five

Data, analysis code and simulation code for "Geometric control of topological dynamics in a singing saw"

收藏
Figshare2022-03-30 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Data_analysis_code_and_simulation_code_for_Geometric_control_of_topological_dynamics_in_a_singing_saw_/19441385
下载链接
链接失效反馈
官方服务:
资源简介:
This repository contains all experimental data and source code required to reproduce the figures in the paperShankar S, Bryde P, Mahadevan L. 2022 Geometric control of topological dynamics in a singing saw. Proceedings of the National Academy of Sciences USA.also available as a preprint atShankar S, Bryde P, Mahadevan L. 2021 Geometric control of topological dynamics in a singing saw. arXiv preprint arXiv:2108.10875.The dataset contains the following folders:experiments: Contains the experimental data (raw audio) and data analysis code to reproduce the experimental components of the figures: Fig. 1D, Fig. 3C-D, and Fig. S1A-C.The experimental data is contained in the J-bow, J-mallet, S-saw and S-mallet subfolders.simulations: Contains the code to run the numerical simulations and reproduce Fig. 2B-E, Fig. 3A-B, Fig. S2A-B, and Fig. S3A-D.The simulation code is written in Python and organized as follows:The shells folder contains finite element simulation code based partly on the FEniCS-Shells library1 and employs the FEniCS Project finite element problem solving environment.The saw folder contains scripts that perform the numerical simulations and produce the graphs. More information can be found in the README.---1Simple and extensible plate and shell finite element models through automatic code generation tools, J. S. Hale, M. Brunetti, S. P. A. Bordas, C. Maurini. Computers & Structures, 209, 163-181, doi.org/10.1016/j.compstruc.2018.08.001.2M. Alnæs, J. Blechta, J. Hake, A. Johansson, B. Kehlet, Anders Logg, Chris Richardson, Johannes Ring, Marie E.Rognes, and Garth N. Wells. The FEniCS Project Version 1.5. Archive of Numerical Software, 3(100), December2015. ISSN 2197-8263. doi: 10.11588/ans.2015.100.20553. URL http://journals.ub.uni-heidelberg.de/index.php/ans/article/view/20553.
创建时间:
2022-03-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作