Weixin Jiang1,*, Qing Yuan2, Zongze Li3, Junhua Gong3, Bo Yu4
The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.08861
Abstract The hydraulic and thermal simulation of crude oil pipeline transportation is greatly significant for the safe
transportation and accurate regulation of pipelines. With reasonable basic parameters, the solution of the
traditional partial differential equation (PDE) for the axial soil temperature field on the pipeline can obtain
accurate simulation results, yet it brings about a low calculation efficiency problem. In order to overcome
the low-efficiency problem, an efficient and robust hybrid solution model for soil temperature field coupling
with Bayesian neural network and PDE is proposed, which considers the dynamic changes of boundary
conditions. Four models,… More >
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