Sound insulation characteristics of small fixed windows in a laboratory and prediction with an existing theory

Mimura, Marie; Tsukamoto, Yohei; Tomikawa, Yoshihiro; Okuzono, Takeshi; Sakagami, Kimihiro

doi:10.1250/ast.43.276

Cited by 1 publication

(4 citation statements)

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“…Therefore, it was able to show higher accuracy than the numerical model using Type 1. Although the total loss factor remains an unknown value at a design stage, our earlier study (Mimura et al, 2022b) revealed that its frequency-averaged value shows a linear relation with the parameter U S of windows, where U and S represent the window perimeter and area, which indicates the possibility of predicting the total loss factor of different-sized windows. This possibility will be explored further in our future studies.…”

Section: Resultsmentioning

confidence: 97%

“…The second setup gives a measured total loss factor having frequency-dependence to window glazing. We examined the accuracy of the numerical model by comparing it with measured SRIs in laboratory measurements described in the authors' earlier work (Mimura et al, 2022b). For readers' convenience, we explain the measurement briefly in Section 2.1.…”

Section: Prediction Using Model With Window Part Onlymentioning

confidence: 99%

“…Therefore, the applicability of FEM to SRI predictions of real windows having different sizes remains unclear. Because actual dwellings use various-sized windows and because their sound insulation performance is influenced by the window or plate size (Guy et al, 1985;Mimura et al, 2022b), the prediction accuracy of SRIs using FEM should be examined for windows of multiple sizes. Furthermore, as described earlier, SRI predictions of windows using FEM in a wide frequency range require great computational effort when a detailed structure of the window is modeled.…”

Section: Introductionmentioning

confidence: 99%

“…FIGURE 4Measurement results of five fixed windows, (A) Sound reduction indices, and (B) Total loss factors(Mimura et al, 2022b).…”

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confidence: 99%

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Finite element modeling for predicting sound insulation of fixed windows in a laboratory environment

Mimura

Okuzono

Sakagami

2022

Front. Built Environ.

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This paper presents discussion of the prediction capability of three numerical models using finite element method for predicting the sound reduction index (SRI) of fixed windows having different dimensions in a laboratory environment. The three numerical models tested here only discretize the window part or windows part and the space around the windows to reduce the necessary computational cost for vibroacoustics simulations. An ideal diffused sound incidence condition is assumed for three models. Their predictability and numerical efficiency were examined over five fixed windows with different dimensions compared to measured SRIs. First, the accuracy of the simplest model in which the window part is only discretized with finite elements was examined. Acoustic radiation to the transmission field is computed using Rayleigh’s integral. Calculations were performed under two loss factor setups respectively using internal loss factors of each material and measured total loss factor of each window. The results were then compared with the measured values. Results revealed the effectiveness of using the measured total loss factor at frequencies around and above the coincidence frequencies. Subsequently, we tested the prediction accuracy of a numerical model that includes a niche existing in a laboratory environment. Also, hemispherical free fields around the window are discretized using fluid elements and infinite fluid elements. The results underscored the importance of including a niche in a numerical model used to predict sound reduction index below 1 kHz for smaller windows accurately. Nevertheless, this numerical model, including a niche, entails high computational costs. To enhance the prediction efficiency, we examined the applicability of a weak-coupling model that divides calculation procedures into three steps: (1) incidence field calculation to the window surface, (2) sound transmission calculation in fixed windows, and (3) sound radiation calculation from a window surface to a transmission field. Results revealed that the weak-coupling model produces almost identical results to those of a strong-coupling model, but with higher efficiency.

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Section: Resultsmentioning

confidence: 97%

Section: Prediction Using Model With Window Part Onlymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…FIGURE 4Measurement results of five fixed windows, (A) Sound reduction indices, and (B) Total loss factors(Mimura et al, 2022b).…”

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confidence: 99%

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