AUTHOR=Du Xing , Song Yupeng , Wang Dong , He Kunpeng , Chi Wanqing , Xiu Zongxiang , Zhao Xiaolong 

TITLE=Comparative evaluation of machine learning models for assessment of seabed liquefaction using finite element data

JOURNAL=Frontiers in Marine Science

VOLUME=Volume 11 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2024.1491899

DOI=10.3389/fmars.2024.1491899

ISSN=2296-7745

ABSTRACT=Predicting wave-induced liquefaction around submarine pipelines is crucial for marine engineering safety. However, the complex of interactions between ocean dynamics and seabed sediments makes rapid and accurate assessments challenging with traditional numerical methods.Although machine learning approaches are increasingly applied to wave-induced liquefaction problems, the comparative accuracy of different models remains under-explored. We evaluate the predictive accuracy of four classical machine learning models: Gradient Boosting (GB), Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), and Random Forest (RF). The results indicate that the GB model exhibits high stability and accuracy in predicting wave-induced liquefaction, due to its strong ability to handle complex nonlinear geological data. Prediction accuracy varies across output parameters, with higher accuracy for seabed predictions than for pipeline surroundings. The combination of different input parameters significantly influences model predictive accuracy. Compared to traditional finite element numerical methods, employing machine learning models significantly reduces computation time, offering an effective tool for rapid disaster assessment and early warning in marine engineering. This research contributes to the safety of marine pipeline protections and provides new insights into the intersection of marine geological engineering and artificial intelligence.With the continuous expansion of offshore resource exploration, ensuring the stability of submarine pipelines under extreme geological conditions becomes crucial. One significant challenge is the liquefaction of seabed sediments under wave action, which can jeopardize the stability and safety of these pipelines. Therefore, it is of great significance to investigate the liquefaction of sediments around submarine pipelines under wave action and make accurate predictions for the safety of offshore engineering and oil and gas development.The stability of submarine pipelines is influenced by various complex factors, including seabed scouring, wave actions, and seismic activities. Scholars have extensively explored the processes and mechanisms of seabed scouring near submarine pipelines affected by waves and currents, employing diverse research methodologies ranging from analytical solutions to numerical calculations and laboratory wave flume tests (