4C-multiphysics/4C
Apr 2025 – Apr 2025
1 Month active
Languages Used
C++CMake
Technical Skills
C++ DevelopmentCMake ConfigurationConstitutive ModelingMaterial SciencePhysics SimulationScientific Computing
Rishav Shaw
PROFILE
Rishav Shaw
Rishav Shaw enhanced the MIRCO constitutive model within the 4C-multiphysics/4C repository, focusing on calibration and simplification to improve simulation accuracy and maintainability. He calibrated MIRCO shape factors using Tamaas, correcting values for specific cases to ensure physical realism in multiphysics simulations. By aligning the MIRCO git hash and versioning, he enabled reproducible builds and better traceability. Rishav also removed redundant composite Poisson’s ratio calculations, streamlining the constitutive law and reducing complexity. He updated unit tests to reflect the corrected pressure law behavior, leveraging C++ and CMake to deliver a more reliable and maintainable scientific computing codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
35
Activity Months1
Your Network
53 people
Work History
April 2025
3 Commits • 1 Features
Apr 1, 2025For 2025-04, delivered substantial improvements to the MIRCO constitutive model in 4C. Key features include calibration and simplification of MIRCO, alignment of model versioning, removal of redundant calculations, and updated tests to reflect the corrected pressure behavior. These changes improve accuracy, reproducibility, and maintainability for multiphysics simulations, delivering clear business value to product modeling teams.
3 Commits • 1 Features
Apr 1, 2025For 2025-04, delivered substantial improvements to the MIRCO constitutive model in 4C. Key features include calibration and simplification of MIRCO, alignment of model versioning, removal of redundant calculations, and updated tests to reflect the corrected pressure behavior. These changes improve accuracy, reproducibility, and maintainability for multiphysics simulations, delivering clear business value to product modeling teams.
April 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability93.4%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMake
Technical Skills
C++ DevelopmentCMake ConfigurationConstitutive ModelingMaterial SciencePhysics SimulationScientific ComputingUnit Testing
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