SUAVE is a conceptual level aircraft design environment built with the ability to analyze and optimize both conventional and unconventional designs. This capability is achieved in part by allowing analysis information for aircraft to be drawn from multiple sources. Many other software tools for aircraft conceptual design rely on fixed empirical correlations and other handbook approximation. SUAVE instead provides a framework that can be used to design aircraft featuring advanced technologies by augmenting relevant correlations with physics-based methods.
Released in LGPL 2.1. The open source license enables commercial industry and academia to collaborate together.
Built on the latest versions of SciPy, NumPy, and scikit-learn for maximum portability and flexibility.
Physics based analysis combined with proven correlations allows SUAVE to perform multifidelity optimization.