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Multi-Objective Shape Optimization Design for LNG Cryogenic Helical Corrugated Steel Pipe

[+] Author Affiliations
Zhixun Yang, Jun Yan, Qingzhen Lu, Jinlong Chen, Shanghua Wu, Lidong Wang, Qianjin Yue

Dalian University of Technology, Dalian, China

Paper No. OMAE2016-55151, pp. V005T04A022; 12 pages
doi:10.1115/OMAE2016-55151
From:
  • ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 5: Pipelines, Risers, and Subsea Systems
  • Busan, South Korea, June 19–24, 2016
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-4996-5
  • Copyright © 2016 by ASME

abstract

The flexible cryogenic hose has been a favored alternative for offshore liquefied natural gas (LNG) exploitation recently, of which helical corrugated steel pipe is the crucial component with C shaped corrugation. Parametric finite-element models of LNG cryogenic helical corrugated pipe are presented based on 3D shell element in this paper. Taking account of nonlinearity such as cryogenic material and large geometric structural deformation, mechanical behavior characteristics results are obtained under axial tensional, bending and inner pressure loads. Meanwhile, the design parameters are determined for the shape optimization of structures of the flexible cryogenic hose through sectional dimension analysis, and sensitivity analysis is performed with changing geometric parameters. A multi-objective optimization with the object of minimizing stiffness and strength stress is formulated based on operation condition. Full factorial experiment and radial basis function (RBF) neural network are applied to establish the approximated model for the analysis of the structure. The Pareto optimal solution set and value range of parameters are obtained through NSGA-II GA algorithm under manufacturing and stiffness constraints. It provides a feasible optimal approach for the structural design of LNG cryogenic corrugated hose.

Copyright © 2016 by ASME

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