Application of hull form knowledge graph method in design of Yangtze River bulk cargo ship

Table 1. Main parameters of 7 500-ton bulk carrier hulls
View table
View in Article
Table 1. Main parameters of 7 500-ton bulk carrier hulls
参数数值
设计水线长L_wl/m 130
垂线间长L_pp/m 128
船宽B/m 16.2
型深D/m 7.2
设计吃水T/m 5.2
方形系数C_B 0.86

Table 2. Partially optimized parameter data

View table

View in Article

Table 2. Partially optimized parameter data

方案	b/B	I_skegy	y_dwl	X_cb
1	0.498	0.521	0.940	0.009 6
2	0.499	0.530	0.946	0.010 6
3	0.499	0.542	0.954	0.011 2
4	0.501	0.552	0.963	0.011 3
5	0.510	0.562	0.972	0.010 8
…	…	…	…	…
236	0.411	0.610	0.875	－0.003 0
237	0.600	0.642	0.898	－0.003 0
238	0.600	0.678	0.938	－0.003 0
239	0.600	0.700	0.970	－0.004 0
240	0.600	0.700	1.000	－0.005 0

Table 3. Application scope of the hull form knowledge graph for the bulk carriers in the middle and lower reaches of the Yangtze River
View table
View in Article
Table 3. Application scope of the hull form knowledge graph for the bulk carriers in the middle and lower reaches of the Yangtze River
参数适用范围
方形系数C_B 0.82～0.90
长宽比L_pp/B 5.0～8.5
宽度吃水比B/T 3.0～4.0
弗劳德数Fr ≈0.15

Table 4. Main parameters of 6 000-ton bulk carrier
View table
View in Article
Table 4. Main parameters of 6 000-ton bulk carrier
参数数值
垂线间长L_pp /m 105.6
型宽B /m 18.6
吃水T /m 5.46
方形系数C_B 0.86
弗劳德数Fr 0.157
排水体积$\nabla $/m³ 9 103.1

Table 5. The main parameter variables of the inference ship
View table
View in Article
Table 5. The main parameter variables of the inference ship
输入数据推理结果
L_pp/B B/T C_B b/B I_skegy y_dwl X_cb
5.677 4 3.406 6 0.86 0.521 6 0.606 1 0.934 7 0.006 3

Table 6. Comparison of resistance performance between the inference ship and conventional ship
View table
View in Article
Table 6. Comparison of resistance performance between the inference ship and conventional ship
类别 R_f/N R_r/N R_t/N 差值/%
推理船 16.40 5.65 22.05 2.39
常规船 16.91 5.67 22.59

Table 7. Comparison of total resistance performance
View table
View in Article
Table 7. Comparison of total resistance performance
方案 R_t/N 方案 R_t/N
推理船 22.05 样本船1 23.76
样本船2 26.18 样本船3 29.27
样本船4 22.63 样本船5 25.24
样本船6 24.62 样本船7 23.34
样本船8 23.22 样本船9 23.99
样本船10 24.96

Tools

Get Citation

Copy Citation Text

Jianyi ZHANG, Lüge XIAO, Baiwei FENG, Zuyuan LIU, Chengsheng ZHAN. Application of hull form knowledge graph method in design of Yangtze River bulk cargo ship[J]. Chinese Journal of Ship Research, 2024, 19(6): 17

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Theory and Method of Intelligent Design for Ship and Ocean Engineering

Received: Mar. 31, 2024

Accepted: --

Published Online: Mar. 14, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.03855

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Main parameters of 7 500-ton bulk carrier hulls

Table 1. Main parameters of 7 500-ton bulk carrier hulls

Table 2. Partially optimized parameter data

Table 2. Partially optimized parameter data

Table 3. Application scope of the hull form knowledge graph for the bulk carriers in the middle and lower reaches of the Yangtze River

Table 3. Application scope of the hull form knowledge graph for the bulk carriers in the middle and lower reaches of the Yangtze River

Table 4. Main parameters of 6 000-ton bulk carrier

Table 4. Main parameters of 6 000-ton bulk carrier

Table 5. The main parameter variables of the inference ship

Table 5. The main parameter variables of the inference ship

Table 6. Comparison of resistance performance between the inference ship and conventional ship

Table 6. Comparison of resistance performance between the inference ship and conventional ship

Table 7. Comparison of total resistance performance

Table 7. Comparison of total resistance performance

微信扫一扫：分享