03587nam a22005655i 4500 978-981-97-5834-0 DE-He213 20251030113322.0 cr nn 008mamaa 241121s2024 si | s |||| 0|eng d 9789819758340 978-981-97-5834-0 10.1007/978-981-97-5834-0 doi TA703-705.4 TNC bicssc TEC009150 bisacsh TNC thema Liu, Liu. author. aut http://id.loc.gov/vocabulary/relators/aut 87843 Detection of Karst Voids at Deep Pile Foundation [electronic resource] / by Liu Liu, Zhenming Shi, Ming Peng, Shaojun Li, Fengjuan Tao. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. VII, 226 p. 147 illus., 118 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. Engineering geology. Computer-aided engineering. 66003 Geotechnical engineering. 66388 Geoengineering. Computer-Aided Engineering (CAD, CAE) and Design. 66004 Geotechnical Engineering and Applied Earth Sciences. 66389 Shi, Zhenming. author. aut http://id.loc.gov/vocabulary/relators/aut 87844 Peng, Ming. author. aut http://id.loc.gov/vocabulary/relators/aut 87845 Li, Shaojun. author. aut http://id.loc.gov/vocabulary/relators/aut 87846 Tao, Fengjuan. author. aut http://id.loc.gov/vocabulary/relators/aut 87847 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819758333 Printed edition: 9789819758357 Printed edition: 9789819758364 https://doi.org/10.1007/978-981-97-5834-0 ZDB-2-ENG ZDB-2-SXE 65110 65110