gdtk-uq/gdtk
Feb 2025 – Feb 2025
1 Month active
Languages Used
LuaPythonShellYAML
Technical Skills
Aerodynamic SimulationAerospace EngineeringAtmospheric Entry SimulationAtmospheric ModelingBug FixingComputational Fluid Dynamics
Chris James
PROFILE
Chris James
Worked on the gdtk-uq/gdtk repository to enhance the Pitot3 simulation framework by expanding its gas model capabilities and improving configuration coverage. Developed new Venus and Mars gas models, including ionized variants, and introduced example configurations for X3 and X3R facilities to support broader atmospheric entry simulations. Addressed a critical issue with CO2 gas state initialization, ensuring accurate simulation results and improved output formatting for large values. Leveraged Python, YAML, and shell scripting to implement these changes, applying skills in computational fluid dynamics, atmospheric modeling, and configuration management to increase simulation realism and stability for mission planning and validation.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
332
Activity Months1
Your Network
27 peopleSame Organization
@uq.edu.au12
Shared Repositories
15
Alex MuirheadMember
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ipezMember
JensMember
greenteacupsMember
JS-WUMember
Kyle DammMember
Nick N. GibbonsMember
Peter JacobsMember
Work History
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 summary for gdtk-uq/gdtk: Delivered significant Pitot3 gas model enhancements and expanded configuration coverage, alongside a critical CO2 initialization bug fix and formatting improvements. These changes broaden simulation realism, improve test coverage, and increase stability for mission planning and validation.
4 Commits • 1 Features
Feb 1, 2025February 2025 summary for gdtk-uq/gdtk: Delivered significant Pitot3 gas model enhancements and expanded configuration coverage, alongside a critical CO2 initialization bug fix and formatting improvements. These changes broaden simulation realism, improve test coverage, and increase stability for mission planning and validation.
February 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
LuaPythonShellYAML
Technical Skills
Aerodynamic SimulationAerospace EngineeringAtmospheric Entry SimulationAtmospheric ModelingBug FixingComputational Fluid DynamicsConfiguration ManagementShell ScriptingSimulationSoftware DevelopmentYAML
Repositories Contributed To
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