Quantitative Identification Method for Concrete Wall Cavities Based on Autocorrelation Analysis of Sound Signals.

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Bibliographic Details
Title: Quantitative Identification Method for Concrete Wall Cavities Based on Autocorrelation Analysis of Sound Signals.
Authors: Xin, Sitong1, Zhao, Fang1, Zhang, Shouqi1, Zhang, Wenlong1, wenlong0523@163.com
Source: Buildings (2075-5309); Jun2026, Vol. 16 Issue 11, p2085, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194780394
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  Label: Title
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  Data: Quantitative Identification Method for Concrete Wall Cavities Based on Autocorrelation Analysis of Sound Signals.
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  Data: <searchLink fieldCode="AU" term="%22Xin%2C+Sitong%22">Xin, Sitong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Fang%22">Zhao, Fang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Shouqi%22">Zhang, Shouqi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Wenlong%22">Zhang, Wenlong</searchLink><relatesTo>1</relatesTo>, <i>wenlong0523@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Buildings+%282075-5309%29%22">Buildings (2075-5309)</searchLink>; Jun2026, Vol. 16 Issue 11, p2085, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194780394
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/buildings16112085
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 19
        StartPage: 2085
    Titles:
      – TitleFull: Quantitative Identification Method for Concrete Wall Cavities Based on Autocorrelation Analysis of Sound Signals.
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          Name:
            NameFull: Xin, Sitong
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            NameFull: Zhao, Fang
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            NameFull: Zhang, Shouqi
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            NameFull: Zhang, Wenlong
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 16
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              Value: 11
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