CCBlade.jl
A blade element momentum method for propellers and turbines.
https://github.com/byuflowlab/CCBlade.jl
Category: Renewable Energy
Sub Category: Wind Energy
Keywords
aerodynamics aircraft bem bemt propeller rotor rotorcraft wind-turbine
Keywords from Contributors
aircraft-design aircraft-performance flapping-flight flight-vehicle-aerodynamics low-speed-aerodynamics potential-flow steady-state unsteady-flows vortex-lattice wind-turbines
Last synced: about 7 hours ago
JSON representation
Repository metadata
Blade Element Momentum Method for Propellers and Turbines
- Host: GitHub
- URL: https://github.com/byuflowlab/CCBlade.jl
- Owner: byuflowlab
- License: other
- Created: 2016-05-18T19:33:38.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2025-04-17T14:31:55.000Z (10 days ago)
- Last Synced: 2025-04-25T13:45:29.237Z (2 days ago)
- Topics: aerodynamics, aircraft, bem, bemt, propeller, rotor, rotorcraft, wind-turbine
- Language: Python
- Homepage:
- Size: 9.55 MB
- Stars: 67
- Watchers: 7
- Forks: 35
- Open Issues: 5
- Releases: 9
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.md
- License: LICENSE.md
README.md
CCBlade.jl
Summary: A blade element momentum method for propellers and turbines.
Author: Andrew Ning
Features:
- Methodology is provably convergent (see http://dx.doi.org/10.1002/we.1636 although multiple improvements have been made since then)
- Prandtl hub/tip losses (or user-defined losses)
- Glauert/Buhl empirical region for high thrust turbines
- Convenience functions for inflow with shear, precone, yaw, tilt, and azimuth
- Can do airfoil corrections beforehand or on the fly (Mach, Reynolds, rotation)
- Allows for flow reversals (negative inflow/rotation velocities)
- Allows for a hover condition (only rotation, no inflow) and rotor locked (no rotation, only inflow)
- Compatible with AD tools like ForwardDiff
Installation:
] add CCBlade
Documentation:
The documentation contains
- A quick start tutorial to learn basic usage,
- Guided examples to address specific or more advanced tasks,
- A reference describing the API,
- Theory in full detail.
Run Unit Tests:
pkg> activate .
pkg> test
Citing:
Ning, A., “Using Blade Element Momentum Methods with Gradient-Based Design Optimization,” Structural and Multidisciplinary Optimization, Vol. 64, No. 2, pp. 994–1014, May 2021. doi:10.1007/s00158-021-02883-6
Python / OpenMDAO users
In the openmdao folder there is a Python wrapper to this package to enable usage from OpenMDAO. This wrapper was developed/maintained by Daniel Ingraham and Justin Gray at NASA Glenn.
Owner metadata
- Name: BYU FLOW Lab
- Login: byuflowlab
- Email:
- Kind: organization
- Description: FLight, Optimization, and Wind
- Website: http://flow.byu.edu
- Location: Provo, UT
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/10734941?v=4
- Repositories: 94
- Last ynced at: 2024-04-01T07:46:20.177Z
- Profile URL: https://github.com/byuflowlab
GitHub Events
Total
- Create event: 4
- Commit comment event: 4
- Issues event: 2
- Release event: 3
- Watch event: 9
- Issue comment event: 18
- Push event: 7
- Pull request event: 7
- Fork event: 2
Last Year
- Create event: 4
- Commit comment event: 4
- Issues event: 2
- Release event: 3
- Watch event: 9
- Issue comment event: 18
- Push event: 7
- Pull request event: 7
- Fork event: 2
Committers metadata
Last synced: 7 days ago
Total Commits: 255
Total Committers: 10
Avg Commits per committer: 25.5
Development Distribution Score (DDS): 0.439
Commits in past year: 21
Committers in past year: 2
Avg Commits per committer in past year: 10.5
Development Distribution Score (DDS) in past year: 0.286
| Name | Commits | |
|---|---|---|
| Andrew Ning | a****g@b****u | 143 |
| Ingraham, Daniel James (GRC-LTV0) | d****m@n****v | 100 |
| tylercritchfield | t****d@g****m | 3 |
| Taylor McDonnell | t****l@g****m | 2 |
| Justin Gray | j****y@g****m | 2 |
| Judd Mehr | j****r@g****m | 1 |
| EliotAH | e****n@g****m | 1 |
| EdoAlvarezR | E****R@g****m | 1 |
| Bret Naylor | n****b@g****m | 1 |
| Kevin Moore | k****e@b****u | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 22
Total pull requests: 15
Average time to close issues: 5 months
Average time to close pull requests: 2 months
Total issue authors: 14
Total pull request authors: 7
Average comments per issue: 3.41
Average comments per pull request: 1.4
Merged pull request: 11
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 5
Past year average time to close issues: 10 days
Past year average time to close pull requests: about 1 month
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 2.0
Past year average comments per pull request: 2.8
Past year merged pull request: 4
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- andrewning (5)
- dingraha (4)
- hsteinhaus (2)
- EdoAlvarezR (1)
- bbrelje (1)
- KikeM (1)
- willjrh (1)
- tylercritchfield (1)
- christianhauschel (1)
- mskim0401 (1)
- SeungKil-Paek (1)
- mah92 (1)
- JuliaTagBot (1)
- moore54 (1)
Top Pull Request Authors
- dingraha (8)
- tylercritchfield (2)
- juddmehr (1)
- taylormcd (1)
- cibinjoseph (1)
- rymanderson (1)
- andrewning (1)
Top Issue Labels
- enhancement (1)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- julia: 77 total
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 9
juliahub.com: CCBlade
Blade Element Momentum Method for Propellers and Turbines
- Homepage:
- Documentation: https://docs.juliahub.com/General/CCBlade/stable/
- Licenses: MIT
- Latest release: 0.2.7 (published 4 months ago)
- Last Synced: 2025-03-26T01:04:39.067Z (about 1 month ago)
- Versions: 9
- Dependent Packages: 1
- Dependent Repositories: 0
- Downloads: 77 Total
-
Rankings:
- Forks count: 5.425%
- Dependent repos count: 9.94%
- Stargazers count: 15.025%
- Average: 17.326%
- Dependent packages count: 38.915%
Dependencies
- numpy >=1.14.1
- openmdao >=2.4.0
- JuliaRegistries/TagBot v1 composite
- actions/checkout v2 composite
- julia-actions/setup-julia latest composite
- actions/checkout v1.0.0 composite
- julia-actions/julia-runtest master composite
- julia-actions/setup-julia v1 composite
Score: 10.935960038699694