Underwater sound absorption characteristics of metamaterials with steel plate backing

Shi, Kangkang; Jin, Guoyong; Ye, Tiangui; Zhang, Yantao; Chen, Mingfei; Xue, Yaqiang

doi:10.1016/j.apacoust.2019.04.016

Cited by 38 publications

(12 citation statements)

References 40 publications

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“…To evade detection by armaments, the stealth device is required to manage its reflective or emissive signatures in various ranges, including radar, [1][2][3][4] infrared (IR), [5][6][7][8][9][10][11][12][13][14][15] and sonar. [16][17][18] Regarding IR vigilance, thermal engineering against IR search and track systems (IRSTs), which measure the thermal emission signals of objects, have been investigated. [5][6][7][8][9][10][11][12][13][14][15] At the ambient temperature, thermal camouflage materials adapt their thermal signals to the background signals excitation, [28,29] leading to strong interference.…”

Section: Introductionmentioning

confidence: 99%

Integrated Infrared Signature Management with Multispectral Selective Absorber via Single‐Port Grating Resonance

Park

Kim

Hahn

2021

Advanced Optical Materials

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Engineering reflective or thermal signatures is essential in stealth technology for enhancing survivability. For military weapons, infrared (IR) image fusion with reflective and thermal signatures or a laser guidance system has been adopted for detecting enemies. However, the control of reflective and thermal signatures over the entire mid‐IR (MIR) range requires a complex structure. Herein, integrated IR signature (IIRS) management with a multispectral selective absorber (MSA) against IR fusion cameras and a guidance laser is presented. For multispectral engineering with a periodic metal–insulator–metal structure, the physical concept of single‐port grating resonance (SPGR) is proposed. SPGR exhibits an absorption range 6.4 times broader than that of localized surface plasmon resonance. Covering the entire MIR spectrum, the MSA designed with SPGR reduces the reflective signature by 92.2% at 1.06 µm (wavelength of guidance laser), and 64.6% by short‐wave IR (SWIR) camera, and it reduces the thermal signature by 98.0%. The IIRS management with the MSA reduces the lock‐on range by 70% and 26% for the mid‐wave IR and SWIR cameras, respectively, and provides perfect camouflage performance against the laser guidance, in contrast to stainless steel. The IIRS management with the MSA based on SPGR can be applied to multispectral camouflage.

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Section: Introductionmentioning

confidence: 99%

Integrated Infrared Signature Management with Multispectral Selective Absorber via Single‐Port Grating Resonance

Park

Kim

Hahn

2021

Advanced Optical Materials

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“…The outer space of the sound absorption layer was assumed as a water domain with semi-infinite space, possessing the ideal fluid condition of uniform, incompressible, nonviscous, and zero-flow velocity. The acoustic excitation was a small disturbance near the stable state of the fluid domain, and the wave equation of the fluid medium could be expressed as [ 38 , 39 ]:

in which c represented the sound velocity of the fluid medium (

, K was the bulk modulus, and ρ 0 was the density), p denoted the sound pressure, and

was the transpose of the gradient operator. Taking the integral of small incremental sound pressure over the fluid domain, the following equation could be obtained:

Section: Methodsmentioning

confidence: 99%

“…Taking the integral of small incremental sound pressure over the fluid domain, the following equation could be obtained:

where V f was the fluid domain, S sf was the interface of the fluid domain and the solid domain, S ff was the interface of the fluid domain and the fluid domain, and [n] was the outward unit normal vector of the surface. The equation utilized to represent the medium movement in the small amplitude linear acoustic fields was expressed as [ 39 ]:

in which u represented the particle vibration velocity of the fluid medium. As the structure of the interior sound absorption layer displayed a periodic array, the sound absorption proprieties of the layer could be analyzed using a structural unit according to the Bloch’s theory.…”

Section: Methodsmentioning

confidence: 99%

Finite Element Solution for Dynamic Mechanical Parameter Influence on Underwater Sound Absorption of Polyurethane-Based Composite

Yin

Liu

Wang

et al. 2022

IJMS

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Underwater noise pollution, mainly emitted by shipping and ocean infrastructure development of human activities, has produced severe environmental impacts on marine species and seabed habitats. In recent years, a polyurethane-based (PU-based) composite with excellent damping performance has been increasingly utilized as underwater sound absorption material by attaching it to equipment surfaces. As one of the key parameters of damping materials, dynamic mechanical parameters are of vital importance to evaluating the viscoelastic damping property and thus influencing the sound absorption performance. Nevertheless, lots of researchers have not checked thoroughly the relationship and the mechanism of the material dynamic mechanical parameters and its sound absorption performance. In this work, a finite element model was fabricated and verified effectively using acoustic pulse tube tests to investigate the aforementioned issues. The influence of the dynamic mechanical parameters on underwater sound absorption performance was systematically studied with the frequency domain to reveal the mechanism and the relationship between damping properties and the sound absorption of the PU-based composite. The results indicate that the internal friction of the molecular segments and the structure stiffness were the two main contributors of the PU-based composite’s consumption of sound energy, and the sound absorption peak and the sound absorption coefficient could be clearly changed by adjusting the dynamic mechanical parameters of the composite. This study will provide helpful guidance to develop the fabrication and engineering applications of the PU-based composite with outstanding underwater sound absorption performance.

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“…In order to grasp the sound absorption effect of the structure, this paper adopts the sound absorption coefficient α [28] as the evaluation index of the structure, which is given as follows:…”

Section: Evaluation Indicatorsmentioning

confidence: 99%

A Many-Objective Joint Parallel Simulation Method for Acoustic Optimization Design of Sound-Absorbing Structures

2022

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This paper establishes a many-objective MATLAB with a COMSOL joint parallel simulation optimization method in order to solve the current situation of low efficiency, single objective, and poor effect in acoustic optimization design research for a sound-absorbing structure. Our proposed method combines the means for population partitioning, monitoring, and adaptive normalization, within the framework of the NSGA-III algorithm, which takes the hyperplane deployment scheme into account in its entirety. Compared to the traditional genetic algorithm toolbox of the joint COMSOL optimization scheme, it is shown that the joint parallel simulation optimization method that is constructed in this paper achieves a higher optimization efficiency and a better experimental performance, thereby aiding in the identification of the optimal solution to multiple objectives. The optimization efficiency can increase linearly as the number of available cores on the computer increases. This method is then used to construct a parallel, low-frequency, broadband, highly-sound-absorbing structure. Without any constraints on the optimization objective, the diversity of the optimization results is evident within the parameter optimization range of this paper. The optimization results are stable and substantial, with constrained optimization objectives that have some reference value. In addition, the proposed method can solve acoustic vibration optimization problems and can be applied to other finite element optimization problems.

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Underwater sound absorption characteristics of metamaterials with steel plate backing

Cited by 38 publications

References 40 publications

Integrated Infrared Signature Management with Multispectral Selective Absorber via Single‐Port Grating Resonance

Integrated Infrared Signature Management with Multispectral Selective Absorber via Single‐Port Grating Resonance

Finite Element Solution for Dynamic Mechanical Parameter Influence on Underwater Sound Absorption of Polyurethane-Based Composite

A Many-Objective Joint Parallel Simulation Method for Acoustic Optimization Design of Sound-Absorbing Structures

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