...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...

... 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...

...), 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...

...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...

... found to suffer from unphysical fluctuations in pressure prediction. This is caused by small density errors in calculation, which can be amplified through the equation of state. Some effective treatments have been made to correct the density errors and kernel gradient errors, which significantly...

...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...

... can be readily employed for the simulation of various critical wave events, as described in Jensen (2009), Schellin et al. (2013), Oberhagemann et al. (2012), and Ley et al. (2013). freight & logistics services CFD Simulation prediction random wave Chen marine transportation Simulation...

...Chang Seop Kwon; Oh Joon Kwon; Sung Wook Lee; Hee Taek Kim The purpose of this research is to find practical methods to predict the course stability of towed offshore structures at the initial design stage. The equilibrium yaw angles of a towed Floating Production Storage and Offloading (FPSO...

...) modelling is based on the Unsteady Reynolds-averaged Navier-Stokes (URANS) equations with the use of a hybrid meshing scheme through systematic grid refinement. The obtained CFD predictions were validated through Experimental Fluid Dynamics (EFD) utilising a captive model fitted to a Horizontal Planar...

... the strain-based behavior of pipelines under imposed displacement necessitated the development of full-scale testing facilities and numerical/analytical models for buckling prediction. This paper presents a new analytical formulation for the estimate of pipe strain capacity against buckling. Its development...

... condition on the propeller and turbine wake surfaces. It was found that the position of the trailing wake is very important in predicting the performance of propellers or turbines in steady or unsteady flow. The effects of a non-linear interaction between the inflow and the propeller/turbine blades have...

... and utilizes a modified matching and free-surface boundary conditions for the rock-filled core. Using the experimental work of previous authors, the predictability of the developed model is verified. This paper interprets and examines how nonpropagating waves affect the hydraulic behavior of the breakwater...

... viscosity turbulence model vortex core prediction boundary grid experimental data computational domain Vortex Flow hsiao pauley marine propeller equation International Journal of Offshore and Polar Engineering (ISSN 1053-5381) httpwww.isope.org/publications Copyright © by The International...