huciupaul/SHTARWaRS
May 2025 – Jun 2025
2 Months active
Languages Used
CSVPython
Technical Skills
Data AnalysisData VisualizationEngineeringEngineering DesignEngineering SimulationFile I/O
aitorbilbao
PROFILE
Aitorbilbao
Aitor Bilbao developed core simulation and design features for the huciupaul/SHTARWaRS repository, focusing on hydrogen tank modeling and sustainability analytics. He engineered a modular Tank class in Python, integrating thermal and pressure physics, multi-material wall support, and safety factors such as venting and minimum wall thickness. His work included CSV-based data persistence and plotting readiness, as well as life cycle assessment calculations to quantify CO2 emissions and embodied energy. In June, he standardized material designations and refined Torispherical head dimensions, improving design accuracy and traceability. The work demonstrated depth in numerical simulation, object-oriented programming, and mechanical engineering principles.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
4
Lines of code
3,195
Activity Months2
Your Network
9 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 - huciupaul/SHTARWaRS: Delivered a key feature in the tank design module by standardizing material designations and refining Torispherical head dimensions. Updated material names to 'S-Glass Fiber' and 'Carbon Fiber' and adjusted initial Torispherical head dimensions to align with updated specifications, improving accuracy of preliminary design calculations. The work was implemented in commit a69bab974491983d30be938d86796bdae5acd270 ('name change and final update'), enabling clearer nomenclature, better design consistency, and smoother downstream verification. Business impact: reduced ambiguity in material selection, enhanced early-stage design accuracy, and faster design validation cycles. Technologies demonstrated: domain knowledge of tank design, version control (Git), and parameter tuning in design calculations.
1 Commits • 1 Features
Jun 1, 2025June 2025 - huciupaul/SHTARWaRS: Delivered a key feature in the tank design module by standardizing material designations and refining Torispherical head dimensions. Updated material names to 'S-Glass Fiber' and 'Carbon Fiber' and adjusted initial Torispherical head dimensions to align with updated specifications, improving accuracy of preliminary design calculations. The work was implemented in commit a69bab974491983d30be938d86796bdae5acd270 ('name change and final update'), enabling clearer nomenclature, better design consistency, and smoother downstream verification. Business impact: reduced ambiguity in material selection, enhanced early-stage design accuracy, and faster design validation cycles. Technologies demonstrated: domain knowledge of tank design, version control (Git), and parameter tuning in design calculations.
June 2025
May 2025
14 Commits • 3 Features
May 1, 2025May 2025 performance summary for huciupaul/SHTARWaRS focused on delivering core physics, modular design, and sustainability analytics to accelerate safe, data-driven hydrogen tank design. The work throughout May established a reusable Tank class and extended the hydrogen tank physics stack, enabling rapid iteration and better risk/margin evaluation. Key features delivered: - Hydrogen Tank Heat Influx Modeling and Tank Class Refactor: Implemented the core thermal model (heat influx, pressure-rise simulation, venting considerations) and refactored the tank physics into a modular Tank class for reuse across designs. Commits include b13de07ca44c98958a45aa14c24a4f241eb35463 (Add source from meeting), 2dafbafbc0b88660ecf900a239595f14cd0ce21e (Update 13/05), a91f289c4b13b9e650379807fbe8695741ba57b8 (Update 14/05), 4c874eec36c9c950171421ebb997bbf3ba50ab77 (working version), e0594e9c70e5957e2d4394a5580d82a106aae774 (update end 15/05), b8bcb409b73432c0ea46e267f65548521e6d96fa (update midday 16/05). - Tank Design Enhancements: Multi-material walls, MLI properties, data saving, plotting via CSV, and safety considerations (venting pressure, minimum wall thickness). Commits include 93810ba5dd16dca1d3c843f96f10e10cd8528f1e (Update 15/05), c6523798b042ea895097ead44744249fcee06723 (update), d594e4c9acdf4d462f608dead212ce6a85c4ba9d (update), d941a2c53fbc91d301d1e07b93cda6c2e8161e99 (update 19/05), 43aaa207d2782a0d4dbf3f8dbedf1fb38ec0ae31 (update), a9ff0998729ccfb127745a17276cf280b22816eb (update), 11f7876ddcc7618527067d79c20ba9513e1b8fa9 (update). - Life Cycle Assessment (LCA) Calculations: Added LCA calculations to quantify CO2 emissions and embodied energy based on material mass/configurations. Commit: 2e1239523ca19f9feca7feb26bb984c89aa7f3b7 (Add LCA). Major bugs fixed: - There were no explicitly tracked major bugs fixed this month; efforts were concentrated on feature development, refactoring, and extending the design/analysis capabilities. Ongoing stabilization will continue in the next cycle. Overall impact and accomplishments: - Technical: Achieved a modular, reusable physics stack with a Tank class, enabling faster iteration and more accurate physics (heat transfer, venting, and pressure), integrated design factors like MLI and safety margins, and environmental impact analytics via LCA. - Business value: Improves risk assessment, compliance readiness, and decision support for hydrogen storage design, while accelerating future feature work and reducing integration effort. Technologies/skills demonstrated: - Python OO design and numerical modeling, object-oriented refactoring, thermal-fluid physics, data persistence with CSV, data visualization readiness, and LCA modeling for embodied energy and emissions.
May 2025
14 Commits • 3 Features
May 1, 2025May 2025 performance summary for huciupaul/SHTARWaRS focused on delivering core physics, modular design, and sustainability analytics to accelerate safe, data-driven hydrogen tank design. The work throughout May established a reusable Tank class and extended the hydrogen tank physics stack, enabling rapid iteration and better risk/margin evaluation. Key features delivered: - Hydrogen Tank Heat Influx Modeling and Tank Class Refactor: Implemented the core thermal model (heat influx, pressure-rise simulation, venting considerations) and refactored the tank physics into a modular Tank class for reuse across designs. Commits include b13de07ca44c98958a45aa14c24a4f241eb35463 (Add source from meeting), 2dafbafbc0b88660ecf900a239595f14cd0ce21e (Update 13/05), a91f289c4b13b9e650379807fbe8695741ba57b8 (Update 14/05), 4c874eec36c9c950171421ebb997bbf3ba50ab77 (working version), e0594e9c70e5957e2d4394a5580d82a106aae774 (update end 15/05), b8bcb409b73432c0ea46e267f65548521e6d96fa (update midday 16/05). - Tank Design Enhancements: Multi-material walls, MLI properties, data saving, plotting via CSV, and safety considerations (venting pressure, minimum wall thickness). Commits include 93810ba5dd16dca1d3c843f96f10e10cd8528f1e (Update 15/05), c6523798b042ea895097ead44744249fcee06723 (update), d594e4c9acdf4d462f608dead212ce6a85c4ba9d (update), d941a2c53fbc91d301d1e07b93cda6c2e8161e99 (update 19/05), 43aaa207d2782a0d4dbf3f8dbedf1fb38ec0ae31 (update), a9ff0998729ccfb127745a17276cf280b22816eb (update), 11f7876ddcc7618527067d79c20ba9513e1b8fa9 (update). - Life Cycle Assessment (LCA) Calculations: Added LCA calculations to quantify CO2 emissions and embodied energy based on material mass/configurations. Commit: 2e1239523ca19f9feca7feb26bb984c89aa7f3b7 (Add LCA). Major bugs fixed: - There were no explicitly tracked major bugs fixed this month; efforts were concentrated on feature development, refactoring, and extending the design/analysis capabilities. Ongoing stabilization will continue in the next cycle. Overall impact and accomplishments: - Technical: Achieved a modular, reusable physics stack with a Tank class, enabling faster iteration and more accurate physics (heat transfer, venting, and pressure), integrated design factors like MLI and safety margins, and environmental impact analytics via LCA. - Business value: Improves risk assessment, compliance readiness, and decision support for hydrogen storage design, while accelerating future feature work and reducing integration effort. Technologies/skills demonstrated: - Python OO design and numerical modeling, object-oriented refactoring, thermal-fluid physics, data persistence with CSV, data visualization readiness, and LCA modeling for embodied energy and emissions.
Activity
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Quality Metrics
Correctness81.4%
Maintainability81.4%
Architecture80.8%
Performance65.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPython
Technical Skills
Data AnalysisData VisualizationEngineeringEngineering DesignEngineering SimulationFile I/OMaterial ScienceMatplotlibMechanical EngineeringNumerical AnalysisNumerical SimulationObject-Oriented ProgrammingPhysicsPhysics SimulationPython
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