An optimal statistical regression model for predicting wave-induced equilibrium scour depth in sandy and silty seabeds beneath pipelines-Reference-Cited by-同舟云学术

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An optimal statistical regression model for predicting wave-induced equilibrium scour depth in sandy and silty seabeds beneath pipelines

Published:2022-08 Issue: Volume:258 Page:111709
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Zhang Yaqi,Wu Jinran^ORCID,Zhang Shaotong,Li Guangxue,Jeng Dong-Sheng^ORCID,Xu Jishang^ORCID,Tian Zhuangcai,Xu Xingyu

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference47 articles.

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2. Hodges-Lehmann quantile-quantile plots;Aly;Comput. Stat. Data Anal.,1988

3. Robust estimation procedure for autoregressive models with heterogeneity;Callens;Environ. Model. Assess.,2020

4. Scour under submarine pipelines in waves in shoaling conditions;Çevik;Journal of Waterway, Port, Coastal, and Ocean Engineering, ASCE,1999

5. Length scale for evaluating wave-induced pipeline scour;Cheng;Ocean. Eng.,2020

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1. Application of a Statistical Regression Technique for Dynamic Analysis of Submarine Pipelines;Journal of Marine Science and Engineering;2024-06-06

2. Numerical study on local scour characteristics around submarine pipelines in the Yellow River Delta silty sandy soil under waves and currents;Deep Underground Science and Engineering;2024-02-19

3. Erosion mechanism for submarine pipeline on graded sediments using a coupled PORO-CFD-DEM model;Computers and Geotechnics;2023-10

4. Seabed sediments classification based on side-scan sonar images using dimension-invariant residual network;Applied Ocean Research;2023-01

5. Microstructure properties of soft soils under marine, interactive marine, and river-lake facies sedimentary environments;Applied Ocean Research;2023-01

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