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May 10, 2026Journal of Ship Production and Design0 citations

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

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ZQZhang QuanyouRLRui LiYLYujun Liu

Key Points

  • This research aims to enhance the block lifting process by automating the selection of lifting points and minimizing interference.
  • Developed the block lifting process automated selection (LPAS) algorithm with two core components: LPA and LPS.
  • Conducted case analysis on wind turbine installation vessel block using simulation and finite element solver.
  • Evaluated accuracy by comparing results with MSC.NASTRAN outputs.
  • Achieved a maximum stress deviation of 7.04% from MSC.NASTRAN results.
  • Average displacement deviation was 1.44%, indicating high accuracy.
  • Demonstrated engineering applicability of the automated selection method.

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

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Cite This Study

Quanyou et al. (2026) studied this question.

synapsesocial.com/papers/6a0020aec8f74e3340f9b78fhttps://doi.org/10.5957/jspd.11240032
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