To address the heading control problem of Autonomous Underwater Vehicles (AUVs), a PID control parameter optimization method is proposed, which integrates Tabu Search and an improved Particle Swarm Optimization (TPSO)...
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The current work investigates a cavity resonant-type floating breakwater (FB). Therefore, the Helmholtz resonator principle was adopted to reduce the intensity of long-period waves effectively. The configuration of th...
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A numerical simulation technique with CFD-DEM coupling is used to simulate a full-scale KCS model sailing in the pancake ice region. Based on the actual polar information, the Stokes fifth-order wave model is selected...
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This paper focuses on the multi-module connected offshore floating photovoltaic system, designing a mooring system with buoys, considering the effects of buoy size, position on the motion response of the photovoltaic ...
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Reducing the number of anchor points and moorings for floating platforms is one of the ways to reduce the integration and maintenance costs of floating offshore wind and solar farms. This paper focuses on the technica...
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Very short-term prediction of ship motion is critically important in many scenarios such as carrier aircraft landings and marine engineering *** paper introduces the newly developed functional deep learning model,name...
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Very short-term prediction of ship motion is critically important in many scenarios such as carrier aircraft landings and marine engineering *** paper introduces the newly developed functional deep learning model,named as Deep Operator networks neural network(DeepOnet)to predict very short-term ship motion in *** takes wave height as input and predicts ship motion as output,employing a cause-to-effect prediction *** modeling data for this study is derived from publicly available experimental data at the Iowa Institute of Hydraulic ***,the tuning of the hyperparameters within the neural network system was conducted to identify the optimal parameter ***,the DeepOnet model for wave height and multi-degree-of-freedom motion was established,and the impact of increasing time steps on prediction accuracy was ***,a comparative analysis was performed between the DeepOnet model and the classical time series model,long short-term memory(LSTM).It was observed that the DeepOnet model exhibited a tenfold improvement in accuracy for roll and heave ***,as the forecast duration increased,the advantage of the DeepOnet model showed a trend of *** a functional prediction model,DeepOnet offers a novel and promising tool for very short-term ship motion prediction.
Based on smoothed particle hydrodynamics and reproducing kernel particle method, this paper establishes a fluid-structure interaction three-dimensional calculation model for the dynamic response of complex structures ...
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YOLOv7-tiny, as a lightweight variant of YOLOv7, boasts advantages of fast runtime and fewer parameters. However, when directly applied to infrared object detection, YOLOv7-tiny still faces challenges such as weak ext...
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In this paper, a steel stiffened plate is used as the research object and its blast response under the action of air blast load is simulated and studied. Assuming that the deformation mode of the dynamic response of t...
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In order to study the buoyancy-driven rising bubbles in liquids in various types of problems such as oil pipeline transportation, combustible ice mining, ship drag reduction, and the use of bubbles to deliver drugs in...
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