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https://github.com/americocunhajr/eleven
ELEVEN is a Matlab code for robust optimization and uncertainty quantification of an elevator brake system.
https://github.com/americocunhajr/eleven
computational-mechanics computational-physics mechanics nonlinear-systems numerical-optimization robust-optimization structural-engineering uncertainty-quantification
Last synced: 12 days ago
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ELEVEN is a Matlab code for robust optimization and uncertainty quantification of an elevator brake system.
- Host: GitHub
- URL: https://github.com/americocunhajr/eleven
- Owner: americocunhajr
- License: mit
- Created: 2020-08-05T01:42:42.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-07-18T03:37:43.000Z (4 months ago)
- Last Synced: 2024-07-19T01:19:24.433Z (4 months ago)
- Topics: computational-mechanics, computational-physics, mechanics, nonlinear-systems, numerical-optimization, robust-optimization, structural-engineering, uncertainty-quantification
- Language: MATLAB
- Homepage: https://americocunhajr.github.io/ELEVEN
- Size: 2.4 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## Elevator Brake Optimization and UQ
**ELEVEN: Elevator Brake Optimization and UQ** is a robust Matlab tool designed for the optimization and uncertainty quantification (UQ) of an elevator brake system. Developed with an educational approach, ELEVEN is intuitive and user-friendly, making it accessible for both researchers and engineers in the field of mechanical engineering.
### Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Usage](#usage)
- [Documentation](#documentation)
- [Authors](#authors)
- [Citing ELEVEN](#citing-eleven)
- [License](#license)
- [Institutional support](#institutional-support)
- [Funding](#funding)### Overview
**ELEVEN** was developed to conduct numerical simulations related to the robust optimization and uncertainty quantification of an elevator brake system. The results have been published in the following peer-reviewed journal:
- **P. Wolszczak, P. Lonkwic, A. Cunha Jr, G. Litak, and S. Molski**, *Robust optimization and uncertainty quantification in the nonlinear mechanics of an elevator brake system*, Meccanica, 54, pp. 1057-1069, 2019. DOI### Features
- Robust optimization for elevator brake systems
- Uncertainty quantification for elevator brake systems
- Intuitive Matlab implementation
- Educational style code for easy understanding### Usage
To get started with **ELEVEN**, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/americocunhajr/ELEVEN.git
```
2. Navigate to the code directory:
```bash
cd ELEVEN/ELEVEN-1.0
```
3. For robust optimization, execute:
```bash
main_elevator_braking_opt
```
4. For uncertainty quantification, execute:
```bash
main_elevator_braking_mc
```### Documentation
The routines in **ELEVEN** are well-commented to explain their functionality. Each routine includes a description of its purpose, as well as inputs and outputs.### Authors
- Piotr Wolszczak
- Pawel Lonkwic
- Americo Cunha Jr
- Grzegorz Litak
- Szymon Molski### Citing ELEVEN
If you use **ELEVEN** in your research, please cite the following publication:
- *P. Wolszczak, P. Lonkwic, A. Cunha Jr, G. Litak, and S. Molski, Robust optimization and uncertainty quantification in the nonlinear mechanics of an elevator brake system, Meccanica, v. 54, pp. 1057-1069, 2019 https://doi.org/10.1007/s11012-019-00992-7*```
@article{Wolszczak2019p1057,
author = {P. Wolszczak and P. Lonkwic and A. {Cunha~Jr} and G. Litak and S. Molski},
title = {Robust optimization and uncertainty quantification in the nonlinear mechanics of an elevator brake system},
journal = {Meccanica},
year = {2019},
volume = {54},
pages = {1057-1069},
doi = {https://doi.org/10.1007/s11012-019-00992-7},
}
```### License
**ELEVEN** is released under the MIT license. See the LICENSE file for details. All new contributions must be made under the MIT license.
### Institutional support
### Funding