Fozyhh/Aerospace-Group-B-Module-1
Oct 2024 – Feb 2025
4 Months active
Languages Used
C++
Technical Skills
Algorithm OptimizationC++Fluid Dynamics SimulationNumerical MethodsC++ DevelopmentComputational Fluid Dynamics
samuvignolo
PROFILE
Samuvignolo
Samuele Vignolo contributed to the Fozyhh/Aerospace-Group-B-Module-1 repository by developing and refining core components of a fluid dynamics solver in C++. Over four months, he enhanced simulation accuracy and stability through algorithm optimization, numerical methods, and careful refactoring. His work included improving the second-order numerical scheme, optimizing the Poisson solver with FFTW, and stabilizing boundary condition handling for multi-dimensional arrays. Samuele also streamlined build processes and improved visualization output using VTK, enabling clearer analysis of velocity fields. His disciplined approach addressed edge-case bugs and improved maintainability, resulting in more reliable, production-ready simulations for computational fluid dynamics workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
9Total
Bugs
2
Commits
9
Features
4
Lines of code
1,116
Activity Months4
Your Network
14 people
Work History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Fozyhh/Aerospace-Group-B-Module-1. Focused on delivering stability, accuracy, and performance for the fluid dynamics solver in the module. Completed a set of enhancements to the Runge-Kutta solver, simplified grid velocity calculations, and refactored Poisson solver selection to improve stability and maintainability. Build flag adjustments were implemented to streamline CI and release workflows. These changes coalesced into improved numerical reliability, faster per-step performance, and reduced long-term maintenance costs, enabling more accurate simulations and smoother integration into the broader aerospace workflow.
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Fozyhh/Aerospace-Group-B-Module-1. Focused on delivering stability, accuracy, and performance for the fluid dynamics solver in the module. Completed a set of enhancements to the Runge-Kutta solver, simplified grid velocity calculations, and refactored Poisson solver selection to improve stability and maintainability. Build flag adjustments were implemented to streamline CI and release workflows. These changes coalesced into improved numerical reliability, faster per-step performance, and reduced long-term maintenance costs, enabling more accurate simulations and smoother integration into the broader aerospace workflow.
February 2025
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for Fozyhh/Aerospace-Group-B-Module-1. Delivered three high-impact improvements targeting visualization, accuracy, and performance in the CFD workflow. The work aligns with core business value: faster iteration, more reliable simulations, and clearer data interpretation for design decisions.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for Fozyhh/Aerospace-Group-B-Module-1. Delivered three high-impact improvements targeting visualization, accuracy, and performance in the CFD workflow. The work aligns with core business value: faster iteration, more reliable simulations, and clearer data interpretation for design decisions.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for Fozyhh/Aerospace-Group-B-Module-1 focused on improving the second-order numerical scheme in the simulation. Implemented a refactor to use integer types for loop indices and array access, updated function signatures, and ensured consistent integer arithmetic to boost accuracy and stability.
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for Fozyhh/Aerospace-Group-B-Module-1 focused on improving the second-order numerical scheme in the simulation. Implemented a refactor to use integer types for loop indices and array access, updated function signatures, and ensured consistent integer arithmetic to boost accuracy and stability.
November 2024
October 2024
2 Commits
Oct 1, 2024October 2024 focused on hardening the Fluid Dynamics solver in Fozyhh/Aerospace-Group-B-Module-1. Delivered a critical indexing bug fix across g and f functions and the time-step solver, preventing out-of-bounds and incorrect accesses in multi-dimensional arrays that store fluid properties. Refactored boundary condition initialization to improve robustness and maintainability, addressing boundary management gaps that could affect multi-dimensional simulations. The changes are captured in commits 1719e84cb6c0d99652458296ed7b24dfd33c8ad4 and 4a6f1c95af6c951b163bf1cec8f30d48838f9daa, with the first addressing indices in g, f, and the time-step solver, and the second addressing the solve_time_step function. Business impact: more reliable simulations, reduced risk of runtime crashes, and maintainable code with clearer boundary handling, enabling production-grade runs and accurate results. Tech skills demonstrated: deep debugging of numerical solvers, boundary condition handling, code refactoring for multi-dimensional arrays, and disciplined version control.
October 2024
2 Commits
Oct 1, 2024October 2024 focused on hardening the Fluid Dynamics solver in Fozyhh/Aerospace-Group-B-Module-1. Delivered a critical indexing bug fix across g and f functions and the time-step solver, preventing out-of-bounds and incorrect accesses in multi-dimensional arrays that store fluid properties. Refactored boundary condition initialization to improve robustness and maintainability, addressing boundary management gaps that could affect multi-dimensional simulations. The changes are captured in commits 1719e84cb6c0d99652458296ed7b24dfd33c8ad4 and 4a6f1c95af6c951b163bf1cec8f30d48838f9daa, with the first addressing indices in g, f, and the time-step solver, and the second addressing the solve_time_step function. Business impact: more reliable simulations, reduced risk of runtime crashes, and maintainable code with clearer boundary handling, enabling production-grade runs and accurate results. Tech skills demonstrated: deep debugging of numerical solvers, boundary condition handling, code refactoring for multi-dimensional arrays, and disciplined version control.
Activity
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Quality Metrics
Correctness86.6%
Maintainability84.4%
Architecture80.0%
Performance77.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Algorithm OptimizationC++C++ DevelopmentCFDComputational Fluid DynamicsFFTW LibraryFluid Dynamics SimulationMPIMakefileNumerical MethodsParallel ComputingRefactoringSoftware EngineeringVTK
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