Effect of Systematic Errors on Building Component Sound Insulation Measurements Using Near-Field Acoustic Holography
Near-field acoustic holography (NAH) provides an effective way to achieve wide-band, high-resolution visualization measurement of the sound insulation performance of building components. However, based on Green’s function, the microphone array’s inherent amplitude and phase mismatch errors will expo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/15/2619 |
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| author | Wei Xiong Wuying Chen Zhixin Li Heyu Zhu Xueqiang Wang |
| author_facet | Wei Xiong Wuying Chen Zhixin Li Heyu Zhu Xueqiang Wang |
| author_sort | Wei Xiong |
| collection | DOAJ |
| description | Near-field acoustic holography (NAH) provides an effective way to achieve wide-band, high-resolution visualization measurement of the sound insulation performance of building components. However, based on Green’s function, the microphone array’s inherent amplitude and phase mismatch errors will exponentially amplify the sound field inversion process, significantly reducing the measurement accuracy. To systematically evaluate this problem, this study combines numerical simulation with actual measurements in a soundproof room that complies with the ISO 10140 standard, quantitatively analyzes the influence of array system errors on NAH reconstructed sound insulation and acoustic images, and proposes an error correction strategy based on channel transfer function normalization. The research results show that when the array amplitude and phase mismatch mean values are controlled within 5% and 5°, respectively, the deviation of the weighted sound insulation measured by NAH can be controlled within 1 dB, and the error in the key frequency band of building sound insulation (200–1.6k Hz) does not exceed 1.5 dB; when the mismatch mean value increases to 10% and 10°, the deviation of the weighted sound insulation can reach 2 dB, and the error in the high-frequency band (≥1.6k Hz) significantly increases to more than 2.0 dB. The sound image shows noticeable spatial distortion in the frequency band above 250 Hz. After applying the proposed correction method, the NAH measurement results of the domestic microphone array are highly consistent with the weighted sound insulation measured by the standard method, and the measurement difference in the key frequency band is less than 1.0 dB, which significantly improves the reliability and applicability of low-cost equipment in engineering applications. In addition, the study reveals the inherent mechanism of differential amplification of system errors in the propagating wave and evanescent wave channels. It provides quantitative thresholds and operational guidance for instrument selection, array calibration, and error compensation of NAH technology in building sound insulation detection. |
| format | Article |
| id | doaj-art-3010ad089cb640f19cca4e989aff3331 |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-3010ad089cb640f19cca4e989aff33312025-08-20T03:35:58ZengMDPI AGBuildings2075-53092025-07-011515261910.3390/buildings15152619Effect of Systematic Errors on Building Component Sound Insulation Measurements Using Near-Field Acoustic HolographyWei Xiong0Wuying Chen1Zhixin Li2Heyu Zhu3Xueqiang Wang4Architecture & Design College, Nanchang University, Nanchang 330031, ChinaArchitecture & Design College, Nanchang University, Nanchang 330031, ChinaArchitecture & Design College, Nanchang University, Nanchang 330031, ChinaArchitecture & Design College, Nanchang University, Nanchang 330031, ChinaArchitecture & Design College, Nanchang University, Nanchang 330031, ChinaNear-field acoustic holography (NAH) provides an effective way to achieve wide-band, high-resolution visualization measurement of the sound insulation performance of building components. However, based on Green’s function, the microphone array’s inherent amplitude and phase mismatch errors will exponentially amplify the sound field inversion process, significantly reducing the measurement accuracy. To systematically evaluate this problem, this study combines numerical simulation with actual measurements in a soundproof room that complies with the ISO 10140 standard, quantitatively analyzes the influence of array system errors on NAH reconstructed sound insulation and acoustic images, and proposes an error correction strategy based on channel transfer function normalization. The research results show that when the array amplitude and phase mismatch mean values are controlled within 5% and 5°, respectively, the deviation of the weighted sound insulation measured by NAH can be controlled within 1 dB, and the error in the key frequency band of building sound insulation (200–1.6k Hz) does not exceed 1.5 dB; when the mismatch mean value increases to 10% and 10°, the deviation of the weighted sound insulation can reach 2 dB, and the error in the high-frequency band (≥1.6k Hz) significantly increases to more than 2.0 dB. The sound image shows noticeable spatial distortion in the frequency band above 250 Hz. After applying the proposed correction method, the NAH measurement results of the domestic microphone array are highly consistent with the weighted sound insulation measured by the standard method, and the measurement difference in the key frequency band is less than 1.0 dB, which significantly improves the reliability and applicability of low-cost equipment in engineering applications. In addition, the study reveals the inherent mechanism of differential amplification of system errors in the propagating wave and evanescent wave channels. It provides quantitative thresholds and operational guidance for instrument selection, array calibration, and error compensation of NAH technology in building sound insulation detection.https://www.mdpi.com/2075-5309/15/15/2619systematical errornear-field acoustic holographysound insulation measurement accuracynormal sound intensitysound insulationsound image |
| spellingShingle | Wei Xiong Wuying Chen Zhixin Li Heyu Zhu Xueqiang Wang Effect of Systematic Errors on Building Component Sound Insulation Measurements Using Near-Field Acoustic Holography Buildings systematical error near-field acoustic holography sound insulation measurement accuracy normal sound intensity sound insulation sound image |
| title | Effect of Systematic Errors on Building Component Sound Insulation Measurements Using Near-Field Acoustic Holography |
| title_full | Effect of Systematic Errors on Building Component Sound Insulation Measurements Using Near-Field Acoustic Holography |
| title_fullStr | Effect of Systematic Errors on Building Component Sound Insulation Measurements Using Near-Field Acoustic Holography |
| title_full_unstemmed | Effect of Systematic Errors on Building Component Sound Insulation Measurements Using Near-Field Acoustic Holography |
| title_short | Effect of Systematic Errors on Building Component Sound Insulation Measurements Using Near-Field Acoustic Holography |
| title_sort | effect of systematic errors on building component sound insulation measurements using near field acoustic holography |
| topic | systematical error near-field acoustic holography sound insulation measurement accuracy normal sound intensity sound insulation sound image |
| url | https://www.mdpi.com/2075-5309/15/15/2619 |
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