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Deeppipe: Theory-guided neural network method for predicting burst pressure of corroded pipelines

Yunlu Ma, Jianqin Zheng, Yongtu Liang, Jiří Jaromír Klemeš, Jian Du, Qi Liao, Hongfang Lü, Bohong Wang

2022Process Safety and Environmental Protection45 citationsDOI

Topics & Concepts

Artificial neural networkPipeline (software)Pipeline transportMean squared errorAdaptabilityEnergy (signal processing)Feature (linguistics)Function (biology)EngineeringFinite element methodComputer scienceData miningArtificial intelligenceStructural engineeringMathematicsStatisticsMechanical engineeringEvolutionary biologyLinguisticsPhilosophyBiologyEcologyStructural Integrity and Reliability AnalysisCorrosion Behavior and InhibitionNon-Destructive Testing Techniques
Deeppipe: Theory-guided neural network method for predicting burst pressure of corroded pipelines | Litcius