Development and Research on Automated Selection Algorithm for Block Lifting Process Design

_ To address the challenges of experience-dependent lifting point layout and the insufficient consideration of interference between the ship block and lifting slings in block lifting process design, this study proposes a block lifting process automated selection (LPAS) algorithm. The proposed LPAS consists of two core components: the block lifting process automated (LPA) algorithm and the block lifting process selection (LPS) algorithm. The LPA handles automatic identification of lifting point, lifting point number estimation, block coordinate transformation, regional partitioning, and preliminary design plan generation. The LPS focuses on interference detection between the block and the lifting slings, solving key issues such as the calculation of the lug-hole center, lifting lug installation interference, and the hook point transformation. By integrating LPAS with a block lifting simulation module, automatic meshing module, and a finite element solver, an independent system for block lifting process design is established. Case analysis on a wind turbine installation vessel block (MD03P) shows that proposed system achieves stress and displacement results closely aligned with MSC.NASTRAN, with a maximum stress deviation of 7.04% and an average deviation of 1.44%, demonstrating both accuracy and engineering applicability of the method. Keywords block lifting process; automated selection algorithm; lifting point layout; AVEVA Marine; Möller-Trumbore

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Publication Details

Journal
Journal of Ship Production and Design
Published
2026-05-08
DOI
https://doi.org/10.5957/jspd.11240032
Primary Topic
Wave and Wind Energy Systems
Type
article
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article

Development and Research on Automated Selection Algorithm for Block Lifting Process Design

Julin Shan, Zhang Quanyou, Yujun Liu, Rui Li et al.
Journal of Ship Production and Design
Wave and Wind Energy Systems
article

Development and Research on Automated Selection Algorithm for Block Lifting Process Design

Julin Shan, Zhang Quanyou, Yujun Liu, Rui Li, Hexin Wan, Xiuguang Zhan
article en

Abstract

_ To address the challenges of experience-dependent lifting point layout and the insufficient consideration of interference between the ship block and lifting slings in block lifting process design, this study proposes a block lifting process automated selection (LPAS) algorithm. The proposed LPAS consists of two core components: the block lifting process automated (LPA) algorithm and the block lifting process selection (LPS) algorithm. The LPA handles automatic identification of lifting point, lifting point number estimation, block coordinate transformation, regional partitioning, and preliminary design plan generation. The LPS focuses on interference detection between the block and the lifting slings, solving key issues such as the calculation of the lug-hole center, lifting lug installation interference, and the hook point transformation. By integrating LPAS with a block lifting simulation module, automatic meshing module, and a finite element solver, an independent system for block lifting process design is established. Case analysis on a wind turbine installation vessel block (MD03P) shows that proposed system achieves stress and displacement results closely aligned with MSC.NASTRAN, with a maximum stress deviation of 7.04% and an average deviation of 1.44%, demonstrating both accuracy and engineering applicability of the method. Keywords block lifting process; automated selection algorithm; lifting point layout; AVEVA Marine; Möller-Trumbore

Journal of Ship Production and Design
Dalian University of Technology (CN), SGIDI Engineering Consulting (China) (CN), Luoyang Institute of Science and Technology (CN)
Life below water
Openalex Percentile: Top 6%
Wave and Wind Energy Systems
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Development and Research on Automated Selection Algorithm for Block Lifting Process Design — Julin Shan, Zhang Quanyou, et al. · Journal of Ship Production and Design (2026) | TGRS Research Map | TGRS