SHARPy

Simulation of High Aspect Ratio aeroplanes and wind turbines in Python.
https://github.com/ImperialCollegeLondon/sharpy

Category: Renewable Energy
Sub Category: Wind Energy

Keywords

aeroelasticity aeronautics simulation structural-dynamics structures wind-turbines

Last synced: about 9 hours ago
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Repository metadata

Simulation of High Aspect Ratio aeroplanes and wind turbines in Python: a nonlinear aeroelastic code

Host: GitHub
URL: https://github.com/ImperialCollegeLondon/sharpy
Owner: ImperialCollegeLondon
License: bsd-3-clause
Created: 2016-10-07T10:11:51.000Z (over 8 years ago)
Default Branch: main
Last Pushed: 2025-04-10T11:38:45.000Z (17 days ago)
Last Synced: 2025-04-22T00:05:14.477Z (6 days ago)
Topics: aeroelasticity, aeronautics, simulation, structural-dynamics, structures, wind-turbines
Language: Python
Homepage: https://imperial.ac.uk/aeroelastics/sharpy
Size: 59.6 MB
Stars: 152
Watchers: 20
Forks: 62
Open Issues: 24
Releases: 15
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Zenodo: .zenodo.json

Simulation of High Aspect Ratio aeroplanes in Python [SHARPy]

Version badge

SHARPy is a nonlinear aeroelastic analysis package originally developed at the Department of Aeronautics, Imperial
College London. It can be used for the structural, aerodynamic and aeroelastic analysis of flexible wings, aircraft and wind turbines. It is shared here under a BSD 3-Clause permissive license.

XHALE

Contact

For more information on the research team developing SHARPy or to get
in touch, visit our homepage.

Physical Models

SHARPy is a modular aeroelastic solver that currently uses two specific models for the structural and aerodynamic response of the system.

For the structural model, SHARPy employs a geometrically-exact displacement-based composite beam formulation,
augmented with Lagrange multipliers for additional kinematic constraints.
This model has the advantage of providing the solution directly in the physical problem's degrees of freedom, making the
coupling with the aerodynamic solver simple and not requiring any post-processing. The 1D beam formulation used limits
the analyses that can be done by SHARPy to slender structures, such as high aspect ratio wings.

The aerodynamic model utilises the Unsteady Vortex Lattice Method (UVLM). The aerodynamic surfaces are modelled as a thin
vortex ring lattice with the boundary conditions enforced at the collocation points in the middle of the vortex rings.
The Kutta condition is also enforced at the trailing edge. The wake can be simulated by either additional vortex rings
or by infinitely long horseshoe vortices, which are ideally suited for steady simulations only.

The aerodynamic model has recently been extended by a linear source panel method (SPM) to model nonlifting bodies for example fuselages. The SPM and UVLM can be coupled to model fuselage-wing configuration and a junction handling approach, based on phantom panels and circulation interpolation, has been added.

The input problems can be structural, aerodynamic or coupled, yielding an aeroelastic system.

Capabilities

The base solver SHARPy is a nonlinear aeroelastic analysis package that can be used on free-flying flexible aircraft,
wings and wind turbines. In addition, it supports linearisation of these nonlinear systems about
arbitrary conditions and includes various tools such as: model reduction or frequency analysis.

In short, SHARPy offers (amongst others) the following solutions to the user:

Static aerodynamic, structural and aeroelastic solutions including fuselage effects
Finding trim conditions for aeroelastic configurations
Nonlinear, dynamic time domain simulations under a large number of conditions such as:
- Prescribed trajectories.
- Free flight.
- Dynamic follower forces.
- Control inputs in thrust, control surface deflection...
- Arbitrary time-domain gusts, including non span-constant ones.
- Full 3D turbulent fields.
Multibody dynamics with hinges, articulations and prescribed nodal motions:
- Applicable to wind turbines.
- Hinged aircraft.
- Catapult assisted takeoffs.
Linear analysis:
- Linearisation around a nonlinear equilibrium.
- Frequency response analysis.
- Asymptotic stability analysis.
Model order reduction:
- Krylov-subspace reduction methods.
- Several balancing reduction methods.

Documentation

The documentation for SHARPy can be found here.

Installing SHARPy

For the latest documentation, see the
installation docs.

SHARPy can also be obtained from Docker Hub to avoid compilation
and platform-dependant issues. If you are interested, make sure you check
the SHARPy Docker distribution docs.

Contributing and Bug reports

If you think you can add a useful feature to SHARPy, want to write documentation or you encounter a bug, by all means,
check out the collaboration guide.

Citing SHARPy

SHARPy has been published in the Journal of Open Source Software (JOSS) and the relevant paper can be found
here.

If you are using SHARPy for your work, please remember to cite it using the paper in JOSS as:

del Carre et al., (2019). SHARPy: A dynamic aeroelastic simulation toolbox for very flexible aircraft and wind turbines. Journal of Open Source Software, 4(44), 1885, https://doi.org/10.21105/joss.01885

The bibtex entry for this citation is:

@Article{delCarre2019,
doi = {10.21105/joss.01885},
url = {https://doi.org/10.21105/joss.01885},
year = {2019},
month = dec,
publisher = {The Open Journal},
volume = {4},
number = {44},
pages = {1885},
author = {Alfonso del Carre and Arturo Mu{\~{n}}oz-Sim\'on and Norberto Goizueta and Rafael Palacios},
title = {{SHARPy}: A dynamic aeroelastic simulation toolbox for very flexible aircraft and wind turbines},
journal = {Journal of Open Source Software}
}

Continuous Integration Status

SHARPy uses Continuous Integration to control the integrity of its code. The status in the release and develop branches
is:

Main

Develop

Owner metadata

Name: Imperial College London
Login: ImperialCollegeLondon
Email: [email protected]
Kind: organization
Description: Imperial College main code repository
Website:
Location: Imperial College London
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/1220306?v=4
Repositories: 311
Last ynced at: 2023-03-14T09:25:14.124Z
Profile URL: https://github.com/ImperialCollegeLondon

GitHub Events

Total

Create event: 34
Commit comment event: 1
Release event: 23
Issues event: 8
Watch event: 26
Delete event: 27
Issue comment event: 19
Push event: 127
Pull request review event: 40
Pull request review comment event: 34
Pull request event: 28
Fork event: 5

Last Year

Create event: 34
Commit comment event: 1
Release event: 23
Issues event: 8
Watch event: 26
Delete event: 27
Issue comment event: 19
Push event: 127
Pull request review event: 40
Pull request review comment event: 34
Pull request event: 28
Fork event: 5

Committers metadata

Last synced: 6 days ago

Total Commits: 3,639
Total Committers: 24
Avg Commits per committer: 151.625
Development Distribution Score (DDS): 0.724

Commits in past year: 47
Committers in past year: 2
Avg Commits per committer in past year: 23.5
Development Distribution Score (DDS) in past year: 0.489

Name	Email	Commits
Norberto Goizueta	n**3@i**k	1006
Arturo	a**n@i**k	995
Alfonso del Carre	f**e@g**m	913
sduess	s**0@i**k	321
Salvatore Maraniello	s**0@i**k	116
Ben Preston	1****p	108
kccwing	6****g	74
Rafael Palacios	r**s@h**m	21
Alvaro Cea	a**a@o**m	18
Bernardo Bahia Monteiro	b**a@u**u	14
OUT OF ORDER	o**v@g**m	13
David Anderegg	a**v@z**h	9
bolt	5****i	8
asd	a****d	7
Hui Ling	h**2@g**m	5
Eriklyy	e**r@w**e	3
AntonioWR	6****R	1
Nacho Carnicero	i**a@g**m	1
Pete Bachant	p**t@g**m	1
Rafael M Mudafort	r**f@g**m	1
root	r**t@a**k	1
Sam Lane	s**e@s**k	1
Alvaro Cea	a**a@l**n	1
Unknown	k**9@i**k	1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 82
Total pull requests: 186
Average time to close issues: 3 months
Average time to close pull requests: 27 days
Total issue authors: 36
Total pull request authors: 21
Average comments per issue: 2.17
Average comments per pull request: 0.75
Merged pull request: 161
Bot issues: 0
Bot pull requests: 0

Past year issues: 10
Past year pull requests: 26
Past year average time to close issues: 24 days
Past year average time to close pull requests: 29 days
Past year issue authors: 4
Past year pull request authors: 3
Past year average comments per issue: 1.6
Past year average comments per pull request: 0.92
Past year merged pull request: 17
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ImperialCollegeLondon/sharpy

Top Issue Authors

ngoiz (14)
ArturoMS13 (6)
p-smith22 (5)
LeeElvis (5)
fonsocarre (5)
kccwing (4)
rafmudaf (3)
scolonia (3)
petebachant (3)
DavidAnderegg (3)
DomIno0o (2)
outoforderdev (2)
x3oo (2)
aash-r (2)
AntonioWR (2)

Top Pull Request Authors

ngoiz (53)
kccwing (32)
ben-l-p (23)
ArturoMS13 (18)
sduess (17)
fonsocarre (15)
rafapalacios (7)
outoforderdev (4)
bbahiam (2)
Eriklyy (2)
boltyboi (2)
ACea15 (2)
jesus-gp96 (1)
wong-hl (1)
rafmudaf (1)

Top Issue Labels

potential bug (23)
bug (11)
enhancement (8)
Documentation (7)
question (5)
invalid (3)
feature proposal (2)
help wanted (2)
wontfix (1)
good first contribution (1)

Top Pull Request Labels

enhancement (50)
bug (17)
Documentation (8)
good first contribution (4)
invalid (3)
feature proposal (2)
potential bug (1)
help wanted (1)
duplicate (1)

Package metadata

Total packages: 4
Total downloads:
- pypi: 175 last-month
Total dependent packages: 0 (may contain duplicates)
Total dependent repositories: 0 (may contain duplicates)
Total versions: 14
Total maintainers: 1

proxy.golang.org: github.com/imperialcollegelondon/sharpy

Homepage:
Documentation: https://pkg.go.dev/github.com/imperialcollegelondon/sharpy#section-documentation
Licenses: bsd-3-clause
Latest release: v1.2.1 (published about 4 years ago)
Last Synced: 2025-04-26T05:32:36.671Z (1 day ago)
Versions: 6
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent repos count: 1.622%
- Average: 4.057%
- Dependent packages count: 6.492%

proxy.golang.org: github.com/ImperialCollegeLondon/sharpy

Homepage:
Documentation: https://pkg.go.dev/github.com/ImperialCollegeLondon/sharpy#section-documentation
Licenses:
Latest release: v1.2.1 (published about 4 years ago)
Last Synced: 2025-04-26T05:32:36.642Z (1 day ago)
Versions: 6
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent packages count: 6.999%
- Average: 8.173%
- Dependent repos count: 9.346%

pypi.org: ic-sharpy

SHARPy is a nonlinear aeroelastic analysis package developed at Imperial College London.

Homepage: https://github.com/ImperialCollegeLondon/sharpy
Documentation: https://ic-sharpy.readthedocs.io/
Licenses: BSD-3-Clause
Latest release: 2.4 (published about 1 month ago)
Last Synced: 2025-04-26T05:32:35.418Z (1 day ago)
Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 138 Last month
Rankings:
- Dependent packages count: 9.434%
- Average: 31.281%
- Dependent repos count: 53.128%
Maintainers (1)
- kccwing

pypi.org: icl-sharpy

SHARPy is a nonlinear aeroelastic analysis package developed

Homepage: https://github.com/ImperialCollegeLondon/sharpy
Documentation: https://icl-sharpy.readthedocs.io/
Licenses: BSD 3-Clause License
Latest release: 2.3 (published 8 months ago)
Last Synced: 2025-03-24T13:31:33.935Z (about 1 month ago)
Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 37 Last month
Rankings:
- Dependent packages count: 10.417%
- Average: 34.527%
- Dependent repos count: 58.638%
Maintainers (1)
- kccwing

Dependencies

.github/workflows/sharpy_tests.yaml actions

actions/checkout v2 composite
actions/setup-python v2 composite
codecov/codecov-action v3 composite
egor-tensin/setup-gcc v1 composite
s-weigand/setup-conda v1 composite

Dockerfile docker

centos 8 build

Score: 13.519021820424248

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