chaos-polymtl/lethe
Jul 2025 – Aug 2025
2 Months active
Languages Used
C++GeoMarkdownPythonRST
Technical Skills
C++CFD-DEM CouplingCFD-DEM SimulationComputational Fluid DynamicsConfiguration ManagementDEM Simulation
flo-op
PROFILE
Flo-op
Contributed to chaos-polymtl/lethe by developing and enhancing CFD-DEM simulation capabilities, focusing on gas-solid spouted bed modeling, dynamic particle insertion, and detailed collision event logging. Leveraged C++ and Python to implement unresolved CFD-DEM examples with experimental validation, extend particle management features, and synchronize MPI-parallel logging for multi-core workflows. Addressed a segmentation fault in particle insertion by refining sorting logic, improving stability and scalability for large-scale simulations. Emphasized test-driven development and comprehensive documentation, enabling reliable validation and streamlined onboarding. The work improved data integrity, observability, and post-processing, supporting robust scientific computing and efficient software integration within the repository.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
4
Lines of code
4,471
Activity Months2
Your Network
7 peopleWork History
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025: Delivered stability and observability improvements to the Lethe CFD-DEM workflow (chaos-polymtl/lethe). Key bug fix resolved a segmentation fault in multi-core simulations by ensuring correct particle sorting after insertion. Implemented MPI-parallel collision statistics logging to synchronize writes across processes and capture particle diameter, mass, and time, improving data integrity and traceability. These changes enhance reliability, scalability, and post-run analysis, delivering business value through reduced crashes, faster debugging, and richer simulation metrics. Technologies demonstrated include MPI synchronization, parallel logging, and particle management within a multi-core CFD-DEM context.
2 Commits • 1 Features
Aug 1, 2025August 2025: Delivered stability and observability improvements to the Lethe CFD-DEM workflow (chaos-polymtl/lethe). Key bug fix resolved a segmentation fault in multi-core simulations by ensuring correct particle sorting after insertion. Implemented MPI-parallel collision statistics logging to synchronize writes across processes and capture particle diameter, mass, and time, improving data integrity and traceability. These changes enhance reliability, scalability, and post-run analysis, delivering business value through reduced crashes, faster debugging, and richer simulation metrics. Technologies demonstrated include MPI synchronization, parallel logging, and particle management within a multi-core CFD-DEM context.
August 2025
July 2025
4 Commits • 3 Features
Jul 1, 20252025-07 monthly summary for chaos-polymtl/lethe highlighting key features delivered, major bug fixes, and overall impact. This period focused on expanding CFD-DEM capabilities, enhancing validation, and improving test coverage and documentation to accelerate adoption and reduce integration risk. Key contributions: - Gas-Solid Spouted Bed CFD-DEM Example: Delivered an unresolved CFD-DEM spouted bed example in a rectangular configuration, including detailed parameter files and Python post-processing scripts, with experimental validation against Yue et al. data. Commit: 0527ef1da4814cfaa379b0ba2ba95949db3be17a. - Dynamic Particle Insertion in CFD-DEM: Implemented dynamic particle insertion by reusing existing DEM insertion methods, added a new test case, and updated documentation to confirm functionality. Commits: 80d255540808dce5d089a1976fc6382cd4843679; 9f4ca0a1076af2ebec5cb8764a66c58e1dabcb08. - Log Statistics for Particle-Wall Collisions in DEM: Implemented logging of particle-wall collision events (IDs, timestamps, velocity data) with configurability via model configuration and added a dedicated test case. Commit: eeaca70c972db244b549e1087681f26ffb578cc2. Impact and accomplishments: - Increased CFD-DEM fidelity and usability by adding a validated spouted bed example, dynamic insertion, and collision logging. - Strengthened reliability through tests and documentation, enabling easier validation and onboarding for users and developers. - Demonstrated end-to-end capability: model-config-driven features, Python-based post-processing, and alignment with experimental data for credible benchmarking. Technologies/skills demonstrated: - CFD-DEM integration, Python scripting for post-processing, version-controlled feature development, test-driven development, and documentation updates.
July 2025
4 Commits • 3 Features
Jul 1, 20252025-07 monthly summary for chaos-polymtl/lethe highlighting key features delivered, major bug fixes, and overall impact. This period focused on expanding CFD-DEM capabilities, enhancing validation, and improving test coverage and documentation to accelerate adoption and reduce integration risk. Key contributions: - Gas-Solid Spouted Bed CFD-DEM Example: Delivered an unresolved CFD-DEM spouted bed example in a rectangular configuration, including detailed parameter files and Python post-processing scripts, with experimental validation against Yue et al. data. Commit: 0527ef1da4814cfaa379b0ba2ba95949db3be17a. - Dynamic Particle Insertion in CFD-DEM: Implemented dynamic particle insertion by reusing existing DEM insertion methods, added a new test case, and updated documentation to confirm functionality. Commits: 80d255540808dce5d089a1976fc6382cd4843679; 9f4ca0a1076af2ebec5cb8764a66c58e1dabcb08. - Log Statistics for Particle-Wall Collisions in DEM: Implemented logging of particle-wall collision events (IDs, timestamps, velocity data) with configurability via model configuration and added a dedicated test case. Commit: eeaca70c972db244b549e1087681f26ffb578cc2. Impact and accomplishments: - Increased CFD-DEM fidelity and usability by adding a validated spouted bed example, dynamic insertion, and collision logging. - Strengthened reliability through tests and documentation, enabling easier validation and onboarding for users and developers. - Demonstrated end-to-end capability: model-config-driven features, Python-based post-processing, and alignment with experimental data for credible benchmarking. Technologies/skills demonstrated: - CFD-DEM integration, Python scripting for post-processing, version-controlled feature development, test-driven development, and documentation updates.
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture88.4%
Performance78.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++GeoMarkdownPythonRST
Technical Skills
Bug FixingC++CFD-DEMCFD-DEM CouplingCFD-DEM SimulationComputational Fluid DynamicsConfiguration ManagementDEM SimulationData LoggingData VisualizationDiscrete Element MethodDocumentationMPIMeshingParallel Computing
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