Sound fields above porous layers or rough acoustically hard boundaries may include airborne surface waves. The surface wave properties depend on the effective surface admittance. Analytical expressions for surface wave speeds are derived from models for the acoustical properties of rigid porous media. Surface wave effects on measurements of level difference spectra over porous asphalt are investigated and predictions of phase, group speeds, and vertical attenuation of the surface waves over externally reacting hard backed layers corresponding to a porous asphalt are compared. Predictions of surface wave characteristics above an identical vertical slit medium are compared with data obtained over arrays of parallel aluminum strips on an acoustically hard surface. Group speeds of surface waves over lattices, parallel regularly spaced strips, and snow obtained by numerical differentiation of the phase speed spectra corresponding to admittance spectra deduced from complex excess attenuation are found to compare well with those estimated from time domain data. An effective admittance, deduced from a boundary element method simulation of the excess attenuation spectrum over regularly spaced ribs so that the frequency of the peak corresponds with that in the measured spectrum, is used to estimate the group speed of the associated surface wave.
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http://dx.doi.org/10.1121/10.0028190 | DOI Listing |
Adv Sci (Weinh)
January 2025
CNRS, FEMTO-ST, Université de Franche-Comté, 15B avenue des Montboucons, Besançon, F-25000, France.
Metasurfaces, consisting of subwavelength-thickness units with different wave responses, provide an innovative possible method to manipulate elastic and acoustic waves efficiently. The application of metasurfaces to manipulate on-chip surface acoustic wave (SAW) at sub-GHz frequencies requires further exploration since their wave functions are highly demanded in nanoelectromechanical systems (NEMS), sensing, communications, microfluid control and quantum processing. Here, the experimental realization of on-chip SAW metasurfaces is reported, consisting of gradient submicron niobium (Nb) rectangular pillars positioned on a 128°Y-cut lithium niobate (LiNbO) substrate that operate at hundreds of megahertz.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
School of Chemistry and Materials Science, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Electromagnetic wave absorption materials that can be utilized for freewill adhering or peeling from the target substrate remain a challenge to be solved. Compared to powder-based slurry and coatings, microwave absorption films possess clear advantages for their good flexibility and machinability. However, the matching thickness and effective bandwidth of 2D microwave absorption films cannot satisfy the current application requirements.
View Article and Find Full Text PDFSci Rep
January 2025
School of Advanced Technologies, Iran University of Science and Technology, Tehran, 1684613114, Iran.
This study presents a very thin wideband linear polarization converter in transmission mode with near-unity conversion efficiency. The suggested converter consists of a periodic array on a single-layer substrate, two metallic layers and six vias. Metallic vias connect the upper and lower layers of the construction.
View Article and Find Full Text PDFScience
January 2025
Department of Geoinformatics, University of Kashmir, Srinagar, India.
On 3 October 2023, a multihazard cascade in the Sikkim Himalaya, India, was triggered by 14.7 million m of frozen lateral moraine collapsing into South Lhonak Lake, generating an ~20 m tsunami-like impact wave, breaching the moraine, and draining ~50 million m of water. The ensuing Glacial Lake Outburst Flood (GLOF) eroded ~270 million m of sediment, which overwhelmed infrastructure, including hydropower installations along the Teesta River.
View Article and Find Full Text PDFData Brief
February 2025
Faculty of Civil and Environmental Engineering, Technion, Haifa 320003, Israel.
Effective spatio-temporal measurements of water surface elevation (water waves) in laboratory experiments are essential for scientific and engineering research. Existing techniques are often cumbersome, computationally heavy and generally suffer from limited wavenumber/frequency response. To address these challenges a novel method was developed, using polarization filter equipped camera as the main sensor and Machine Learning (ML) algorithms for data processing [1,2].
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