Research on pipeline stress optimization based on genetic algorithm

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.