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Prediction on the Penetration Resistance of Mono-Bucket Foundations in Silty Soil

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Advanced Tunneling Techniques and Information Modeling of Underground Infrastructure (GeoChina 2021)

Part of the book series: Sustainable Civil Infrastructures ((SUCI))

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Abstract

Hybrid mono-bucket foundations with ballast and skirt are employed to support offshore wind turbines (OWTs) in East China, with the advantages in capacity and efficient installation. The prediction of soil resistance during the penetration is critical in the design of mono-buckets, but few studies focused on the installation in silty soil. Two methods on predicting the penetration resistance are introduced based on soil parameters and in-situ CPT results, respectively. A modification on the friction angle of silty soil is made to account for the effect of the cohesion on the skirt-soil interface. A comparison is then carried out between the prediction results and prototype installation data to verify the methods and calibrate the coefficients in the equations. The back-analysis according to the field installation data shows that the accuracy of the first method is improved by the modification, and the second method based on the in-situ CPT data has a higher reliability with reasonable coefficients.

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Acknowledgement

The authors are grateful to the support from Zhejiang Provincial Natural Science Foundation of China (LQ19E090002 and LQ20E090001) and Postdoctoral Science Foundation of China (2018M642383). Discussion with Knut H. Andersen and other colleagues from Norwegian Geotechnical Institute (NGI), field work from Jiangsu Daoda Engineering and the help from Tianjin University and Zhejiang University are also highly appreciated.

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Shen, K., Li, T., Wang, K., Wang, B., Yu, J., Shan, Z. (2021). Prediction on the Penetration Resistance of Mono-Bucket Foundations in Silty Soil. In: Yang, J.J., Cheng, WC., Wang, S. (eds) Advanced Tunneling Techniques and Information Modeling of Underground Infrastructure. GeoChina 2021. Sustainable Civil Infrastructures. Springer, Cham. https://doi.org/10.1007/978-3-030-79672-3_5

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