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Volume 11
Issue 23
10.3390/app112311264
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Article

Estimating CPT Parameters at Unsampled Locations Based on Kriging Interpolation Method

by
Jinhao Liu
1,2,
Jinming Liu
3,
Zhongwei Li
1,2,
Xiaoyu Hou
1,2 and
Guoliang Dai
1,2,*
1
Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Nanjing 211189, China
2
School of Civil Engineering, Southeast University, Nanjing 211189, China
3
Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei 230026, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(23), 11264; https://doi.org/10.3390/app112311264
Submission received: 7 October 2021 / Revised: 7 November 2021 / Accepted: 11 November 2021 / Published: 29 November 2021
(This article belongs to the Special Issue Recent Progress on Advanced Foundation Engineering)
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Abstract

The cone penetrometer test (CPT) has been widely used in geotechnical investigations. However, how to use the limited CPT data to reasonably predict the soil parameters of the unsampled regions remains a challenge. In the present study, we adopted the Kriging method to obtain the CPT data of an unsampled location in Adelaide, South Australia, based on the collected CPT data from six soundings around this location. Interpolation results showed that the trend of the estimated parameters is consistent with the trend of parameters of the surrounding points. From the Kriging interpolation result, we further carried out axial bearing capacity calculation of a precast concrete pile using the CPT-based direct method to verify the reliability of the method. The calculated bearing capacity of the pile is 99.6 kN which is very close to the true value of 102.8 kN. Our results demonstrated the effectiveness of the Kriging method in considering the soil spatial variability and predicting soil parameters, which is quite suitable for the application in engineering practice.
Keywords: CPT; Kriging interpolation method; spatial variability; pile axial bearing capacity CPT; Kriging interpolation method; spatial variability; pile axial bearing capacity

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MDPI and ACS Style

Liu, J.; Liu, J.; Li, Z.; Hou, X.; Dai, G. Estimating CPT Parameters at Unsampled Locations Based on Kriging Interpolation Method. Appl. Sci. 2021, 11, 11264. https://doi.org/10.3390/app112311264

AMA Style

Liu J, Liu J, Li Z, Hou X, Dai G. Estimating CPT Parameters at Unsampled Locations Based on Kriging Interpolation Method. Applied Sciences. 2021; 11(23):11264. https://doi.org/10.3390/app112311264

Chicago/Turabian Style

Liu, Jinhao, Jinming Liu, Zhongwei Li, Xiaoyu Hou, and Guoliang Dai. 2021. "Estimating CPT Parameters at Unsampled Locations Based on Kriging Interpolation Method" Applied Sciences 11, no. 23: 11264. https://doi.org/10.3390/app112311264

APA Style

Liu, J., Liu, J., Li, Z., Hou, X., & Dai, G. (2021). Estimating CPT Parameters at Unsampled Locations Based on Kriging Interpolation Method. Applied Sciences, 11(23), 11264. https://doi.org/10.3390/app112311264

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