Yi-zheng Yang, Yue-hui Shu, Guang-nian Li, Lin Du, Hai-peng Guo
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引用次数: 0
Abstract
Motivation
With the development of computer graphics in front-end technology and internet applications, there are many universal online modeling tools like Spline and Vectary. However, ship hull design requires specific constraints like displacement volume and standard deformation algorithms such as Lackenby and Free-Form deformation (FFD).
Solution
This study developed an online platform of ship hull parametric modeling and design called Ship Hull Iterative Parametrization Online (SHIP Online). Firstly, three deformation methods—linear,interactive FFD, and combined deformation—were implemented using JavaScript and Python. Fast Quadric Mesh Simplification (FQMS) and Nelder-Mead optimization were introduced for combined deformation. Secondly, the user interface was built with HTML5, JavaScript, and CSS. Thirdly, the synchronization and data transmission issues between front and back-end were handled by Django and $. ajax. Finally, the platform would be deployed on a cloud server for multi-system access.
Result
The DTMB-5415 standard model was used to evaluate the accuracy, efficiency, and functions of calculations and deformations in SHIP Online. The errors of hydrostatic parameters were nearly 0.0 %. With a 90 % optimal simplification rate and parameter errors under 0.001, combined deformation efficiency improved by 87.78 % and 55.15 % compared to deformation without FQMS and other software. Functional and user testing shows that the functions can be stably and normally executed.
Conclusion
By integrating ship deformation algorithms and design constraints with the front-end technology, SHIP Online provides a Web-based rapid hull design platform instead of traditional 3D modeling client software.
期刊介绍:
The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.
The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability.