Technical Papers
Oct 25, 2022

A New Method for 3D Detection of Defects in Diaphragm Walls during Deep Excavations Using Cross-Hole Sonic Logging and Ground-Penetrating Radar

Publication: Journal of Performance of Constructed Facilities
Volume 37, Issue 1

Abstract

With the development of deep underground space, there is an ever-growing demand for the excavation of deep foundations in the urban zone. The diaphragm wall is the most commonly used retaining and waterproof structure. Therefore, the quality of the diaphragm wall plays an essential role in the environmental impact and security risk control of deep foundation excavation. Consequently, it is required to develop practical ways to detect defects in diaphragm walls. It is critical to localize defects before excavation and characterize them in detail for proper countermeasures. Unfortunately, up to now, the traditional detection methods are not yet available for professional use. This paper presents a contribution to filling this gap based on cross-hole sonic logging (CSL) and ground-penetrating radar (GPR). First, CSL is carried out prior to excavation through detection tubes preinstalled in the wall. Second, Bayesian inversion is used to obtain a high-quality two-dimensional (2D) visualization of the defects, and the depth and width can be obtained before excavation. Third, GPR is applied to precise detection when excavating to the depth of the defect. Finally, by employing an advanced bifrequency back-projection method, the correlation between two domain frequency radar data is used to obtain the three-dimensional (3D) characteristics of the defects. The proposed method was used at a 40-m level of deep excavation in Shanghai, China, and allowed engineers to determine the location and 3D characteristics of defects. An identified analysis of the defects with this method showed a reasonably good match with manual observation after excavation.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by the National Key R&D Program of China under grants 2019YFC0605100 and 2019YFC0605103; National Natural Science Funds of China under grants 52038008, 4210071391 and 42107216; Shanghai Major Science and Technology Special Project (Grant No. 2017SHZDZX02); the Project of Science and Technology Program of Department of Transport under Grant No. 2021014; the Key Science and Technology Projects in Transportation Industry by Ministry of Transport of the People’s Republic of China in 2021 under Grant No. 2021-MS2-061; and the Independent Scientific Research Project of Zhejiang Scientific Research Institute of Transport under Grant No. ZK202205. The authors gratefully acknowledge their financial support. The authors are grateful to the reviewers for their valuable comments.

References

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 37Issue 1February 2023

History

Received: Feb 2, 2022
Accepted: Jul 26, 2022
Published online: Oct 25, 2022
Published in print: Feb 1, 2023
Discussion open until: Mar 25, 2023

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Junli Zhai, Ph.D. [email protected]
Engineer, Zhejiang Scientific Research Institute of Transport; Key Laboratory of Road and Bridge Detection and Maintenance Technology of Zhejiang Province, Dalongjuwu Rd. No. 705, Hangzhou, Zhejiang 310023, China. Email: [email protected]
Qiang Wang, Ph.D. [email protected]
Senior Engineer, Zhejiang Scientific Research Institute of Transport; Key Laboratory of Road and Bridge Detection and Maintenance Technology of Zhejiang Province, Dalongjuwu Rd. No. 705, Hangzhou, Zhejiang 310023, China. Email: [email protected]
Xiongyao Xie, Ph.D. [email protected]
Professor, Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Dept. of Geotechnical Engineering, Tongji Univ., Siping Rd. No. 1239, Shanghai 200092, China (corresponding author). Email: [email protected]
Associate Professor, School of Civil Engineering, Dalian Univ. of Technology, Lingong Rd. No. 2, Dalian, Liaoning 116081, China. ORCID: https://orcid.org/0000-0003-4127-8765. Email: [email protected]
Senior Engineer, Shanghai Huangpu River Bridge Construction Co., Ltd., Ningguo Rd. No. 41, Shanghai 200090, China. Email: [email protected]
Engineer, Shanghai Huangpu River Bridge Construction Co., Ltd., Ningguo Rd. No. 41, Shanghai 200090, China. Email: [email protected]
Senior Engineer, Shanghai Huangpu River Bridge Construction Co., Ltd., Ningguo Rd. No. 41, Shanghai 200090, China. Email: [email protected]

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