sofia-ys/Aircraft-Design
Nov 2024 – Nov 2024
1 Month active
Languages Used
PythonTXTtext
Technical Skills
Aerodynamic Simulation DataAerodynamicsCFDData AnalysisData CorrectionData Visualization
AdrienEsmiol
PROFILE
Adrienesmiol
Contributed to the sofia-ys/Aircraft-Design repository by developing and refining pipelines for wing structural and aerodynamic analysis. Expanded the structural analysis workflow with new shear and bending modules, improved data ordering, and integrated plotting to enhance validation and traceability. Updated aerodynamic data processing to correct and align XFLR5 simulation outputs, ensuring consistency across Beta, Phi, CL, Cd, Cl, Cm, and related parameters. Leveraged Python for data analysis, visualization, and modular refactoring, enabling more accurate simulation fidelity and supporting iterative wing design decisions. The work emphasized end-to-end data integrity between structural and aerodynamic models, aligning simulations with physical testing expectations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
4,216
Activity Months1
Your Network
9 peopleWork History
November 2024
6 Commits • 2 Features
Nov 1, 2024Month: 2024-11 | Repository: sofia-ys/Aircraft-Design Overview: In November 2024, two key work streams were delivered to strengthen the reliability and fidelity of wing design simulations. The Wing Structural Analysis pipeline was expanded with new shear and bending modules, plotting capabilities, and refactoring to ensure correct data ordering and accurate integration. The Wing Aerodynamic Data refinement included updating data for the main wing and correcting XFLR5 outputs to reflect updated Beta, Phi, CL, Cd, Cl, Cm, XCP, YCP, ZCP and corresponding bending. These changes improve simulation fidelity, enable faster iteration, and provide stronger support for design decisions. Key outcomes include improved data integrity, end-to-end traceability between structural and aerodynamic analyses, and better alignment with physical testing expectations. Technologies/skills demonstrated: Python-based analysis pipelines, data processing and transformation, visualization/plotting, refactoring for modular architecture, and XFLR5 data integration.
6 Commits • 2 Features
Nov 1, 2024Month: 2024-11 | Repository: sofia-ys/Aircraft-Design Overview: In November 2024, two key work streams were delivered to strengthen the reliability and fidelity of wing design simulations. The Wing Structural Analysis pipeline was expanded with new shear and bending modules, plotting capabilities, and refactoring to ensure correct data ordering and accurate integration. The Wing Aerodynamic Data refinement included updating data for the main wing and correcting XFLR5 outputs to reflect updated Beta, Phi, CL, Cd, Cl, Cm, XCP, YCP, ZCP and corresponding bending. These changes improve simulation fidelity, enable faster iteration, and provide stronger support for design decisions. Key outcomes include improved data integrity, end-to-end traceability between structural and aerodynamic analyses, and better alignment with physical testing expectations. Technologies/skills demonstrated: Python-based analysis pipelines, data processing and transformation, visualization/plotting, refactoring for modular architecture, and XFLR5 data integration.
November 2024
Activity
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Quality Metrics
Correctness73.4%
Maintainability73.4%
Architecture66.6%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTXTtext
Technical Skills
Aerodynamic Simulation DataAerodynamicsCFDData AnalysisData CorrectionData VisualizationEngineering SimulationNumerical IntegrationStructural AnalysisWing DesignWing Structure Analysis
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