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On the Performance of a Data-Driven Backward Compatible Physics-Informed Neural Network for Prediction of Flow Past a Cylinder
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper discusses a physics-informed surrogate model aimed at reconstructing the flow field from sparse datasets under a limited computational budget. A benchmark problem of 2D unsteady laminar flow past a cylinder is ...
Estimation of Short-and Long-Term Probability Distributions of Wave-Induced Loads Acting on a Cruise Vessel in Extreme Seas
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A time domain code based on strip theory is applied to calculate the probability distributions of relative motions and bending moments of a cruise ship in a set of extreme seas. The code includes two levels of complexity. ...
Toward a Ship Simulator Using Advanced Multisensor Fusion for Maritime Navigation and Environmental Awareness
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Accurate environmental sensing is essential for maritime applications, particularly in vessel tracking and obstacle avoidance within dynamic ocean environments. Existing maritime vision datasets (e.g., SeaShips, ...
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