SwanLab/Swan
Dec 2024 – Apr 2025
3 Months active
Languages Used
XMLMATLAB
Technical Skills
Data VisualizationFinite Element Method (FEM)Unstructured GridsVTKBoundary ConditionsCode Refactoring
Matheus
PROFILE
Matheus
Matheus Victor do Prado developed advanced data visualization and post-processing features for the SwanLab/Swan repository, focusing on finite element analysis and elasticity simulations. He implemented VTK and VTU export capabilities, enabling structured and unstructured grid results to be visualized downstream, and enhanced solver accuracy through code refactoring and the introduction of second-order strain calculations. Using MATLAB and XML, Matheus improved data fidelity for analyses around circular geometries and streamlined result organization for scalable workflows. His work demonstrated depth in computational mechanics and scientific computing, delivering robust, maintainable solutions that strengthened validation, traceability, and reliability in engineering simulation pipelines.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
16Total
Bugs
2
Commits
16
Features
5
Lines of code
169,341
Activity Months3
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 — SwanLab/Swan: Delivered elasticity data enhancements to support improved analysis around circular geometries. Implemented circular-hole strain outputs (strainMacro_CircularHole1-3.vtu) and second-order strain calculations with refined storage and displacement handling. These changes improve data fidelity for elasticity analyses near holes and enable more accurate material response characterization. No major bugs reported this month; work emphasizes business value by enabling more reliable post-processing, scalable data workflows, and stronger elasticity insights. Technologies demonstrated include elasticity theory, VTK/.vtu data outputs, second-order strain modeling, data storage optimization, and version control discipline.
2 Commits • 1 Features
Apr 1, 2025April 2025 — SwanLab/Swan: Delivered elasticity data enhancements to support improved analysis around circular geometries. Implemented circular-hole strain outputs (strainMacro_CircularHole1-3.vtu) and second-order strain calculations with refined storage and displacement handling. These changes improve data fidelity for elasticity analyses near holes and enable more accurate material response characterization. No major bugs reported this month; work emphasizes business value by enabling more reliable post-processing, scalable data workflows, and stronger elasticity insights. Technologies demonstrated include elasticity theory, VTK/.vtu data outputs, second-order strain modeling, data storage optimization, and version control discipline.
April 2025
March 2025
12 Commits • 3 Features
Mar 1, 2025During March 2025, the Swan project delivered significant backend and visualization enhancements for elasticity simulations, along with code hygiene improvements and repository discipline. The work improves data post-processing, solver accuracy, and onboarding velocity, translating to tangible business value for visualization-driven validation and reliable simulations.
March 2025
12 Commits • 3 Features
Mar 1, 2025During March 2025, the Swan project delivered significant backend and visualization enhancements for elasticity simulations, along with code hygiene improvements and repository discipline. The work improves data post-processing, solver accuracy, and onboarding velocity, translating to tangible business value for visualization-driven validation and reliable simulations.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary focused on delivering visualization-ready exports for SwanLab/Swan and reinforcing post-processing capabilities. The work emphasizes business value through enhanced visualization, validated results, and robust traceability.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary focused on delivering visualization-ready exports for SwanLab/Swan and reinforcing post-processing capabilities. The work emphasizes business value through enhanced visualization, validated results, and robust traceability.
December 2024
Activity
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Quality Metrics
Correctness85.8%
Maintainability85.0%
Architecture85.0%
Performance82.6%
AI Usage21.2%
Skills & Technologies
Programming Languages
MATLABXML
Technical Skills
Boundary ConditionsCode RefactoringComputational MechanicsData VisualizationFinite Element AnalysisFinite Element MethodFinite Element Method (FEM)Mesh ProcessingNumerical AnalysisNumerical IntegrationNumerical MethodsScientific ComputingSoftware ConfigurationSoftware DevelopmentSoftware Engineering
Repositories Contributed To
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