sofia-ys/Aircraft-Design
Nov 2024 – Dec 2024
2 Months active
Languages Used
JinjaPython
Technical Skills
AerodynamicsAerospace EngineeringAircraft DesignCode CleanupData VisualizationDebugging
mateidragomirae
PROFILE
Mateidragomirae
Developed core design and structural analysis tooling for the sofia-ys/Aircraft-Design repository, focusing on wing deflection, inertia, and stress analysis workflows. Leveraged Python and scientific computing libraries to implement numerical integration, parameterized wing design, and robust plotting for visualizing structural properties. Enhanced accuracy in deflection calculations by refining integration steps and material parameters, and improved structural performance through updated design parameters for stringers, spars, and skin. Introduced modules for bending moment and stress analysis, integrating Ixx and Izz calculations with visualization to support design decisions. Emphasized code maintainability through refactoring and delivered features that enable faster, more reliable design iterations.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
22Total
Bugs
1
Commits
22
Features
5
Lines of code
1,234
Activity Months2
Your Network
9 peopleWork History
December 2024
10 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for sofia-ys/Aircraft-Design focusing on delivering a cohesive wing design and structural analysis workflow, including corrected deflection calculations, refined wing design parameters, enhanced inertia calculations visuals, and integrated stress analysis, enabling faster design iterations and more reliable performance predictions.
10 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for sofia-ys/Aircraft-Design focusing on delivering a cohesive wing design and structural analysis workflow, including corrected deflection calculations, refined wing design parameters, enhanced inertia calculations visuals, and integrated stress analysis, enabling faster design iterations and more reliable performance predictions.
December 2024
November 2024
12 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for sofia-ys/Aircraft-Design: Focused delivery on core design tooling and wing-structure analysis capabilities. Key accomplishments include delivering two primary capabilities in the Aircraft Design Tool: (1) Core scaffolding and deflection analysis to enable initial design iterations; (2) Wing Structural Analysis with Ixx calculations, interpolation-based parameterization, constants refactor, bending moment computation, and plotting. Development spanned a sequence of commits across both feature areas (2 commits for the core scaffold and 10 commits for the wing analysis), reflecting steady progress and emphasis on quality and maintainability. No major bugs were documented this month; efforts were devoted to feature delivery and stabilizing analytical workflows. Overall impact includes faster design exploration, improved structural insight, and richer visualizations to support decision-making. Technologies/skills demonstrated include Python-based numerical analysis, Ixx and bending moment calculations, interpolation techniques, plotting, modular tool design, and code refactor for maintainability.
November 2024
12 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for sofia-ys/Aircraft-Design: Focused delivery on core design tooling and wing-structure analysis capabilities. Key accomplishments include delivering two primary capabilities in the Aircraft Design Tool: (1) Core scaffolding and deflection analysis to enable initial design iterations; (2) Wing Structural Analysis with Ixx calculations, interpolation-based parameterization, constants refactor, bending moment computation, and plotting. Development spanned a sequence of commits across both feature areas (2 commits for the core scaffold and 10 commits for the wing analysis), reflecting steady progress and emphasis on quality and maintainability. No major bugs were documented this month; efforts were devoted to feature delivery and stabilizing analytical workflows. Overall impact includes faster design exploration, improved structural insight, and richer visualizations to support decision-making. Technologies/skills demonstrated include Python-based numerical analysis, Ixx and bending moment calculations, interpolation techniques, plotting, modular tool design, and code refactor for maintainability.
Activity
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Quality Metrics
Correctness74.6%
Maintainability77.2%
Architecture66.4%
Performance61.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
JinjaPython
Technical Skills
AerodynamicsAerospace EngineeringAircraft DesignCode CleanupData VisualizationDebuggingEngineering CalculationsEngineering SimulationNumerical AnalysisNumerical IntegrationNumerical MethodsParametric DesignPerformance AnalysisPythonPython Programming
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