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Keywords: prediction
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Journal Articles
Full-scale Collapse Testing Versus Novel Predictive Model
Available to Purchase
Int. J. Offshore Polar Eng. 34 (04): 337–343.
Paper Number: ISOPE-24-34-4-337
Published: 12 December 2024
... 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...
Journal Articles
TALOS Wave Energy Converter Power Output Prediction Analysis Based on a Machine Learning Approach
Available to Purchase
Int. J. Offshore Polar Eng. 34 (03): 306–313.
Paper Number: ISOPE-24-34-3-306
Published: 09 September 2024
... 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...
Journal Articles
Validated Methodology for Assessment of Welded Steel Structures by Nonlinear Finite Element Analysis
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Int. J. Offshore Polar Eng. 34 (02): 191–198.
Paper Number: ISOPE-24-34-2-191
Published: 03 June 2024
...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...
Journal Articles
Real-time Prediction of Parametric Roll Motion via Power-activation Feed-forward Neural Network with Model Experiment Data
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Int. J. Offshore Polar Eng. 34 (02): 129–137.
Paper Number: ISOPE-24-34-2-129
Published: 03 June 2024
...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...
Journal Articles
Prediction of Wave-Induced Nonlinear Ship Motions Based on an IRF-LSTM Hybrid Approach
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Int. J. Offshore Polar Eng. 34 (02): 164–173.
Paper Number: ISOPE-24-34-2-164
Published: 03 June 2024
.... 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...
Journal Articles
Prediction of Unsteady Pressure Distribution in Irregular Waves Using Locally Measured Pressure Data and Convolution Integral
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Int. J. Offshore Polar Eng. 34 (01): 37–46.
Paper Number: ISOPE-24-34-1-037
Published: 06 March 2024
...; 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...
Journal Articles
Physics-based Data-informed Prediction of Vertical, Catenary, and Stepped Riser Vortex-induced Vibrations
Available to PurchaseAndreas P. Mentzelopoulos, José del Águila Ferrandis, Samuel Rudy, Themistoklis Sapsis, Michael S. Triantafyllou, Dixia Fan
Int. J. Offshore Polar Eng. 33 (04): 367–379.
Paper Number: ISOPE-23-33-4-367
Published: 15 December 2023
...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...
Journal Articles
Real-time Wave-Prediction Method at Arbitrary Locations Using Data Assimilation and Convolutional Neural Networks
Available to PurchaseShinichiro Ozaki, Yoshihiko Ide, Masaru Yamashiro, Mitsuyoshi Kodama, Tsuyoshi Kotoura, Noriaki Hashimoto
Int. J. Offshore Polar Eng. 33 (04): 388–398.
Paper Number: ISOPE-23-33-4-388
Published: 15 December 2023
...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...
Journal Articles
Application of Machine Learning for Prediction of Wave-induced Ship Motion
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Int. J. Offshore Polar Eng. 33 (02): 164–173.
Paper Number: ISOPE-23-33-2-164
Published: 01 June 2023
...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...
Journal Articles
On the Artificial Intelligence for the Sea State Forecast Along the Northern Sea Route
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Int. J. Offshore Polar Eng. 32 (04): 411–417.
Paper Number: ISOPE-22-32-4-411
Published: 01 December 2022
... 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...
Journal Articles
A Machine Learning Ship’s Speed Over Ground Prediction Model and Sailing Time Control Strategy
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Int. J. Offshore Polar Eng. 32 (04): 386–393.
Paper Number: ISOPE-22-32-4-386
Published: 01 December 2022
...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...
Journal Articles
A Machine Learning Model for Wave Prediction Based on Support Vector Machine
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Int. J. Offshore Polar Eng. 32 (04): 394–401.
Paper Number: ISOPE-22-32-4-394
Published: 01 December 2022
...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...
Journal Articles
Current Profile Extreme Prediction in the South China Sea Based on the EOF-ACER Method, by Considering Current Directions
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Int. J. Offshore Polar Eng. 31 (03): 275–282.
Paper Number: ISOPE-21-31-3-275
Published: 01 September 2021
...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...
Journal Articles
A Blind Comparative Study of Focused Wave Interactions with a Fixed FPSO-like Structure (CCP-WSI Blind Test Series 1)
Available to PurchaseEdward Ransley, Shiqiang Yan, Scott Andrew Brown, Tri Mai, David Graham, Qingwei Ma, Pierre-Henri Musiedlak, Allan Peter Engsig-Karup, Claes Eskilsson, Qian Li, Jinghua Wang, Zhihua Xie, Sriram Venkatachalam, Thorsten Stoesser, Yuan Zhuang, Qi Li, Decheng Wan, Gang Chen, Hao Chen, Ling Qian, Zhihua Ma, Clive Mingham, Derek Causon, Inno Gatin, Hrvoje Jasak, Vuko Vukcevic, Steven Downie, Pablo Higuera, Eugeny Buldakov, Dimitris Stagonas, Qiang Chen, Jun Zang, Deborah Greaves
Int. J. Offshore Polar Eng. 29 (02): 113–127.
Paper Number: ISOPE-19-29-2-113
Published: 01 June 2019
...), 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...
Journal Articles
Quantifying the Predictive Capability of OpenFOAM 4.1: Focused Wave Interactions with a Fixed FPSO
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Int. J. Offshore Polar Eng. 29 (02): 158–164.
Paper Number: ISOPE-19-29-2-158
Published: 01 June 2019
... 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...
Journal Articles
Prediction of Forces and Pressures on a Wedge and a Ship Section with CIP-Based Methods
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Int. J. Offshore Polar Eng. 28 (02): 171–181.
Paper Number: ISOPE-18-28-2-171
Published: 01 June 2018
...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...
Journal Articles
Yield Strength Prediction of UOE Pipes: From Forming to Flattening
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Int. J. Offshore Polar Eng. 28 (02): 206–211.
Paper Number: ISOPE-18-28-2-206
Published: 01 June 2018
..., 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...
Journal Articles
Prediction of Long-Term Deformations of Offshore Wind Power Plant Foundations Using HCA-Based Engineer-Oriented Models
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Int. J. Offshore Polar Eng. 27 (04): 346–356.
Paper Number: ISOPE-17-27-4-346
Published: 01 December 2017
...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...
Journal Articles
Holistic Modeling of the Global Propulsion Energy Index in Waves for Small Craft
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Int. J. Offshore Polar Eng. 27 (04): 442–447.
Paper Number: ISOPE-17-27-4-442
Published: 01 December 2017
.... 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...
Journal Articles
Application of Quasi-Continuous Method to Open-Water Characteristics Predictions of Propellers with Energy-Saving Ducts
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Int. J. Offshore Polar Eng. 26 (01): 72–80.
Paper Number: ISOPE-16-26-1-072
Published: 01 March 2016
...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...
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