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Namazu: Low-Cost Tunable Shaking Table for Vibration Experiments Under Generic Signals

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  • Carl von Ossietzky Universität Oldenburg
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OriginalspracheEnglisch
Aufsatznummer102994
Seiten (von - bis)97–115
Seitenumfang19
FachzeitschriftExperimental techniques
Jahrgang49
Ausgabenummer1
Frühes Online-Datum14 Juni 2024
PublikationsstatusVeröffentlicht - Feb. 2025

Abstract

This article presents Namazu, a low-cost tunable shaking table framework for uniaxial vibration experiments in engineering education and research. All components and corresponding assembly are detailed. The design is easy to use and requires minimum maintenance. Open-source software covering signal generation and microcontroller programming is proposed to prescribe the motion of the table. There is no restriction in the programming language used to interface with the table. Communication with the microcontroller is performed via a serial interface, which eliminates the need for additional software. Besides, any displacement signals, including random ones, can be chosen. Due to the open-source nature of the Namazu table, users can also implement custom methods for signal generation and modify the table hardware. Suggestions are given in the paper. Accuracy is analyzed through displacement measurements. In addition, the Shinozuka benchmark is proposed and applied to test the table accuracy in the frequency domain. The results show good consistency of the signals obtained with the setpoints. Thus, Namazu, including the shaking table and a software suite, offers a versatile, accessible, and accurate solution for vibration experiments.

ASJC Scopus Sachgebiete

Zitieren

Namazu: Low-Cost Tunable Shaking Table for Vibration Experiments Under Generic Signals. / Grashorn, J.; Bittner, M.; Banse, M. et al.
in: Experimental techniques, Jahrgang 49, Nr. 1, 102994, 02.2025, S. 97–115.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Grashorn J, Bittner M, Banse M, Chang X, Beer M, Fau A. Namazu: Low-Cost Tunable Shaking Table for Vibration Experiments Under Generic Signals. Experimental techniques. 2025 Feb;49(1):97–115. 102994. Epub 2024 Jun 14. doi: 10.1007/s40799-024-00727-8
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AU - Bittner, M.

AU - Banse, M.

AU - Chang, X.

AU - Beer, M.

AU - Fau, A.

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KW - Stochastic dynamics

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