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Research on pipeline stress optimization based on genetic algorithm
by
Jin, Shaoyun
, Li, Huifang
, Wu, Zhiwei
, Qian, Caifu
in
chemical pipeline
/ Design optimization
/ genetic algorithm
/ Genetic algorithms
/ mechanical design
/ multi-objective optimization
/ Multiple objective analysis
2025
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Do you wish to request the book?
Research on pipeline stress optimization based on genetic algorithm
by
Jin, Shaoyun
, Li, Huifang
, Wu, Zhiwei
, Qian, Caifu
in
chemical pipeline
/ Design optimization
/ genetic algorithm
/ Genetic algorithms
/ mechanical design
/ multi-objective optimization
/ Multiple objective analysis
2025
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Research on pipeline stress optimization based on genetic algorithm
Journal Article
Research on pipeline stress optimization based on genetic algorithm
2025
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Overview
Traditional chemical pipeline stress optimization aiming to reduce the stress to a reasonable level requires engineers to spend much efforts through a large number of trial calculations. In this paper, an intelligent optimization method based on multi-objective genetic algorithm was proposed to optimize the pipeline bracket arrangement under the mechanical requirement. It is found that the optimization is feasible and can significantly reduce the stress level of pipelines. Compared with the traditional design, this optimization method can provide more reasonable pipeline supports quickly and automatically.
Publisher
IOP Publishing
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