americocunhajr/stonehenge

STONEHENGE is an ensemble of Matlab and C++ codes for nonlinear dynamic analysis of vibration energy harvesting systems.

Suite for Nonlinear Analysis of Energy Harvesting Systems

STONEHENGE - Suite for Nonlinear Analysis of Energy Harvesting Systems is an ensemble of easy-to-run Matlab and C++ codes for the nonlinear dynamic analysis of vibration energy harvesting systems. It encompasses several tools to simulate, optimize, control, and visualize their dynamics, providing a broad and robust framework for numerical experimentation.

Table of Contents

• Overview
• Features
• Usage
• Documentation
• Reproducibility
• Authors
• Citing STONEHENGE
• License
• Institutional support
• Funding
• Contact
• References using STONEHENGE

Overview

STONEHENGE was developed to conduct nonlinear analysis on bistable piezoelectric-magneto-elastic energy harvesters. The code functionalities are reported in the following publication:

• J. P. Norenberg, J. V. L. L. Peterson, V. G. Lopes, R. Luo, L. de la Roca, M. Pereira, J. G. Telles Ribeiro, A. Cunha Jr, STONEHENGE - Suite for Nonlinear Analysis of Energy Harvesting Systems, Software Impacts, vol. 10, pp. 100161, 2021. DOI

Features

• Comprehensive nonlinear dynamic analysis of energy harvesting systems
• Simulation, optimization, control, and visualization tools
• Robust framework for numerical experimentation
• Fully reproducible simulations

Usage

To get started with STONEHENGE, follow these steps:

1. Clone the repository:

   git clone https://github.com/americocunhajr/STONEHENGE.git

2. Navigate to the package directory:

   cd STONEHENGE/STONEHENGE-1.0

STONEHENGE can be used to simulate, optimize, control, and visualize the dynamics of bistable piezoelectric-magneto-elastic energy harvesters. Detailed usage instructions and examples are provided within the code comments and the provided documentation.

Documentation

The routines in STONEHENGE are well-commented to explain their functionality. Each routine includes a description of its purpose, as well as inputs and outputs. Detailed documentation can be found within the code comments. An user-manual is available showing the package functionalities.

Reproducibility

Simulations done with STONEHENGE are fully reproducible. You can find a fully reproducible capsule of the simulations on CodeOcean.

Authors

• João Pedro C. V. Norenberg
• João Victor L. L. Peterson
• Vinicius G. Lopes
• Roberto Luo
• Leonardo de la Roca
• Marcelo Pereira
• José Geraldo Telles Ribeiro
• Americo Cunha Jr

Citing STONEHENGE

If you use STONEHENGE in your research, please cite the following publication:

• J. P. Norenberg, J. V. L. L. Peterson, V. G. Lopes, R. Luo, L. de la Roca, M. Pereira, J. G. Telles Ribeiro, A. Cunha Jr, STONEHENGE - Suite for Nonlinear Analysis of Energy Harvesting Systems, Software Impacts, 10:100161, 2021 http://dx.doi.org/10.1016/j.simpa.2021.100161

@article{STONEHENGE2021,
   author       = {J. P. Norenberg and J. V. L. L. Peterson and V. G. Lopes and R. Luo and L. de la Roca and M. Pereira and J. G. {Telles Ribeiro} and A. Cunha Jr},
   title        = { {STONEHENGE} - {S}uite for {N}onlinear {A}nalysis of {E}nergy {H}arvesting {S}ystems},
   year         = {2021},
   journal      = {Software Impacts},
   volume.      = {10},
   pages        = {100161},
   note         = {10.1016/j.simpa.2021.100161},
}

License

STONEHENGE 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

       

Contact

For any questions or further information, please contact the authors at:

• João Pedro C. V. Norenberg: [email protected]
• Americo Cunha Jr: [email protected]

References using STONEHENGE

The following references used STONEHENGE to obtain their results. If you want to see your publication listed here, please contact us.

• J. P. Norenberg, and A. Cunha Jr, Vibration mitigation and energy harvesting with bistable resonators in metamaterial beams, In: 27th International Congress on Mechanical Engineering (COBEM 2023), Florianópolis. Proceedings of COBEM 2023, 2023.

• J. P. Norenberg, R. Luo, V. G. Lopes, J. V. L. L. Peterson, and A. Cunha, Nonlinear dynamics of asymmetric bistable energy harvesters, International Journal of Mechanical Sciences, vol. 257, pp. 108542, 2023.

• J. P. Norenberg, A. Cunha Jr, P. Wolszczak, and G. Litak, Piezomagnetic vibration energy harvester with an amplifier, Theoretical & Applied Mechanics Letters, vol. 13, pp. 100478, 2023.

• J. P. Norenberg, A. Cunha, S. da Silva, and P. S. Varoto, Probabilistic maps on bistable vibration energy harvesters, Nonlinear Dynamics, vol. 111, pp. 20821-20840, 2023.

• J. G. Telles Ribeiro, M. Pereira, A. Cunha Jr, and L. Lovisolo, Controlling chaos for energy harvesting via digital extended time-delay feedback, European Physical Journal-Special Topics, vol. 231, pp. 1485-1490, 2022.

• J. C. C. Basilio, T. R. Oliveira, J. G. Telles Ribeiro, and A. Cunha, Evaluation of Fractional-Order Sliding Mode Control Applied to an Energy Harvesting System, In: 2022 16th International Workshop on Variable Structure Systems (VSS), Rio de Janeiro. 2022 16th International Workshop on Variable Structure Systems (VSS), 2022. pp. 243.

• R. Luo, J. P. Norenberg, and A. Cunha Jr, Análise numérica num dispositivo coletor de energia assimétrico não linear, In: Congresso Nacional de Estudantes de Engenharia Mecânica (CREEM 2022), Santa Maria. Anais do CREEM 2022, 2022.

• A. Cunha, G. Litak, and P. Wolszczak, Effect of stochastic excitation on sub-harmonic solutions in a bistable energy harvester, In: International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2020), 2022, Rhodes, 2020. vol. 2425. pp. 410003.

• J. P. Norenberg, A. Cunha Jr, S. da Silva, and P. S. Varoto, Global sensitivity analysis of asymmetric energy harvesters, Nonlinear Dynamics, vol. 109, pp. 443-458, 2022.

• Canisso Valese Norenberg, João Pedro; Luo Yuan Cai, Roberto; Cunha Jr, Americo; da Silva, Samuel; Varoto, Paulo, Remarks on the dynamic behavior of an asymmetric bistable energy harvester, In: 26th International Congress of Mechanical Engineering, 2021, Florianópolis. Proceedings of the 26th International Congress of Mechanical Engineering, 2021.

• A. Cunha Jr, Enhancing the performance of a bistable energy harvesting device via the cross-entropy method, Nonlinear Dynamics (Dordrecht. Online), vol. 103, pp. 137-155, 2021.

• J. P. Norenberg, J. V. L. L. Peterson, V. G. Lopes, R. Luo, L. de la Roca, M. Pereira, J. G. Telles Ribeiro, and A. Cunha Jr, STONEHENGE - Suite for Nonlinear Analysis of Energy Harvesting Systems, Software Impacts, vol. 10, pp. 100161, 2021.

• V. G. Lopes, J. V. L. L. Peterson, and A. Cunha Jr, The nonlinear dynamics of a bistable energy harvesting system with colored noise disturbances, Journal of Computational Interdisciplinary Sciences, vol. 10, pp. 125, 2019.

• V. Lopes, J. V. L. L. Peterson, and A. Cunha Jr, Nonlinear characterization of a bistable energy harvester dynamical system, Topics in Nonlinear Mechanics and Physics: Selected Papers from CSNDD 2018, Editor: M. Belhaq, Springer Singapore, pp. 71-88, 2019.

• L. de la Roca, J. Peterson, M. Pereira, and A. Cunha Jr, Control of chaos via OGY method on a bistable energy harvester, In: 25th ABCM International Congress of Mechanical Engineering (COBEM 2019), Uberlândia, Brazil, 2019.

• V. Lopes, J. V. L. L. Peterson, and A. Cunha Jr, On the nonlinear dynamics of a bi-stable piezoelectric energy harvesting device, In: 24th ABCM International Congress of Mechanical Engineering (COBEM 2017), Curitiba, Brazil, 2017.

• V. Lopes, J. V. L. L. Peterson, and A. Cunha Jr, Numerical study of parameters influence over the dynamics of a piezo-magneto-elastic energy harvesting device, In: XXXVII Congresso Nacional de Matemática Aplicada e Computacional (CNMAC 2017), São José dos Campos, Brazil, 2017.

• J. V. L. L. Peterson, V. Lopes, and A. Cunha Jr, Maximization of the electrical power generated by a piezo-magneto-elastic energy harvesting device, In: XXXVI Congresso Nacional de Matemática Aplicada e Computacional (CNMAC 2016), Gramado, Brazil, 2016.