... machine learning reduction drag reduction technology mesh reduction effect drag reduction effect resistance reduction technology united states government freight & logistics services calculation ship model simulation accuracy resistance calculation result equation reduction technology...

...). upstream oil & gas accuracy ship hull marine transportation artificial intelligence convolutional neural network convolutional layer ship model neural network subdivision cnn engineering transaction offset feature recognition functionality exploration deep learning machine learning...

... of the optimized ship is calculated by the CFD method, and the ship resistance prediction model is established based on the BP neural network. This study verifies the feasibility of the optimization method and the accuracy of using BP neural network to predict ship resistance. KEY WORDS: Bow lines optimization...

... seawall equation fse modeling & simulation engineering accuracy upstream oil & gas sensor grid resolution recurve wave impact wg 5 grigoriadis parapet interaction reservoir simulation experiment timeframe navier-stoke equation interface wave period ABSTRACT...

... that are generated by the JONSWAP spectrum with significant wave height and peak spectral wave period taken from the North Sea wave data. The selected wave steepness varies from 0.01, 0.017 to 0.038, which covers mild to steep waves. Linear Wave Theory (LWT) could provide reasonable accuracy for mild wave conditions...

... dynamics. In a real marine environment, it is relatively difficult to simulate irregular waves. Many researchers prefer to write their desired irregular waves in open-source numerical simulation software, but writing them by themselves requires complex derivation of formulas. In addition, the poor accuracy...

... for wave prediction appear to have been based on the Fourier transform. Since the Fourier transform is not a time-developing process, the impulse response function may contribute significantly to the accuracy of the water waves prediction. By defining an adequate causal region with the impulse response...

... exploration system for archaeological relics exploration is proposed and the development of the vehicle including a motion controller is discussed. The vehicle is towed near the sea bottom to improve the accuracy of the measurement using a sonic prospector. The performance of the towed system and its motion...

... is ignored and beam long-crested wave conditions are adopted. In this paper, the influence of damping and degrees-of-freedom on ship motion and acceleration are analyzed by potential flow theory. The accuracy of ship lateral acceleration prediction under different numerical models are compared...

... coordinate system and the finite difference method is used to discretize the N-S equation in space. A compact CIP method (constrained interpolation method) with third-order accuracy is used to solve the convective term, which can restrain the numerical dissipation effectively. By introducing the CIP...

... not meet the accuracy requirements, or forced assembly, etc. This problem may reduce the ship's propulsion efficiency and affect the quality, and also cause safety issues probably. It can even lead to the failure of the entire product project. At the same time, if the manufacturing and installation...

... were all considered. The frequency dependent mechanical parameters were identified from experimental curves. Then, the equivalent FEM model of the vibration isolating system was built layer-by-layer. Results suggested that the impedance of each layer could be simulated with high accuracy. On this basis...

... the optimum trim angle was evaluated by the metrics, and the algorithm that gives the highest accuracy was used to construct a predictive model on the optimum trim. Finally, the features about the bulk carrier from the testing data set were selected as the input to the predictive model, and the predicted...

... neural network optimization hyperparameter artificial intelligence marine transportation deep learning optimization problem control point accuracy mlp approximation model total resistance coefficient mlp model optimization algorithm optimal solution approximation model approximate...

... with pictures of ship vibration mode, the VGG model is built to acquire features of the model. Meanwhile, automatic screenshots of the modal analysis results in Patran are captured and sent to the recognition program. Derived from multiple sets of test cases, the results show that mode recognition accuracy...

..., the accuracy of the prediction model is verified. Further, the effect of prediction time length and input error on the predicted results are analyzed. It is found that with the increase of prediction time length, the deviation between predicted results and actual values also increases. There is an obvious...

..., the extensive experimental data (Nakonechny, 1961; Dickerson and Dobay, 1970.) show that Taniguchi's method is inaccurate under a large eccentricity. Zhu (1982) considered the influence of blade trajectory curve and blade rotation on induced velocity, which greatly improved the accuracy of calculation results...

... in time and predict some faults in advance. Further, the fault feature recognition accuracy is effectively improved by data preprocessing and algorithm optimization, thereby providing reference and basis for reliability analysis and risk prediction of the equipment s whole life cycle. KEY WORDS...

... ABSTRACT The real time forecasting of wave features is very important to the ocean operations. The traditional way for forecasting wave height is based on physical process, it needs a lot of fundamental data to establish the model, which is the biggest obstacle to the model's accuracy...

... foundation underwater cutting and the relative height difference requirements of the four steel piles. The final cutting accuracy reached a single pile level ≤1%, the relative elevation of the four steel piles was <50mm, and the level of the new jacket after installation was 0.96‰. INTRODUCTION During...