methods ⋮ Shape sensitivity analysis for a microchannel cooling system ⋮ Continuous and discrete adjoint approaches for aerodynamic shape optimization with low Mach number preconditioning ⋮ Simultaneous pseudo-time stepping for 3D aerodynamic shape optimization ⋮ Continuous adjoint approach to the Spalart-Allmaras turbulence model for incompressible flows ⋮ The continuous direct-adjoint approach for second-order sensitivities in viscous aerodynamic inverse design problems ⋮ Two dimensional shape optimization using partial control and finite element method for compressible flows ⋮ A practical globalization of one-shot optimization for optimal design of tokamak divertors ⋮ Oscillation mitigation of hyperbolicity-preserving intrusive uncertainty quantification methods for systems of conservation laws ⋮ Efficient shape optimization for certain and uncertain aerodynamic design ⋮ Pseudo-timestepping and verification for automatic differentiation derived CFD codes ⋮ Adjoint wall functions: a new concept for use in aerodynamic shape optimization ⋮ Automatic transition from simulation to one-shot shape optimization with Navier-Stokes equations ⋮ On the treatment of distributed uncertainties in PDE-constrained optimization ⋮ The vertex morphing method for node-based shape optimization ⋮ On an extension of one-shot methods to incorporate additional constraints ⋮ Augmenting the one-shot framework by additional constraints ⋮ A non-intrusive parallel-in-time approach for simultaneous optimization with unsteady PDEs ⋮ Nonlinear optimal control strategies for buoyancy-driven flows in the built environment ⋮ Entropy–Based Methods for Uncertainty Quantification of Hyperbolic Conservation Laws

Uses Software

• MEGAFLOW

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Special issue: SQP-based direct discretization methods for practical optimal control problems
• Simultaneous pseudo-timestepping for PDE-model based optimization problems
• Practical shape optimization for turbine and compressor blades by the use of PRSQP methods
• The MEGAFLOW project
• On optimum design in fluid mechanics
• On optimum profiles in Stokes flow
• Pseudo‐differential operators
• The Continuous Adjoint Approach in Aerodynamic Shape Optimization
• Parallel Lagrange--Newton--Krylov--Schur Methods for PDE-Constrained Optimization. Part I: The Krylov--Schur Solver
• An algebra of pseudo‐differential operators
• Solving discretized optimization problems by partially reduced SQP methods

This page was built for publication: Aerodynamic shape optimization using simultaneous pseudo-timestepping