悬架钢板准时加载的全平稳波场测量数据。

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Xuefeng Li , Thomas Brion , Pascal Fossat , Mohamed Ichchou , Olivier Bareille , Abdel-Malek Zine
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引用次数: 0

摘要

所提供的数据集包含悬浮钢板在点力激励下的频域实验结构响应。板由br el & k ær激振器产生的机械点力激励,白噪声信号输入范围为3.125 Hz ~ 2000 Hz。采用Polytec PSV-400扫描式振动仪测量二维网格板外位移场。最后,通过与采样器相连的傅里叶分析仪获取位移场。所提供的数据集为研究大薄板在频域的结构动力行为和验证波数识别方法的有效性提供了有用的资源。其价值已在研究论文“存在不确定性的二维结构复k空间自动提取的代数k空间识别二维技术”[1]中得到说明。数据收集于2022年4月在里昂中央学院进行了为期三周的收集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data on full stationary wave-field measurement of a suspended steel plate punctually loaded
The dataset presented contains the experimental structural response, in the frequency domain, of a suspended steel plate to a point force excitation. The plate is excited by a mechanical point force generated by a Brüel & kJær shaker with a white noise signal input from 3.125 Hz to 2000 Hz. The out-of-plate displacement fields on a 2D grid were measured using a Polytec PSV-400 Scanning Vibrometer. Finally, the displacement fields are acquired by a Fourier analyser connected to a sampler. The dataset provided is a useful resource for researchers to study the structural dynamic behaviour of large thin plates in the frequency domain and to validate the effectiveness of wavenumber identification methods. Its value has been illustrated in the research paper “Algebraic K-Space Identification 2D technique for the automatic extraction of complex k-space of 2D structures in presence of uncertainty” [1]. The data collection was carried out during three weeks in April 2022 at the Ecole Central de Lyon.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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