2 papers
cs.CE2024
A physics-enhanced multi-modal fused neural network for predicting contamination length interval in pipeline
Jian Du, Pengtao Niu, Jianqin Zheng +2
During the operation of a multi-product pipeline, an accurate and effective prediction of contamination length interval is the central key to guiding the cutting plan formulation a…
cs.CE2024
A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
Jian Du, Haochong Li, Qi Liao +3
The high-pressure transportation process of pipeline necessitates an accurate hydraulic transient simulation tool to prevent slack line flow and over-pressure, which can endanger p…