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A Random Forest Model for the Prediction of Spudcan Penetration Resistance in Stiff-Over-Soft Clays Cover

A Random Forest Model for the Prediction of Spudcan Penetration Resistance in Stiff-Over-Soft Clays

Polish Maritime Research
Volume 27 (2020): Issue 4 (December 2020)
By: Pan Gao,  Zhihui Liu,  Ji Zeng,  Yiting Zhan and  Fei Wang  
Open Access
|Dec 2020

Authors

Pan Gao

pgao@shmtu.edu.cn

College of Ocean Science and Engineering, Shanghai Maritime University, China

Zhihui Liu

201830410003@stu.shmtu.edu.cn

College of Ocean Science and Engineering, Shanghai Maritime University, China

Ji Zeng

zengji@shmtu.edu.cn

College of Ocean Science and Engineering, Shanghai Maritime University, China

Yiting Zhan

ytzhan@shmtu.edu.cn

College of Ocean Science and Engineering, Shanghai Maritime University, China

Fei Wang

wangfeii7@cosl.com.cn

China Oilfield Services Limited, China
DOI: https://doi.org/10.2478/pomr-2020-0073 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 130 - 138
Published on: Dec 24, 2020
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Machine learning,
Random forest,
Jack-up,
Penetration resistance,
Stiff-over-soft clays
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Geosciences,
Atmospheric science and climatology,
Life sciences,
Life sciences, other

© 2020 Pan Gao, Zhihui Liu, Ji Zeng, Yiting Zhan, Fei Wang, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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