Application of artificial intelligence hybrid models in safety assessment of submarine pipelines: Principles and methods DOI

Shenwen Zhang,

Anmin Zhang,

P P Chen

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 312, P. 119203 - 119203

Published: Sept. 12, 2024

Language: Английский

Stochastic Analysis of Safety Factors for Buried Box Pipelines in Spatially Random Clay DOI

Khamnoy Kounlavong,

Jim Shiau,

Kongtawan Sangjinda

et al.

Geotechnical and Geological Engineering, Journal Year: 2025, Volume and Issue: 43(2)

Published: Feb. 1, 2025

Language: Английский

Citations

1
Novel hybrid XGBoost-based soft computing models for predicting penetration resistance of buried pipelines in cohesive soils DOI

Khamnoy Kounlavong,

Laith Sadik, Suraparb Keawsawasvong

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 311, P. 118948 - 118948

Published: Aug. 13, 2024

Language: Английский

Citations

3
Regression Machine Learning Models for Probabilistic Stability Assessment of Buried Pipelines in Spatially Random Clays DOI

Bounhome Chansavang,

Khamnoy Kounlavong,

Divesh Ranjan Kumar

et al.

Arabian Journal for Science and Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 7, 2024

Language: Английский

Citations

2
Application of artificial intelligence hybrid models in safety assessment of submarine pipelines: Principles and methods DOI

Shenwen Zhang,

Anmin Zhang,

P P Chen

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 312, P. 119203 - 119203

Published: Sept. 12, 2024

Language: Английский

Citations

1