SwanLab/Swan
May 2025 – May 2025
1 Month active
Languages Used
MATLAB
Technical Skills
Finite Element AnalysisFinite Element MethodMATLAB DevelopmentMaterial ModelingNumerical IntegrationNumerical Methods
Juan Sebastián Castaño Franco
PROFILE
Juan Sebastián Castaño Franco
During May 2025, Juan Castano focused on refactoring and simplifying core numerical routines in the SwanLab/Swan repository. He reengineered the right-hand side (RHS) integration by introducing a symmetric shape function derivative method, replacing direct Cartesian derivatives to improve numerical accuracy and maintainability. Working in MATLAB, he updated variable naming and loop structures to clarify code paths and reduce potential errors. Additionally, he disabled internal force computations for linear elasticity within the HyperelasticProblem module, streamlining the modeling process for debugging. His work demonstrated depth in finite element analysis, numerical integration, and software refactoring, laying groundwork for future performance profiling.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
74
Activity Months1
Your Network
88 people
Work History
May 2025
3 Commits • 2 Features
May 1, 2025May 2025 performance summary for SwanLab/Swan: Focused refactor of RHS computations and simplification of linear elasticity to support debugging and maintainability. Implemented symmetric shape function derivative method for RHS integration, updated variable naming and loop structure for improved accuracy and performance, and disabled linear elasticity internal forces in HyperelasticProblem to simplify modeling. Changes are tracked in MATLAB modules RHSIntegratorShapeSymmDerivative.m (two commits) and HyperelasticProblem_refactoring.m (one commit). Result: clearer numerical paths, easier profiling, reduced debugging complexity, with business value in more predictable solver behavior and faster iteration cycles.
3 Commits • 2 Features
May 1, 2025May 2025 performance summary for SwanLab/Swan: Focused refactor of RHS computations and simplification of linear elasticity to support debugging and maintainability. Implemented symmetric shape function derivative method for RHS integration, updated variable naming and loop structure for improved accuracy and performance, and disabled linear elasticity internal forces in HyperelasticProblem to simplify modeling. Changes are tracked in MATLAB modules RHSIntegratorShapeSymmDerivative.m (two commits) and HyperelasticProblem_refactoring.m (one commit). Result: clearer numerical paths, easier profiling, reduced debugging complexity, with business value in more predictable solver behavior and faster iteration cycles.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
Finite Element AnalysisFinite Element MethodMATLAB DevelopmentMaterial ModelingNumerical IntegrationNumerical MethodsSoftware Refactoring
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