Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar

Hongyan Shen (), Xinsheng Li, Ruifeng Duan (), Yong Zhao, Jing Zhao, Han Che, Guoxin Liu, Zhijia Xue, Changgen Yan, Jiwei Liu, Chao Jiang, Boke Li, Hong Chang, Jianqiang Gao and Yueying Yan ()
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Hongyan Shen: Xi′an Shiyou University
Xinsheng Li: Shaanxi Geo-mining Geophysical and Geochemical Exploration Team Co. Ltd.
Ruifeng Duan: Shaanxi Geo-mining Geophysical and Geochemical Exploration Team Co. Ltd.
Yong Zhao: Shaanxi Land Construction Group
Jing Zhao: Xi′an Shiyou University
Han Che: Xi′an Shiyou University
Guoxin Liu: Xi′an Shiyou University
Zhijia Xue: Chang′an University
Changgen Yan: Chang′an University
Jiwei Liu: Chang′an University
Chao Jiang: Gansu Luqiao Highway Investment Co., Ltd.
Boke Li: Shaanxi Geo-mining Geophysical and Geochemical Exploration Team Co. Ltd.
Hong Chang: Shaanxi Geo-mining Geophysical and Geochemical Exploration Team Co. Ltd.
Jianqiang Gao: Chang′an University
Yueying Yan: Xi′an Shiyou University

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract Deep cement mixing piles are a key technology for treating settlement distress of soft soil subgrade. However, it is very challenging to accurately evaluate the quality of pile construction due to the limitations of pile material, large number of piles and small pile spacing. Here, we propose the idea of transforming defect detection of piles into quality evaluation of ground improvement. Geological models of pile group reinforced subgrade are constructed and their ground-penetrating radar response characteristics are revealed. We have also developed ground-penetrating radar attribute analysis technology and established ground-penetrating radar technical system for evaluating the quality of ground improvement. We further prove that the ground-penetrating radar results integrating single-channel waveform, multi-channel section and attributes can effectively detect the defects and stratum structure after ground improvement. Our research results provide a rapid, efficient and economic technical solution for the quality evaluation of ground improvement in soft soil subgrade reinforcement engineering.

Date: 2023
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DOI: 10.1038/s41467-023-39236-4

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