mdo

Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

An Aircraft Design Toolbox

NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, exposed to end-users in pure Python/NumPy.

The Microsoft Defender for Office 365 Recommended Configuration Analyzer (ORCA)

DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization

xflrpy is a python enabled version of xflr5 for scripting and design optimization.

Materials for my Structural and Multidisciplinary Design Optimization course

Defender Resource Hub

High-aspect-ratio composite wing nonlinear aeroelastic toolbox

An object-oriented Python 3 GUI and API for single- and multi-element parametric airfoil design, analysis, and optimization

Multifidelity Kriging, Efficient Global Optimization

Multifidelity aeroelastic optimization with application to a BWB

Mapping, Radial Basis Function, RBF, FSI

Python toolkit for parametric modeling, simulation, 3D visualization, and multidisciplinary design optimization (MDO) of axial-flux permanent-magnet motors

Open-source Link between AGILE and OpenMDAO

Structural Wing Model Reduction in Fluid-Structure Interactions

A dynamic, graph-driven Multidisciplinary Design Optimization (MDO) framework integrating FalkorDB, GEMSEO, and multi-fidelity surrogate models.

Automated multi-fidelity conceptual design and optimization pipeline for aerospace vehicles

Assignment for the TU Delft Master Course: AE4205 MDO for Aerospace Applications

derived from openaerostruct