Prediction of rainfall noise radiated by sandwich panels using the Finite Transfer Matrix Method

Multilayer elements, such as sandwich panels, are often used to form the roof of a building or car; hence validated prediction models are needed to determine the sound radiated by them during rainfall. To calculate the radiation efficiency of a sandwich panel formed from two plates and a porous material, the Finite Transfer Matrix Method (FTMM) has been used with an order-reduced integral equation and an additional term to account for nearfield radiation because, in comparison with homogeneous plates, sandwich panels tend to have high damping. Transfer mobility measurements on the sandwich panel showed that vibrational energy was concentrated near the point of excitation due to the panel being highly damped, and confirmed the validity of the limp porous material model for the foam that was used as the porous material. Experimental validation of the prediction models used artificial rain with drops impacting at approximately terminal velocity. This demonstrated that it was necessary to include the effect of nearfield radiation in the overall radiation efficiency. An assessment of existing empirical and semi-empirical models for the time-dependent force applied by liquid water drops showed that for this application of artificial rain in the laboratory it was reasonable to assume a dry surface when predicting the structure-borne sound power input.

Institutions

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-01-21
DOI
https://doi.org/10.1051/aacus/2025070/pdf
Primary Topic
Acoustic Wave Phenomena Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of rainfall noise radiated by sandwich panels using the Finite Transfer Matrix Method

Springer Link (Chiba Institute of Technology)
Acoustic Wave Phenomena Research
article

Prediction of rainfall noise radiated by sandwich panels using the Finite Transfer Matrix Method

article en

Abstract

Multilayer elements, such as sandwich panels, are often used to form the roof of a building or car; hence validated prediction models are needed to determine the sound radiated by them during rainfall. To calculate the radiation efficiency of a sandwich panel formed from two plates and a porous material, the Finite Transfer Matrix Method (FTMM) has been used with an order-reduced integral equation and an additional term to account for nearfield radiation because, in comparison with homogeneous plates, sandwich panels tend to have high damping. Transfer mobility measurements on the sandwich panel showed that vibrational energy was concentrated near the point of excitation due to the panel being highly damped, and confirmed the validity of the limp porous material model for the foam that was used as the porous material. Experimental validation of the prediction models used artificial rain with drops impacting at approximately terminal velocity. This demonstrated that it was necessary to include the effect of nearfield radiation in the overall radiation efficiency. An assessment of existing empirical and semi-empirical models for the time-dependent force applied by liquid water drops showed that for this application of artificial rain in the laboratory it was reasonable to assume a dry surface when predicting the structure-borne sound power input.

Springer Link (Chiba Institute of Technology)
University of Liverpool (GB)
Affordable and clean energy
Openalex Percentile: Top 99%
Acoustic Wave Phenomena Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.