... hotspots. The research results demonstrate that the relative error between calculated results and measured values is less than 5%, with a 9% improvement in stress spectrum twinning accuracy compared to previous studies. The deviation from measured peak values is only 1.1%, showcasing the substantial...

... artificial intelligence kriging metamodel fpso journal line 2 proceedings line 1 engineering accuracy optimization latin hypercube offshore mechanics Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference Rhodes, Greece, June 16 21, 2024 Copyright © 2024...

... and laboratory sample analyses, offer advantages in local accuracy. However, they face limitations in global representation and timeliness. Ground stations can provide precise CO2 and CH4 concentration data but are limited by geographic coverage, making it challenging to immediately reflect global carbon...

... model constructed in this study has high accuracy and can effectively predict the wave load values. This study provides a new idea for wave load forecasting, which has a positive effect on the intelligence and real-time wave load forecasting. KEY WORDS: Surrogate model; Neural network; Numerical...

...-structure coupling behavior of Ti80 plate. In addition, the accuracy of the fluid-structure coupling model is verified from the aspects of shock wave free field pressure, deformation/failure modes of test samples and maximum deformation deflection. The results show that the loading process of underwater...

... ship prediction displacement machine learning coefficient artificial intelligence optimization algorithm journal accuracy efficiency ship lifting machine cargo ship duration prediction draught Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference...

... analysis is performed in three steps, as shown in Fig. 4. x-ray ct application defect specification computed tomography powder conference software simulation geometry reliability thermal deformation detection verification x-ray ct capability accuracy Proceedings of the Thirty...

... conditions. Unlike traditional numerical solvers that require hours of simulation time, our approach delivers rapid predictions. To achieve this, we leverage the Gaussian Process Regression method to construct robust models. This method ensures quick predictions while emphasizing efficiency and accuracy...

... deterioration of the main engine and propulsion system due to aging. resistance performance accuracy onboard monitoring data deterioration equation hull fouling machine learning fouling formula artificial intelligence propulsive performance ship propulsive performance constraint deviation...

... results verifies the optimization and the accuracy of the simulation. INTRODUCTION Owing to the more and more requirements on yacht such as seakeeping, structural strength, general arrangement and economy, the form design of yacht is developing towards balancing the speed and its adverse factors like...

... modeling & simulation characteristic viscosity accuracy drag reduction performance numerical simulation study ship application Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference Rhodes, Greece, June 16 21, 2024 Copyright © 2024 by the International...

... is a serious problem. To overcome the problem, we propose a hull force representation model by using ML. For the validation of accuracy, we compare simulation results by our proposed method and the conventional models. INTRODUCTION To simulate the manoeuvring motion of a ship, we use motion equations...

... by interpolation of the thrust calculated under a series of different speed and drift angles and steering angles. Compared with the traditional MMG model, the improved MMG model improves the prediction accuracy of turning performance for ASD tugs by more than 10 %. It has been verified that this model can be used...

... prediction accuracy, especially for the complex 3D geometry, results in poor performance in predicting nonlinear structure responses, which potentially leads to structural damage. In recent years, comparing with the response of the ship structure, the nonlinear ship motion under high waves have been more...

... in prediction accuracy and generalization, especially has much better robustness to noise compared with traditional methods. INTRODUCTION With the rapid development of technologies in artificial intelligence and big data, intelligent ship research, as a concentrated application of these technologies, has...

.... However, the tiny time-step and mesh spacing would be required, resulting in high computational resource usage and time-consuming. To address this problem, some numerical strategies were designed to reduce the overall computational effort and limit the loss of accuracy, for instance, body-force model...

... the constructed RANS-MMG method. Considering the characteristics of restricted waterways, the regression analysis method is used to modify the calculation formula of ship maneuverability index KT in such waterways. The accuracy of the RANS-MMG method is verified by comparing with the real ship test data...

... ABSTRACT Ship dynamics models are the foundation to predict ship movement. Traditionally, mechanism-driven models have low accuracy and data-driven models have high data dependency. Thus, a novel mechanism-data dual-driven method is proposed to address the above problems. An MMG model...

... and Yim and Song and Demirel and Tezdogan, 2022). machine learning empirical mode decomposition dmd artificial intelligence prediction time-series forecasting configuration root mean square error data mining accuracy prediction accuracy ship maneuvering motion decomposition mode...

... the real optimal solution sets in the design space. Firstly, the accuracy and efficiency of the adaptive sampling method are verified by multi-objective mathematical functions. Then, based on this method, the resistance and wake performance of KCS ship at Fr = 0.26 is optimized. In order to reduce...