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Accelerating simulation-driven optimisation of marine propellers using shape-supervised dimension reduction 基于形状监督降维的船舶螺旋桨加速仿真驱动优化
Pub Date : 2023-05-13 DOI: 10.23967/marine.2023.119
Shahroz Khan, S. Gaggero, P. Kaklis, G. Vernengo, D. Villa
Simulation-driven shape optimisation (SDSO) of marine propellers is often obstructed by high-dimensional design spaces stemming from its complex geometry and baseline parameterisation, which leads to the notorious curse of dimensionality. In this study, we propose using the shape-supervised dimension reduction (SSDR) approach to expedite the SDSO of marine propellers by extracting latent features for a lower-dimensional subspace. SSDR is different from other dimension reduction approaches as it utilises a shape-signature vector function, which consists of a shape modification function and geometric moments, maximising the retained geometric and physical information in the subspace. The resulting shape-supervised subspace from SSDR enables us to efficiently and effectively find an optimal design in appropriate areas of the design space. The feasibility of the proposed method is tested for the E779A propeller parameterised with 40 design parameters with the objective to maximise efficiency while reducing suction side cavitation. The results demonstrate that the shape-supervised subspace achieved an 87.5% reduction in the original design space's dimensionality, resulting in faster optimisation convergence.
船舶螺旋桨复杂的几何形状和基线参数化导致了高维设计空间的阻碍,从而导致了臭名昭著的维度诅咒。在本研究中,我们提出了使用形状监督降维(SSDR)方法,通过提取低维子空间的潜在特征来加快船舶螺旋桨的SDSO。SSDR不同于其他降维方法,因为它利用了形状特征向量函数,该函数由形状修改函数和几何矩组成,最大限度地保留了子空间中的几何和物理信息。从SSDR得到的形状监督子空间使我们能够有效地在设计空间的适当区域找到最佳设计。该方法的可行性在E779A螺旋桨上进行了测试,该螺旋桨参数化了40个设计参数,目标是在减少吸力侧空化的同时最大化效率。结果表明,形状监督子空间比原设计空间的维数降低了87.5%,优化收敛速度更快。
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引用次数: 0
On the Use of Artificial Intelligence to Define Tank Transfer Functions 利用人工智能定义储罐传递函数
Pub Date : 2021-10-18 DOI: 10.20944/preprints202110.0252.v1
P. Schmitt, C. Gillan, C. Finnegan
Experimental test facilities are generally characterised using linear transfer functions to relate the wavemaker forcing amplitude to wave elevation at a probe located in the wavetank. Second and third order correction methods are becoming available but are limited to certain ranges of waves in their applicability. Artificial intelligence has been shown to be a suitable tool to find even highly nonlinear functional relationships. This paper reports on a numerical wavetank implemented using the OpenFOAM software package which is characterised using artificial intelligence. The aim of the research is to train neural networks to represent non-linear transfer functions mapping a desired surface-elevation time-trace at a probe to the wavemaker input required to create it. These first results already demonstrate the viability of the approach and the suitability of a single setup to find solutions over a wide range of sea states and wave characteristics.
实验测试设备通常使用线性传递函数来描述位于波槽中的探头处的造波器强迫振幅与波高之间的关系。二阶和三阶校正方法正在变得可行,但其适用性仅限于某些波的范围。人工智能已经被证明是一个合适的工具来发现甚至是高度非线性的函数关系。本文报道了一个用OpenFOAM软件包实现的人工智能特征的数值波槽。该研究的目的是训练神经网络来表示非线性传递函数,将探测器所需的地表高程时间轨迹映射到创建该时间轨迹所需的波发生器输入。这些初步结果已经证明了该方法的可行性,以及单一装置在广泛的海况和波浪特性下寻找解决方案的适用性。
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引用次数: 1
Dynamic Response of a Net Cage Induced by a Sudden Mooring Line Failure in Regular Waves and Currents 系泊缆绳突然失效引起的网笼在规则波流中的动力响应
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.092
H. Tang, R. Yang, H. Yao
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引用次数: 0
Modelling of the Soil-Structure Interaction for Large Offshore Wind Turbines in a New Finite Element Simulation Framework 大型海上风力发电机土-结构相互作用的有限元模拟
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.099
D. Märtins, D. Schuster, C. Hente, C. Gebhardt, R. Rolfes
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引用次数: 0
Hybrid Mooring Systems for a Spar FOWT under regular waves: a numerical and experimental study 规则波条件下桅杆式FOWT混合系泊系统的数值与实验研究
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.071
T. Lopez-Olocco, L. González Gutiérrez, K. Thiagarajan
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引用次数: 0
Coupled wave, current and wind loads on floating elastic offshore wind turbines 浮动弹性海上风力发电机的波、流、风耦合载荷
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.072
A. Lamei, M. Hayatdovoodi, M. Riggs, R. Ertekin
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引用次数: 0
Parallel Constrained Multi-Objective Optimization for Ship Design Damage Stability Problem with (In)Expensive Function Evaluations 具有昂贵函数评估的船舶设计损伤稳定性问题并行约束多目标优化
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.135
R. de Winter
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引用次数: 0
Steps Towards the Direct Simulation of Submerged Canopy Flows 水下冠层流动直接模拟的研究进展
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.019
P. Schmitt
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引用次数: 0
Improved methodology for estimating the drag penalty due to hull roughness: Part II Preliminary results from field and laboratory campaigns 改进的船体粗糙度阻力损失估算方法:第二部分:现场和实验室试验的初步结果
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.080
J. Monty, N. Hutchins, J. Will, I. Aliman, B. Nugroho, I. Utama, I. Suastika, H. Henriyadi, T. Mulia
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引用次数: 0
Robust Optimization Of Hull Forms Operating in Realistic Ocean Environment - An Overview 在现实海洋环境中运行的船体形式鲁棒优化-综述
Pub Date : 1900-01-01 DOI: 10.23967/marine.2023.132
G. Grigoropoulos, C. Bakirztzoglou
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引用次数: 0
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10th Conference on Computational Methods in Marine Engineering
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