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2024 | OriginalPaper | Chapter

6. Borehole Radar Detection Method

Authors : Liu Liu, Zhenming Shi, Ming Peng, Shaojun Li

Published in: Detection of Karst Voids at Deep Pile Foundation

Publisher: Springer Nature Singapore

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Abstract

Chapter 6 introduces further detection of karst voids using single borehole radar technology.

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previous chapter Inversion of Borehole Sonic Detection
next chapter Pile Hole Sonar Detection Equipment
Literature
Alperovich L, Eppelbaum L, Zheludev V et al. (2013) A new combined wavelet methodology applied to GPR and ERT data in the Montagnole experiment (French Alps). J Geophys Eng 10(2):025017, 1–17
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Li Y, L S, Liu B et al. (2017) Forward simulation and complex signal analysis of borehole radar detection for underground adverse geological bodies. Rock and Soil Mech 38(1):300–308
Liu B, Zhang F, Li S et al (2019) Full waveform inversion based on inequality constraint for cross-hole radar. J Appl Geophys 162:118–127CrossRef
Ma C, Zhao Q, Ran L et al (2014) Numerical study of borehole radar for cliff imaging. J Environ Eng Geophys 19(4):269–276CrossRef
Ma C, Zhao Q, Wang L et al (2015) Modeling borehole radar by finite-difference time-domain in conductive sandstone. J Environ Eng Geophys 20(1):19–29CrossRef
Qin H, Vrugt J, Xie X et al (2018) Improved characterization of underground structure defects from two-stage Bayesian inversion using crosshole GPR data. Autom Constr 95:233–244CrossRef
Taner M, Koehler F, Sheriff R (1979) Complex seismic trace analysis. Geophysics 44(6):1041–1063CrossRef
Zhong S, Wang C, Wu L et al (2011) Borehole radar response characteristics of point unfavorable geo-bodies: forward simulation on its geometric effect. Rock and Soil Mech 32(5):1583–1588
Zhong S, Wang C, Wu L et al (2012) Borehole radar response characteristics of point unfavorable geo-bodies: Forward simulation of its surrounding rock and filling condition. Rock and Soil Mech 33(4):1191–1195
Metadata
Title
Borehole Radar Detection Method
Authors
Liu Liu
Zhenming Shi
Ming Peng
Shaojun Li
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Detection of Karst Voids at Deep Pile Foundation

Print ISBN: 978-981-9758-33-3

Electronic ISBN: 978-981-9758-34-0

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-97-5834-0_6