Structural hierarchical optimisation of composite pressure vessel lining design based on FEA-RSM-PSO approach

The weight and functionality of the composite pressure vessel is greatly affected by the liner construction, which is currently determined only by theoretical formulas and engineering experience, and there are often problems such as vessel failure and excessive weight. Here, the design of composite pressure vessel lining structures is optimised by the implementation of a hierarchical technique. In the first stage, the maximum form factor is utilised to optimise the dome’s shape, and the shape factors of domes that are often employed are compared. In the second level, a procedure combining Finite Element Analysis (FEA), Response Surface Methodology (RSM) and Particle Swarm Algorithm (PSO) is proposed to optimise the design of the liner’s spout and barrel structure to explore the lightweight requirements guided by the DOT-CFFC standard. In such, the goal and constraint values are computed using the finite element method, to cut down on time spent on computation, the response surface model is built rather than reusing the finite element computations, and to determine the best parameter combinations for the design variables, the particle swarm algorithm’s update of location and speed is used. The method can provide an important reference for designing complex lining structures with many variables.

Authors

Institutions

Publication Details

Journal
Journal of Reinforced Plastics and Composites
Published
2024-11-06
DOI
https://doi.org/10.1177/07316844241297518
Citations
2
Primary Topic
Mechanical Failure Analysis and Simulation
Type
article
Field-Weighted Citation Impact
0.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural hierarchical optimisation of composite pressure vessel lining design based on FEA-RSM-PSO approach

Zhanchun Chen, Ting Wu, Haifeng Gao, Fucheng Guo et al.
2 citations
Journal of Reinforced Plastics and Composites
Mechanical Failure Analysis and Simulation
0.43
article

Structural hierarchical optimisation of composite pressure vessel lining design based on FEA-RSM-PSO approach

Zhanchun Chen, Ting Wu, Haifeng Gao, Fucheng Guo, Jianguo Liang, Yinhui Li, Jianglin Liu, Qiang Li
article en
2 citations

Abstract

The weight and functionality of the composite pressure vessel is greatly affected by the liner construction, which is currently determined only by theoretical formulas and engineering experience, and there are often problems such as vessel failure and excessive weight. Here, the design of composite pressure vessel lining structures is optimised by the implementation of a hierarchical technique. In the first stage, the maximum form factor is utilised to optimise the dome’s shape, and the shape factors of domes that are often employed are compared. In the second level, a procedure combining Finite Element Analysis (FEA), Response Surface Methodology (RSM) and Particle Swarm Algorithm (PSO) is proposed to optimise the design of the liner’s spout and barrel structure to explore the lightweight requirements guided by the DOT-CFFC standard. In such, the goal and constraint values are computed using the finite element method, to cut down on time spent on computation, the response surface model is built rather than reusing the finite element computations, and to determine the best parameter combinations for the design variables, the particle swarm algorithm’s update of location and speed is used. The method can provide an important reference for designing complex lining structures with many variables.

Journal of Reinforced Plastics and CompositesVol. 45(3-4)
Taiyuan University of Technology (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 41%
Mechanical Failure Analysis and Simulation
0.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.