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  <titleInfo>
    <title>Detection of Karst Voids at Deep Pile Foundation</title>
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    <namePart>Liu, Liu.</namePart>
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    <namePart>Shi, Zhenming.</namePart>
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    <namePart>Peng, Ming.</namePart>
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    <namePart>Li, Shaojun.</namePart>
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    <namePart>Tao, Fengjuan.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>VII, 226 p. 147 illus., 118 illus. in color. online resource.</extent>
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  <abstract>Karst voids at pile locations can have a significant negative impact on the bearing capacity and overall safety of cast-in-place pile foundations. This book introduces a state-of-the-art detection system, comprising of specialized equipment, algorithms, and software, designed to identify karst voids during deep cast-in-place pile foundation construction. The system includes a unique multifrequency borehole sonic probe, a single borehole radar, two pile hole sonar probes, and a corresponding signal analysis method. Several field and synthetic tests have been conducted to detect karst voids during cast-in-place pile foundation construction, and the results demonstrate that this technology can offer detailed geological information for pile design and ensure the safety of foundation construction. The work presented in this book has received the First Prize for Technological Invention in Shanghai, China in 2022.</abstract>
  <tableOfContents>Introduction -- Overall strategy -- Borehole Sonic Detection Equipment -- Borehole Sonic Detection Analysis Method -- Inversion of Borehole Sonic Detection -- Borehole radar detection method -- Pile hole sonar detection equipment -- Pile hole sonar detection analysis method -- Advanced Pile hole sonar detection system -- Complete application -- Conclusion and further research suggestion.</tableOfContents>
  <note type="statement of responsibility">by Liu Liu, Zhenming Shi, Ming Peng, Shaojun Li, Fengjuan Tao.</note>
  <subject authority="lcsh">
    <topic>Engineering geology</topic>
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  <subject authority="lcsh">
    <topic>Computer-aided engineering</topic>
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  <subject authority="lcsh">
    <topic>Geotechnical engineering</topic>
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  <subject>
    <topic>Geoengineering</topic>
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  <subject>
    <topic>Computer-Aided Engineering (CAD, CAE) and Design</topic>
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  <subject>
    <topic>Geotechnical Engineering and Applied Earth Sciences</topic>
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  <identifier type="isbn">9789819758340</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-5834-0</identifier>
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