Accuracy of Non-Destructive Estimation of Length of Soil Nails
The effective length of soil nails is one of the critical parameters ensuring the reinforcing effect, and its accurate estimation is of great significance for the safety of the slope and deep foundation pit supporting projects. Traditional quality insurance methods, such as nail pullout tests, suffe...
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MDPI AG
2023-07-01
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author | Yonghong Wang Jiamin Jin Qijun Zhang Ming Zhang Xiwei Lin Xin Wang Peiyuan Lin |
author_facet | Yonghong Wang Jiamin Jin Qijun Zhang Ming Zhang Xiwei Lin Xin Wang Peiyuan Lin |
author_sort | Yonghong Wang |
collection | DOAJ |
description | The effective length of soil nails is one of the critical parameters ensuring the reinforcing effect, and its accurate estimation is of great significance for the safety of the slope and deep foundation pit supporting projects. Traditional quality insurance methods, such as nail pullout tests, suffer from a series of drawbacks including being destructive, high cost, and time-consuming. In contrast, non-destructive testing (NDT) has been increasingly applied in various engineering fields in the past decades given its advantages of not damaging the material and easy operation. However, the current application of NDT in soil nail length measurement is relatively limited, and its accuracy and reliability are yet to be quantitatively evaluated. This paper introduces three methods for estimating soil nail length based on guided wave theory and collects 116 sets of NDT data for nail length. The accuracy of the NDT in soil nail prediction is statistically analyzed using the model bias method. The results show that those methods can accurately predict the nail length with an average error of less than 3% and a low dispersion of 12%. The accuracy of the NDT methods is not affected by the hammer type or estimation method. Furthermore, this paper proposes a model calibration to the original NDT method, which improves the model’s average accuracy by 3% and reduces dispersion by 4% without increasing computational complexity. Finally, the probability distributions of the model biases are characterized. This study can provide practical tools for fast estimation of in situ nail length, which is of high significance to supporting slopes and deep foundation pits. |
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id | doaj.art-36e1b4740bb94b05b7cb8167b27fa1b7 |
institution | Directory Open Access Journal |
issn | 2075-5309 |
language | English |
last_indexed | 2024-03-11T01:14:25Z |
publishDate | 2023-07-01 |
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spelling | doaj.art-36e1b4740bb94b05b7cb8167b27fa1b72023-11-18T18:37:35ZengMDPI AGBuildings2075-53092023-07-01137169910.3390/buildings13071699Accuracy of Non-Destructive Estimation of Length of Soil NailsYonghong Wang0Jiamin Jin1Qijun Zhang2Ming Zhang3Xiwei Lin4Xin Wang5Peiyuan Lin6School of Civil Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Civil Engineering, Qingdao University of Technology, Qingdao 266520, ChinaQingdao Yegao Construction Engineering Co., Ltd., Qingdao 266520, ChinaSichuan Lutong Detection Technology Co., Ltd., Chengdu 610097, ChinaQingdao Yegao Construction Engineering Co., Ltd., Qingdao 266520, ChinaChina Southwest Geotechnical Investigation & Design Institute Co., Ltd., Chengdu 610052, ChinaSchool of Civil Engineering, Sun Yat-Sen University, Zhuhai 519082, ChinaThe effective length of soil nails is one of the critical parameters ensuring the reinforcing effect, and its accurate estimation is of great significance for the safety of the slope and deep foundation pit supporting projects. Traditional quality insurance methods, such as nail pullout tests, suffer from a series of drawbacks including being destructive, high cost, and time-consuming. In contrast, non-destructive testing (NDT) has been increasingly applied in various engineering fields in the past decades given its advantages of not damaging the material and easy operation. However, the current application of NDT in soil nail length measurement is relatively limited, and its accuracy and reliability are yet to be quantitatively evaluated. This paper introduces three methods for estimating soil nail length based on guided wave theory and collects 116 sets of NDT data for nail length. The accuracy of the NDT in soil nail prediction is statistically analyzed using the model bias method. The results show that those methods can accurately predict the nail length with an average error of less than 3% and a low dispersion of 12%. The accuracy of the NDT methods is not affected by the hammer type or estimation method. Furthermore, this paper proposes a model calibration to the original NDT method, which improves the model’s average accuracy by 3% and reduces dispersion by 4% without increasing computational complexity. Finally, the probability distributions of the model biases are characterized. This study can provide practical tools for fast estimation of in situ nail length, which is of high significance to supporting slopes and deep foundation pits.https://www.mdpi.com/2075-5309/13/7/1699soil nailnon-destructive testing (NDT)accuracy assessmentstatistical analysismodel uncertainty |
spellingShingle | Yonghong Wang Jiamin Jin Qijun Zhang Ming Zhang Xiwei Lin Xin Wang Peiyuan Lin Accuracy of Non-Destructive Estimation of Length of Soil Nails Buildings soil nail non-destructive testing (NDT) accuracy assessment statistical analysis model uncertainty |
title | Accuracy of Non-Destructive Estimation of Length of Soil Nails |
title_full | Accuracy of Non-Destructive Estimation of Length of Soil Nails |
title_fullStr | Accuracy of Non-Destructive Estimation of Length of Soil Nails |
title_full_unstemmed | Accuracy of Non-Destructive Estimation of Length of Soil Nails |
title_short | Accuracy of Non-Destructive Estimation of Length of Soil Nails |
title_sort | accuracy of non destructive estimation of length of soil nails |
topic | soil nail non-destructive testing (NDT) accuracy assessment statistical analysis model uncertainty |
url | https://www.mdpi.com/2075-5309/13/7/1699 |
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