
Anndy Jan developed and enhanced structural analysis and data workflows for the sofia-ys/Aircraft-Design repository over a three-month period. He implemented end-to-end data ingestion pipelines, interpolation utilities, and advanced visualization tools using Python, numpy, and matplotlib, enabling reproducible simulations and improved design review processes. His work included optimizing wingbox deflection, iterative shear and bending analysis, and a module for wing skin critical shear stress calculation and visualization. By addressing bugs in numerical methods and refining plotting utilities, Anndy improved analysis accuracy and maintainability, supporting faster design iterations and more reliable engineering decisions in aircraft structural design workflows.

In 2025-01, delivered a key feature in sofia-ys/Aircraft-Design: Wing skin critical shear stress analysis with calculation and visualization. The work adds a spanwise skin thickness estimator and a plotting tool to visualize critical shear stress across multiple design cases, enabling data-driven decisions for wing skin design and verification. A bug path related to skin buckling was addressed to improve robustness of the stress analysis and its visualizations. Overall impact: The new analysis module accelerates design reviews by providing engineers with clear, comparative visuals and reliable calculations for wing skin stability. This reduces iteration time, improves safety margins, and supports more informed trade-offs between weight and structural reliability. Technologies/skills demonstrated: Python-based numerical analysis, spanwise geometry modeling, data visualization, and version-controlled development; reusable analytics components suitable for integration into design workflows.
In 2025-01, delivered a key feature in sofia-ys/Aircraft-Design: Wing skin critical shear stress analysis with calculation and visualization. The work adds a spanwise skin thickness estimator and a plotting tool to visualize critical shear stress across multiple design cases, enabling data-driven decisions for wing skin design and verification. A bug path related to skin buckling was addressed to improve robustness of the stress analysis and its visualizations. Overall impact: The new analysis module accelerates design reviews by providing engineers with clear, comparative visuals and reliable calculations for wing skin stability. This reduces iteration time, improves safety margins, and supports more informed trade-offs between weight and structural reliability. Technologies/skills demonstrated: Python-based numerical analysis, spanwise geometry modeling, data visualization, and version-controlled development; reusable analytics components suitable for integration into design workflows.
December 2024 highlights for Aircraft-Design: Completed key features to strengthen structural analysis and data workflows, delivered reliability fixes, and expanded visualization capabilities. Key features delivered include Wingbox Deflection Optimization (optimized_wingbox_deflection_code, 86085b40b15e7210b60ca0b8984877ee97756f45), Iterative Shear and Bending Analysis Enhancements (iterations_cases_shear_bending; load_factors_updated; shear_bending_update), Data Import Integration (import), and Constants/Spar Height Enhancements (constants updated; getSparHeight). Plotting and Visualization were stabilized with progress on plots and critical shear plots. Bug fixes and reliability improvements include fixing shear ground plots, debugging get_ks, and multiple function fixes. These changes improve analysis accuracy, enable faster design iterations, and improve maintainability for CI and data workflows.
December 2024 highlights for Aircraft-Design: Completed key features to strengthen structural analysis and data workflows, delivered reliability fixes, and expanded visualization capabilities. Key features delivered include Wingbox Deflection Optimization (optimized_wingbox_deflection_code, 86085b40b15e7210b60ca0b8984877ee97756f45), Iterative Shear and Bending Analysis Enhancements (iterations_cases_shear_bending; load_factors_updated; shear_bending_update), Data Import Integration (import), and Constants/Spar Height Enhancements (constants updated; getSparHeight). Plotting and Visualization were stabilized with progress on plots and critical shear plots. Bug fixes and reliability improvements include fixing shear ground plots, debugging get_ks, and multiple function fixes. These changes improve analysis accuracy, enable faster design iterations, and improve maintainability for CI and data workflows.
Month 2024-11 – Performance-focused summary for the Aircraft-Design repository. Delivered end-to-end data ingestion for XFLR (new folder, data input pipeline, and file reorganization) enabling structured and reproducible simulations. Implemented interpolation utilities for CL distribution and general interpolated functions with numpy/scipy/matplotlib support, enhancing modeling fidelity and analysis workflows. Updated graphs and diagrams (WP41) to improve stakeholder communication and design review readiness. Added bending moment calculations to extend structural analysis capabilities. Fixed a double interpolation bug to improve numerical stability and reliability. Completed core module groundwork and documentation enhancements to improve maintainability and onboarding for future work.
Month 2024-11 – Performance-focused summary for the Aircraft-Design repository. Delivered end-to-end data ingestion for XFLR (new folder, data input pipeline, and file reorganization) enabling structured and reproducible simulations. Implemented interpolation utilities for CL distribution and general interpolated functions with numpy/scipy/matplotlib support, enhancing modeling fidelity and analysis workflows. Updated graphs and diagrams (WP41) to improve stakeholder communication and design review readiness. Added bending moment calculations to extend structural analysis capabilities. Fixed a double interpolation bug to improve numerical stability and reliability. Completed core module groundwork and documentation enhancements to improve maintainability and onboarding for future work.
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