Prediction of tension leg platform motion responses under extreme conditions based on physics-informed deep learning and uncertainty quantification

Key Points

• The method predicts motion responses accurately under extreme conditions—showing over 90% prediction reliability.
• Utilizing a physics-informed deep learning approach, uncertainty quantification is key to assessing prediction confidence.
• Analysis across various simulations revealed how specific extreme conditions impact tension leg platform behavior.
• This highlights the need for improved predictive tools to ensure the safety and efficacy of marine platform designs.