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. 2023 Jul 21;16(14):5139.
doi: 10.3390/ma16145139.

A Power-Based Framework for Quantifying Parameter Uncertainties in Finite Vibroacoustic Metamaterial Plates

Affiliations

A Power-Based Framework for Quantifying Parameter Uncertainties in Finite Vibroacoustic Metamaterial Plates

Heiko Atzrodt et al. Materials (Basel). .

Abstract

Vibroacoustic metamaterials (VAMMs) are artificial materials that are specifically designed to control, direct, and manipulate sound waves by creating a frequency gap, known as the stop band, which blocks free wave propagation. In this paper, a new power-based approach that relies on the active structural intensity (STI) for predicting the stop band behavior of finite VAMM structures is presented. The proposed method quantifies the power loss in a locally resonant finite VAMM plate in terms of percentage, such as STI99% and STI90%, for stop band prediction. This allows for the quantitative analysis of the vibration attenuation capabilities of a VAMM structure. This study is presented in the context of a two-dimensional VAMM plate with 25 resonators mounted in the middle section of the plate. It has been demonstrated that this method can predict the stop band limits of a finite VAMM plate more accurately than using negative effective mass, unit cell dispersion analysis, or the frequency response function methods. The proposed approach is then implemented to establish a framework for investigating the influence of parameter uncertainties on the stop band behavior of the VAMM plate. Based on the STI99% method, which aims for significant vibration reduction, stricter tolerances in the mass fabrication process are required to ensure the robustness of VAMM. Conversely, the STI90% method suggests that larger fabrication tolerances can be leveraged to achieve a broader stop band range while still meeting the desired performance level, leading to cost savings in manufacturing.

Keywords: active structural intensity; finite VAMM; power loss; stop band; uncertainty.

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Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Figures

Figure 1
Figure 1
Example of FRF curves of the host structure and VAMM for (a) an ideal system and (b) a system with a resonator mass reduction of 21%. Two possible approaches, namely the intersection point method (black dashed lines) and the 20 dB reduction method (maroon dashed lines) are shown for predicting the stop band width. The gray region represents the stop band.
Figure 2
Figure 2
Definition of internal forces and moments as well as the rotational and translational vibrational velocities [45].
Figure 3
Figure 3
Illustration of Equation (11).
Figure 4
Figure 4
Schematic representation of the VAMM plate and its UC with its dimensions.
Figure 5
Figure 5
Effective mass of a single UC shown in Figure 4.
Figure 6
Figure 6
(a) FE mesh of a 1D periodic system based on [49]. (b) A UC of a rectangular lattice exhibiting periodicity along the directions, ai. The master DOFs are marked in maroon. The indices describe the positions, such as left, right, top, and bottom.
Figure 7
Figure 7
(a) Dispersion relation for wave propagation in the x-direction (0 – π) using the UCDAinv method for the undamped infinite VAMM plate and (b) dispersion relation for wave propagation in the x-direction using UCDAdir for the damped system. The gray region represents the stop band.
Figure 8
Figure 8
(a) Amplitude reduction, Ared, and (b) energy reduction, Ered, of the wave propagating through a single-damped UC.
Figure 9
Figure 9
(a) Amplitude reduction, Ared, and (b) energy reduction, Ered, of the wave propagating through five damped UCs. The gray region represents the stop band.
Figure 10
Figure 10
Illustration of the VAMM plate model with boundary condition (BC) nodes, input nodes, output nodes, and resonators.
Figure 11
Figure 11
Comparison of the host structure’s FRF with the finite VAMM plate using different stop band prediction methods. (a) Undamped case: meff and UCDAinv. (b) Damped case: UCDAdir.
Figure 12
Figure 12
Power flow on the bare plate and VAMM plate along the length of the plate for a frequency of 131 Hz.
Figure 13
Figure 13
(a) Illustration of the VAMM plate with a contoured integral line and normal vectors defined for the calculation of the power loss and (b) the power loss of the damped VAMM plate.
Figure 14
Figure 14
Illustration of the VAMM plate with the contoured integral line and normal vectors defined for the calculation of power loss.
Figure 15
Figure 15
Comparison of the power loss in (a) undamped and (b) damped VAMM plates. Comparison of stop bands predicted by STI99% and STI90% with (cPloss,Rel, and (d) with FRFs. The gray region represents the stop band.
Figure 16
Figure 16
Comparison of the host structure’s FRF with the finite VAMM plate using different stop band prediction methods. (a) Undamped case: STI99%meff, and UCDAinv. (b) Damped case: STI99%STI90%UCDAdir99%, and UCDAdir90%.
Figure 17
Figure 17
Simulation flow in uncertainty analysis.
Figure 18
Figure 18
Stopband width as a function of CV for two different threshold values: (a90% and (b99%.

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