Assessing the strength of deep-sea surface ultrasoft sediments with T-bar penetration: A machine learning approach-Reference-Cited by-同舟云学术

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Assessing the strength of deep-sea surface ultrasoft sediments with T-bar penetration: A machine learning approach

Published:2024-08 Issue: Volume:338 Page:107632
ISSN:0013-7952
Container-title:Engineering Geology
language:en
Short-container-title:Engineering Geology

Author:

Guo Xingsen,Meng Xiangshuai,Han Fei,Zhang Hong,Liu Xiaolei

Publisher

Elsevier BV

Reference76 articles.

1. Elastic modulus estimation of weak rock samples using random forest technique;Abdi;Bull. Eng. Geol. Environ.,2023

2. Strain-rate dependence of strength of the Gulf of Mexico soft sediments;Abelev;IEEE J. Ocean. Eng.,2012

3. The suitability of seas and shores for building submarine power interconnections;Ardelean;Renew. Sust. Energ. Rev.,2023

4. Should Pearson’s correlation coefficient be avoided?;Armstrong;Ophthalmic Physiol. Opt.,2019

5. Effect of rate-dependent soil strength on cylinders penetrating into soft clay;Aubeny;IEEE J. Ocean. Eng.,2007

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