Finite Elements for Multidisciplinary Optimization
Distributed Multidisciplinary Design Optimization
A custom package for distributed design optimization written in Python.
Team-built conceptual aircraft-design framework integrating sizing, aerodynamics, structures, propulsion, flight performance, optimisation and sensitivity analysis.
Statistical learning models library for blackbox optimization
Fast, benchmarked data-fit (surrogate) models (Kriging, RBF, response surfaces, ensembles) for surrogate-assisted and multidisciplinary design optimization (MDO). Analytic gradients, uncertainty, NumPy/SciPy.
Books & Papers
Human-powered aircraft multidisciplinary design and analysis framework — project overview, architecture, and verification status
conda package for ESP/CAPS hosted by smdogroup
Educational OpenMDAO benchmark for multidisciplinary design optimization using a transparent, low-fidelity guided-flight surrogate and constrained numerical optimization.
Legacy monolithic development repository for the HPA-MDO project — see hpa-mdo-framework for the current overview; the WO-006 OpenFOAM verification campaign is on the research/wo006-openfoam-campaign branch
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