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https://github.com/americocunhajr/randbar
RandBar is a Matlab code to simulate the nonlinear stochastic dynamics of a bar structural system with attached discrete elements.
https://github.com/americocunhajr/randbar
dynamical-systems matlab monte-carlo-simulation nonlinear-dynamics stochastic-dynamics structural-dynamics uncertainty-quantification
Last synced: 12 days ago
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RandBar is a Matlab code to simulate the nonlinear stochastic dynamics of a bar structural system with attached discrete elements.
- Host: GitHub
- URL: https://github.com/americocunhajr/randbar
- Owner: americocunhajr
- License: mit
- Created: 2020-07-19T03:37:14.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-07-18T03:31:32.000Z (4 months ago)
- Last Synced: 2024-07-18T23:45:37.579Z (4 months ago)
- Topics: dynamical-systems, matlab, monte-carlo-simulation, nonlinear-dynamics, stochastic-dynamics, structural-dynamics, uncertainty-quantification
- Language: MATLAB
- Homepage: https://americocunhajr.github.io/RandBar
- Size: 11.9 MB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## Random Dynamics of a Bar System
**RandBar: Random Dynamics of a Bar System** is a powerful Matlab tool designed to simulate the nonlinear stochastic dynamics of a bar structural system with attached discrete elements. The code is developed with an educational approach, making it user-friendly and intuitive.
### Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Usage](#usage)
- [Documentation](#documentation)
- [Authors](#authors)
- [Citing RandBar](#citing-randbar)
- [License](#license)
- [Institutional Support](#institutional-support)
- [Funding](#funding)
### Overview
**RandBar** was developed to conduct stochastic simulations of a bar structural system with attached discrete elements. The results have been published in a peer-reviewed journal:
- **A. Cunha Jr, R. Sampaio**, *On the nonlinear stochastic dynamics of a continuous system with discrete attached elements*, Applied Mathematical Modelling, 39, pp. 809-819, 2015. [DOI](http://dx.doi.org/10.1016/j.apm.2014.07.012)
### Features
- Simulates nonlinear stochastic dynamics of bar systems
- Intuitive Matlab implementation
- Educationally styled code for easy understanding
### Usage
To get started with **RandBar**, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/americocunhajr/RandBar.git
```
2. Navigate to the code directory:
```bash
cd RandBar/RandBar-1.0
```
3. Execute:
```bash
main__randbar_fixed_mass_spring__MC
```
### Documentation
The routines in **RandBar** are thoroughly commented to explain their functionality. Each routine includes a description of its purpose, as well as inputs and outputs.
### Authors
- Americo Cunha Jr
- Rubens Sampaio
### Citing RandBar
If you use **RandBar** in your research, please cite the following publication:
- *A. Cunha Jr, R. Sampaio, On the nonlinear stochastic dynamics of a continuous system with discrete attached elements, Applied Mathematical Modelling, v. 39, pp. 809-819, 2015 http://dx.doi.org/10.1016/j.apm.2014.07.012*
```
@article{CunhaJr2015p809,
author = {A. {Cunha~Jr} and R. Sampaio},
title = {On the nonlinear stochastic dynamics of a continuous system with discrete attached elements},
journal = {Applied Mathematical Modelling},
year = {2015},
volume = {39},
pages = {809-819},
doi = {http://dx.doi.org/10.1016/j.apm.2014.07.012},
}
```
### License
**RandBar** 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
