SwanLab/Swan
Nov 2024 – Feb 2025
3 Months active
Languages Used
MATLABObjective-CObjective-C++
Technical Skills
C++ (via MEX files)Continuum MechanicsFinite Element AnalysisFinite Element MethodMaterial ModelingNumerical Analysis
Biel Pujadas Suriol
PROFILE
Biel Pujadas Suriol
Over a three-month period, contributed to SwanLab/Swan by developing four features focused on material degradation modeling, solver robustness, and data visualization. Integrated damage evolution into continuum simulations using C++ and MATLAB, updating elastic properties and solver routines to enable degradation-aware analysis and lifecycle prediction. Enhanced solver accuracy and efficiency through unified functional computations and improved boundary condition handling. Refactored residual calculations for greater numerical precision in damage modeling and aligned code with evolving requirements. Delivered a MATLAB script for visualizing material-displacement relationships, streamlining data exploration and validation. The work demonstrated depth in finite element methods, numerical analysis, and reproducible scientific scripting.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
1,083
Activity Months3
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly work summary for SwanLab/Swan: Delivered a Material-Displacement Data Visualization Script to visualize Ctan and Csec against DispVal using saved MAT-files, enabling quick data exploration and validation of material-displacement relationships. The script supports basic plot customization (legend and title) and is designed for reproducibility.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly work summary for SwanLab/Swan: Delivered a Material-Displacement Data Visualization Script to visualize Ctan and Csec against DispVal using saved MAT-files, enabling quick data exploration and validation of material-displacement relationships. The script supports basic plot customization (legend and title) and is designed for reproducibility.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 (Month: 2025-01) SwanLab/Swan — Monthly Performance Summary
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 (Month: 2025-01) SwanLab/Swan — Monthly Performance Summary
November 2024
7 Commits • 2 Features
Nov 1, 2024In November 2024, two core capabilities were delivered for Swan in SwanLab/Swan, advancing material degradation modeling and solver robustness. First, Damage Mechanics and Degradation Modeling was integrated into the continuum simulation, updating elastic properties, RHS, and stiffness to support material degradation. The initial damage implementation matured into a working degradation model, enabling more realistic lifetime and failure predictions. Second, Solver Enhancements and Analysis Capabilities for ContinuumDamageComputer improved solver accuracy and efficiency, unified functional computations, and added support for reaction force calculations and plotting, with extended boundary condition support and BC iteration. These efforts collectively raise the fidelity of degradation-aware simulations and lay groundwork for lifecycle analysis.
7 Commits • 2 Features
Nov 1, 2024In November 2024, two core capabilities were delivered for Swan in SwanLab/Swan, advancing material degradation modeling and solver robustness. First, Damage Mechanics and Degradation Modeling was integrated into the continuum simulation, updating elastic properties, RHS, and stiffness to support material degradation. The initial damage implementation matured into a working degradation model, enabling more realistic lifetime and failure predictions. Second, Solver Enhancements and Analysis Capabilities for ContinuumDamageComputer improved solver accuracy and efficiency, unified functional computations, and added support for reaction force calculations and plotting, with extended boundary condition support and BC iteration. These efforts collectively raise the fidelity of degradation-aware simulations and lay groundwork for lifecycle analysis.
November 2024
Activity
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Quality Metrics
Correctness77.0%
Maintainability80.0%
Architecture75.0%
Performance63.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLABObjective-CObjective-C++
Technical Skills
C++C++ (via MEX files)Continuum MechanicsData VisualizationFinite Element AnalysisFinite Element MethodMaterial ModelingNumerical AnalysisNumerical MethodsNumerical SimulationNumerical SolversObject-Oriented ProgrammingScriptingSoftware Refactoring
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