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Design and Strength Evaluation of Gantry-Type Marine Lashing Structure for Offshore Wind Power Foundations
ZHANG Lei, YANG Yan, ZENG Tao, REN Weizhe, LIU Hongbing, ZHAO Li
Ship & Boat 2026, 37 (
02
): 110-119. DOI:
10.19423/j.cnki.31-1561/u.2025.148
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Economic globalization has driven the development of China’s manufacturing industry. The rise of major clean energy projects such as offshore wind power has increased the demand for maritime transportation of super-large structures. In view of the problems of poor universality, cumbersome procedures, and high cost faced by the current lashing tools for super-heavy marine modules such as offshore wind power jackets during sea transport, this paper designs a new gantry-type lashing tooling and systematically evaluates its strength and deformation through finite element analysis. The results show that when transporting a typical wind power jacket module, the maximum stress and deformation of the tooling are 236.62 MPa and 2.15 mm, respectively; when transporting an offshore pile module, the values are 110.85 MPa and 1.80 mm, respectively. Both are below the allowable stress of Q355B steel (273.08 MPa). The tooling has reliable strength, strong versatility, and high reusability. It can significantly shorten the lashing preparation cycle for major components such as wind power jackets, reduce the comprehensive transportation cost, and provide a feasible solution for cost reduction and efficiency improvement in the maritime transport of major components within the offshore wind power industry chain.
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The Idea of Ship Intelligence System Level Assessment Method Based on "Mission Plus Capability"
LI Mingyuan, ZHAO Lili, YU Xiu, ZHA Yiqian, XU Liang
Ship & Boat 2024, 35 (
03
): 118-128. DOI:
10.19423/j.cnki.31-1561/u.2024.03.013
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The advancement of computer performance and the development of artificial intelligence technology have promoted the transformation of the shipping industry towards intelligence, and more and more ships are equipped with intelligent systems. Ship intelligent systems can replace crew members to perform various repetitive and harsh work, and play a very important role in improving work efficiency and safety. With the development of ship intelligent systems, there are significant differences in the intelligence levels of different systems. It is necessary to assign reasonable tasks based on the evaluation level of intelligence so that intelligent systems can autonomously complete them. Therefore, accurately evaluating the ability of intelligent systems is very important. This article first outlines the current research status and significance of ship intelligent system level assessment, and then introduces and analyzes existing intelligent system level assessment methods. Next, a cobweb model based on “task + ability” for evaluating the intelligence level of ship intelligent systems is proposed, and finally, this cobweb model is employed to assess the level of intelligence of the intelligent system installed on a specific scientific research vessel.
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