Realization of Domestic Ship Hydrodynamic Numerical Software on Industrial Cloud Platform

doi:10.16182/j.issn1004731x.joss.22-0497

Abstract

Abstract:

Developing the user-friendly cloud platform for high-performance numerical software deployment has great engineering significance. Based on the high performance computing resource of Web industry cloud platform, the large-scale high performance test on the domestic ship hydrodynamics numerical software is carried out. Selecting a typical Knock Nevis KCS model with a bulbous bow, through the parallel solver of the software, the wave-making problem of a real ship is simulated, in which the wave shape near the actual ship hull is basically consistent with that of the real ship. The successful test of a typical application scenario of the domestic ship hydrodynamics numerical software on the industrial cloud platform provides a powerful and controllable simulation tool for the study of ship navigation wave-making.

Key words: high performance numerical software, industrial cloud platform, ship hydrodynamics, ship navigation wave-making, engineering simulation

CLC Number:

TP391.9

Yingyan Zhao, Qunsheng Cao, Zhengnan Cao, Jianchun Wang. Realization of Domestic Ship Hydrodynamic Numerical Software on Industrial Cloud Platform[J]. Journal of System Simulation, 2022, 34(8): 1855-1863.

Figures/Tables 15

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References 17

1	顾蓓蓓. 高性能计算应用驱动发展研究分析[J]. 科研信息化技术与应用, 2019, 10(4): 63-70.
	Gu Beibei. Research and Analysis on Application-Driven Development of High-performance Computing[J]. E-Science Technology & Application, 2019, 10(4): 63-70.
2	历军. 高性能计算应用概览[M]. 北京: 清华大学出版社, 2018: 286-305.
	Li Jun. Overview of High-performance Computing Applications[M]. Beijing: University Press, 2018: 286-305.
3	莫则尧. 高性能数值模拟编程框架研究进展[J]. 科研信息化技术与应用, 2015, 6(4): 11-19.
	Mo Zeyao. Progress on High Performance Programming Frame Work for Numerical Simulation[J]. E-Science Technology & Application, 2015, 6(4): 11-19.
4	李国杰. 序言: 发展高性能计算需要思考的几个战略性问题[J]. 中国科学院院刊, 2019(6): 605-608.
	Li Guojie. Prologue: Several Strategic Issues to be Considered in Developing High Performance Computing[J]. Chinese Academy of Sciences, 2019(6): 605-608.
5	Lu Y T, Qian D P, Fu H H, et al. Will Supercomputers be Super-Data and Super-AI Machines?[J]. Communications of the ACM(S0001-0782), 2018, 61(11): 82-87.
6	钱德沛. 构建支撑科技创新的新一代计算基础设施[J]. 数据与计算发展前沿, 2021, 2(1): 1-17.
	Qian Depei. Building a New Generation of Computing Infrastructure to Support Technological Innovation[J]. The Frontier of Data and Computing, 2021, 2(1): 1-17.
7	戴霖. 基于应用的高性能计算平台作业调度算法研究[J]. 电声技术, 2019, 43(5): 52-53.
	Dai Lin. Research on Application-based Job Scheduling Algorithm for High Performance Computing Platform[J]. Audio Engineering, 2019, 43(5): 52-53.
8	梁川, 赵峰. 低傅氏数兴波数值预报的不稳定现象及其解决方案[J]. 船舶力学, 2021, 25(4): 399-405.
	Liang Chuan, Zhao Feng. Instability Phenomenon and its Solution in Numerical Prediction of Low Fourier Number Wave-making [J]. Ship Mechanics, 2021, 25(4): 399-405.
9	迟学斌. 国家高性能计算环境发展报告(2002-2017年)[M]. 北京: 科学出版社, 2018: 1-12.
	Chi Xuebin. National High-Performance Computing Environment Development Report (2002-2017) [M]. Beijing: Science Press, 2018: 1-12.
10	李国杰. 序言: 发展高性能计算需要思考的几个战略性问题[J]. 中国科学院院刊, 2019(6): 605-608.
	Li Guojie. Preface: Several Strategic Issues to Considerin Developing High Performance Computing [J]. Journal of Chinese Academy of Sciences, 2019(6): 605-608.
11	吴乘胜, 王星, 王建春, 等. 支持笛卡尔混合网格的不可压流动CFD求解器开发与验证[J]. 中国造船, 2021, 62(3): 127-138.
	Wu Chengsheng, Wang Xing, Wang Jianchun, et al. Development and Validation of Incompressible Flow CFD Solvers Supporting Cartesian Hybrid Grids [J]. China Shipbuilding, 2021, 62(3): 127-138.
12	凌敏, 王骥. 基于Netty和MongoDB的车联网Web系统[J]. 测绘与空间地理信息, 2021, 44(10): 55-28, 62.
	Ling Min, Wang Ji. Netty and MongoDB Based Internetof Vehicles Web System [J]. Mapping and Spatial Geographic Information, 2021, 44(10): 55-28, 62.
13	彭蔓蔓, 徐立超, 王颖. 异构多核处理器的任务分配及能耗的研究[J]. 计算机应用研究, 2010, 27(5): 1729-1731.
	Peng Manman, Xu Lichao, Wang Ying. Research on Task Allocation and Energy Consumption of Heterogeneous Multi-Core Processors [J]. Computer Application Research, 2010, 27(5): 1729-1731.
14	周磊, 解茂昭, 贾明. 不同亚网格尺度应力模型在燃油喷雾大涡模拟中的应用[J]. 内燃机学报, 2011, 29(1): 29-35.
	Zhou Lei, Xie Maozhao, Jia Ming. Application of Different Subgrid Scale Stress Models in Large Eddy Simulation of Fuel Spray [J]. Journal of Internal Combustion Engine, 2011, 29(1): 29-35.
15	王建华, 万德成. 高航速KCS船艏破波数值模拟和实验研究[C]//第三十届全国水动力学研讨会暨第十五届全国水动力学学术会议论文集(上册). 上海: 水动力学研究与进展, 2019: 540-545. DOI:10.26914/c.cnkihy.2019.013217 .
	Wang Jianhua, Wan Decheng. Numerical Simulation and Experimental Study on Bow Breaking Wave of High Speed KCS Ship [C]//30th National Symposium on Hydrodynamics and the 15th National Symposium on Hydrodynamics. Shanghai: Research and Development of Hydrodynamics, 2019: 540-545. DOI:10.26914/c.cnkihy.2019.013217 .
16	耿文静, 董红斌, 丁蕊. 基于 MPI 的并行多目标粒子群算法[J]. 模式识别与人工智能, 2018, 31(7): 668-676.
	Geng Wenjing, Dong Hongbin, Ding Rui. MPI-based Parallel Multiobjective Particle Swarm Optimization Algorithm[J]. Pattern Recognition and Artificial Intelligence, 2018, 31(7): 668-676.
17	Kim W J, Van S H, Kim D H. Measurement of Flows Around Modern Commercial Ship Models[J]. Experiments in Fluids(S0723-4864), 2001, 31(5): 567-578.

模块	子模块	模型类别
接口函数	前处理
	后处理
	工具包
用户算例
数学库	METIS并行分区库
	YHAMG求解库
	NaViiXMath 数学库
数值离散格式	离散方法
数值离散格式	网格场域量
模型算法	动量方程
	压力修正方程
	初边值条件
	RANS湍流模型	RNG k-ε
		k-ε
		k-ω
		SST k-ω
		SST k-ω DES
	LES亚格子模型	Smag
		SmagLilly
		WALE
		AWMLES
	多相流VOF物理模型
	六自由度运动DoF模型
NaViiX.c(程序主要函数)

参数	实船	模型
L_PP/m	230.0	7.278 6
L_WL/m	232.5	7.357 7
B_WL/m	32.2	1.019 0
T/m	10.8	0.341 8
S_W/m²	9 424	9.437 9
∇/m³	52 030	1.649 0
C_B	0.650 5	0.650 5

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