... of such pipelines is their resistance against hydrostatic pressure, especially during installation. Previous studies by the authors culminated in an improved method for predicting the collapse pressure. The authors compared their analytical results with the outcome of finite-element analyses. In this paper...

... able to harvest energy more efficiently than traditional single-DOF devices. As a step towards its optimisation and control, a power prediction model is developed, using the wave elevation and motions of the WEC to predict the power output of each PTO. The results show that using LSTM (Long-Short Term...

...Martin Eriksson; Magnus Nyberg; Michael Andersen; Jesper Tychsen; Jørgen Nielsen _ Nonlinear finite element analysis is a powerful tool for the determination of ultimate capacities of steel components. To produce reliable predictions with high confidence of structural strength, it is of fundamental...

...Xin Li; Ning Ma; Qiqi Shi; Xiechong Gu _ The Power-activation Feed-forward Neural Network (PFN) is used to achieve real-time prediction of the ship’s parametric roll motion. The theoretical rationality of real-time prediction based on the ship’s rolling motion time series data is verified. Sequence...

.... The integrated LSTM model is trained on the discrepancies between nonlinear and linear responses and complementarily introduced with the linear IRF method in the inference stage. The applied hybrid model demonstrates the potential of machine learning for real-time prediction of nonlinear ship motions in waves...

...; httpsdoi.org/10.17736/ijope.2024.su02 httpwww.isope.org/publications Prediction of Unsteady Pressure Distribution in Irregular Waves Using Locally Measured Pressure Data and Convolution Integral Kantaro Suzuki* and Takahito Iida Department of Naval Architecture and Ocean Engineering, Osaka University Osaka...

...Andreas P. Mentzelopoulos; José del Águila Ferrandis; Samuel Rudy; Themistoklis Sapsis; Michael S. Triantafyllou; Dixia Fan _ Semi-empirical models serve as current state-of-the-art prediction technologies for vortex-induced vibrations (VIV). Accurate prediction of the flexible body’s structural...

...Shinichiro Ozaki; Yoshihiko Ide; Masaru Yamashiro; Mitsuyoshi Kodama; Tsuyoshi Kotoura; Noriaki Hashimoto _ Convolutional neural networks (CNNs) have been implemented for the rapid prediction of ocean waves from meteorological data. However, CNNs cannot predict waves at locations other than...

...Jae-Hoon Lee; Jaehak Lee; Yonghwan Kim; Yangjun Ahn _ This paper investigates the possibility of the machine learning technique being applicable in the real-time prediction of wave-induced ship motions. An integrated machine learning model is proposed by considering the two different physical...

... build a model based on sample data, known as training data, to make predictions or decisions without being explicitly programmed to do so. Adytia et al. (2018) used the autoregressive integrated moving average (ARIMA) model to predict the significant wave height obtained from the SWAN numerical model...

...Xiao Lang; Da Wu; Wengang Mao _ This paper proposes a machine learning–based ship speed over a ground prediction model, driven by the eXtreme Gradient Boosting (XGBoost) algorithm. The data set is acquired from a world-sailing chemical tanker with five years of full-scale measurements. The model...

...Qiang Liu; Xingya Feng; Tianning Tang _ In this paper, we propose a least square support vector machine (LSSVM) model to predict ocean wave elevations in a random sea state. The frequency and time domain characteristics of historical wave data were both considered in the proposed model. The wave...

...Siyuan Yu; Wenhua Wu; Arvid Naess Current loads are key environment loads in offshore engineering. In this paper, the empirical orthogonal function (EOF) and the average conditional exceedance rate (ACER) methods are used to develop the extreme prediction of current speed profile with different...

...), are presented. Participants, with a range of numerical methods, simulate blindly the interaction between a fixed structure and focused waves ranging in steepness and direction. Numerical results are compared against corresponding physical data. The predictive capability of each method is assessed based...

... the numerical results. For the industry to benefit from the strengths of these methods, there is a need for a parametric understanding of their predictive capability and a reduction in the time taken to produce useable results. The required time to set up CFD simulations is a factor, often overlooked...

...Peng Wen; Wei Qiu This paper presents improved numerical methods to predict slamming forces/pressures on a wedge with different tilted angles and on a ship section with various drop heights. The water-entry problem was solved by using a constrained interpolation profile (CIP) method on a fixed...

..., predicting the yield strength of the UOE pipe constitutes a difficult task because of the alteration of the material properties throughout the forming process. Moreover, the yield strength is measured by tensile test executed on specimens obtained by flattening samples cut from the formed pipe...

...Torsten Wichtmann; Theodoros Triantafyllidis; Stylianos Chrisopoulos; Hauke Zachert The paper presents three engineer-oriented models based on the high-cycle accumulation (HCA) model of Niemunis et al. (2005), dedicated to the prediction of long-term deformations of offshore wind power plant (OWPP...

.... From a designer's point of view, the need to improve the available methods for efficiency prediction and optimization to achieve better solutions at very preliminary design phases is clear. For example the IMO (2009a, 2009b) introduces technical and economical indexes for emissions regulation, namely...

...Akira Hanaoka; Yasutaka Kawanami; Munehiko Hinatsu The quasi-continuous method (QCM) was applied to open-water thrust and torque predictions of ducted propellers with different positions of the propeller and duct. Two methods to calculate the resultant velocity were discussed. The QCM results...