基于人工神经网络的三体船剩余阻力预测

IF 3.9 4区 工程技术 Q1 ENGINEERING, MARINE Brodogradnja Pub Date : 2022-01-01 DOI:10.21278/brod73107
Burak Yıldız
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引用次数: 12

摘要

三体船由于与传统单体船相比,在高速下阻力减小、稳定性更好、甲板面积更大,最近在商业和军事用途中都很受欢迎。侧船体位置的确定对于获得更高的水动力性能是最关键的。因此,文献中的许多研究都与三体船侧船体的位置定义有关。大多数研究都是通过实验或数值进行的。在本研究中,使用人工神经网络(ANN)模型来预测三体船模型的剩余阻力系数。该模型使用四个参数,即侧船体的横向和纵向位置、纵向浮力中心和弗劳德数来预测三体船模型的剩余阻力。利用三体船模型的实验数据对神经网络模型进行训练,以建立更可靠的模型。开发并测试了几个神经网络模型,以找到误差最小的模型。研究表明,与模型实验数据相比,三体船模型的剩余阻力系数预测精度较高。研究还表明,人工神经网络是模型试验和数值模拟的一种有用的替代方法。所开发的模型可用于减少模型试验或数值模拟的次数,以及获得侧船体在阻力方面的最佳位置。
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PREDICTION OF RESIDUAL RESISTANCE OF A TRIMARAN VESSEL BY USING AN ARTIFICIAL NEURAL NETWORK
Trimaran hull forms have been popular recently in both commercial and military usage due to reduction in resistance at high speeds, better stability, and greater deck area compared to conventional monohull vessels. Determination of the location of the side hulls is most critical to get higher hydrodynamic performance. Therefore, many studies in the literature are related to defining the location of the side hulls for trimaran vessels. Most of the studies have been carried out experimentally or numerically. In this study, an artificial neural network (ANN) model was used to predict the residual resistance coefficient of a trimaran model. The model uses four parameters which are the transverse and longitudinal positions of the side hulls, the longitudinal centre of buoyancy and the Froude number to predict the residual resistance of the trimaran model. The experimental data of the trimaran model were used to train the neural network model in order to develop a more reliable model. Several neural network models were developed and tested to find the one with minimum error. The study showed that the residual resistance coefficients of the trimaran model were predicted with high accuracy levels compared to the model experimental data. It was also shown that an ANN is a useful alternative method to model tests and numerical simulations. The developed model can be used to reduce the number of model tests or numerical simulations as well as to obtain the optimum location of the side hulls in terms of resistance.
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来源期刊
Brodogradnja
Brodogradnja ENGINEERING, MARINE-
CiteScore
4.30
自引率
38.90%
发文量
33
审稿时长
>12 weeks
期刊介绍: The journal is devoted to multidisciplinary researches in the fields of theoretical and experimental naval architecture and oceanology as well as to challenging problems in shipbuilding as well shipping, offshore and related shipbuilding industries worldwide. The aim of the journal is to integrate technical interests in shipbuilding, ocean engineering, sea and ocean shipping, inland navigation and intermodal transportation as well as environmental issues, overall safety, objects for wind, marine and hydrokinetic renewable energy production and sustainable transportation development at seas, oceans and inland waterways in relations to shipbuilding and naval architecture. The journal focuses on hydrodynamics, structures, reliability, materials, construction, design, optimization, production engineering, building and organization of building, project management, repair and maintenance planning, information systems in shipyards, quality assurance as well as outfitting, powering, autonomous marine vehicles, power plants and equipment onboard. Brodogradnja publishes original scientific papers, review papers, preliminary communications and important professional papers relevant in engineering and technology.
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