Giter VIP home page Giter VIP logo

openaerostruct's Introduction

OpenAeroStruct

Build Status Coverage Status

OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO. It couples a vortex-lattice method (VLM) and a 6 degrees of freedom 3-dimensional spatial beam model to simulate aerodynamic and structural analyses using lifting surfaces. These simulations are wrapped with an optimizer using NASA's OpenMDAO framework. The analysis and optimization results can be visualized using included tools, producing figures such as these:

With a tubular structure Example

With a wingbox structure Example2

Please note that this repository is provided as is without any guaranteed support. If you would like to highlight issues, ask questions, or make changes, please do so using GitHub Issues and Pull Requests. The developers will address them at their discretion.

Install OpenAeroStruct by cloning this repository and entering the folder it generates. Then do:

pip install -e .

Documentation

Please see the documentation for more installation details, walkthroughs, and examples.

Citation

For more background, theory, and figures, see the OpenAeroStruct journal article. Please cite this article when using OpenAeroStruct in your research or curricula.

John P. Jasa, John T. Hwang, and Joaquim R. R. A. Martins. "Open-source coupled aerostructural optimization using Python." Structural and Multidisciplinary Optimization 57.4 (2018): 1815-1827. DOI: 10.1007/s00158-018-1912-8

@article{Jasa2018a,
	Author = {John P. Jasa and John T. Hwang and Joaquim R. R. A. Martins},
	Doi = {10.1007/s00158-018-1912-8},
	Journal = {Structural and Multidisciplinary Optimization},
	Month = {April},
	Number = {4},
	Pages = {1815--1827},
	Publisher = {Springer},
	Title = {Open-source coupled aerostructural optimization using {Python}},
	Volume = {57},
	Year = {2018}}

If using the wingbox model, please cite the following conference paper.

Shamsheer S. Chauhan and Joaquim R. R. A. Martins, “Low-Fidelity Aerostructural Optimization of Aircraft Wings with a Simplified Wingbox Model Using OpenAeroStruct,” Proceedings of the 6th International Conference on Engineering Optimization, EngOpt 2018, Springer, Lisbon, Portugal, September 2018, pp. 418–431. doi:10.1007/978-3-319-97773-7 38

@inproceedings{Chauhan2018b,
	Author = {Shamsheer S. Chauhan and Joaquim R. R. A. Martins},
	Address = {Lisbon, Portugal},
	Booktitle = {Proceedings of the 6th International Conference on Engineering Optimization, EngOpt 2018},
	Doi = {10.1007/978-3-319-97773-7_38},
	Pages = {418-431},
	Publisher = {Springer},
	Title = {Low-Fidelity Aerostructural Optimization of Aircraft Wings with a Simplified Wingbox Model Using {OpenAeroStruct}},
	Year = {2018}}

Version Information

This version of OpenAeroStruct requires OpenMDAO 3.2+ and Python3. Python2 is no longer supported. It also requires the folloing packages: numpy, scipy, matplotlib. If you are looking to use the previous version of OpenAeroStruct which uses OpenMDAO 1.7.4, use OpenAeroStruct 1.0 from here.

License

Copyright 2018-2020 MDO Lab

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

openaerostruct's People

Contributors

johnjasa avatar justinsgray avatar kenneth-t-moore avatar hwangjt avatar ewu63 avatar shamsheersc19 avatar samtx avatar nbons avatar lkelvinm avatar kanekosh avatar m-meliani avatar jrram avatar yqliaohk avatar bbahiam avatar naylor-b avatar memolikesbearss avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.