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Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar
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 id...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257722/ https://www.ncbi.nlm.nih.gov/pubmed/37301886 http://dx.doi.org/10.1038/s41467-023-39236-4 |
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author | Shen, Hongyan Li, Xinsheng Duan, Ruifeng Zhao, Yong Zhao, Jing Che, Han Liu, Guoxin Xue, Zhijia Yan, Changgen Liu, Jiwei Jiang, Chao Li, Boke Chang, Hong Gao, Jianqiang Yan, Yueying |
author_facet | Shen, Hongyan Li, Xinsheng Duan, Ruifeng Zhao, Yong Zhao, Jing Che, Han Liu, Guoxin Xue, Zhijia Yan, Changgen Liu, Jiwei Jiang, Chao Li, Boke Chang, Hong Gao, Jianqiang Yan, Yueying |
author_sort | Shen, Hongyan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10257722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102577222023-06-12 Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar Shen, Hongyan Li, Xinsheng Duan, Ruifeng Zhao, Yong Zhao, Jing Che, Han Liu, Guoxin Xue, Zhijia Yan, Changgen Liu, Jiwei Jiang, Chao Li, Boke Chang, Hong Gao, Jianqiang Yan, Yueying Nat Commun Article 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. Nature Publishing Group UK 2023-06-10 /pmc/articles/PMC10257722/ /pubmed/37301886 http://dx.doi.org/10.1038/s41467-023-39236-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shen, Hongyan Li, Xinsheng Duan, Ruifeng Zhao, Yong Zhao, Jing Che, Han Liu, Guoxin Xue, Zhijia Yan, Changgen Liu, Jiwei Jiang, Chao Li, Boke Chang, Hong Gao, Jianqiang Yan, Yueying Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar |
title | Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar |
title_full | Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar |
title_fullStr | Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar |
title_full_unstemmed | Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar |
title_short | Quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar |
title_sort | quality evaluation of ground improvement by deep cement mixing piles via ground-penetrating radar |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257722/ https://www.ncbi.nlm.nih.gov/pubmed/37301886 http://dx.doi.org/10.1038/s41467-023-39236-4 |
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