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RISIntelligent Code for Assessing Performance and Reliability of Failure Assessment Models
Publisher: American Society of Civil Engineers
Abstract: Pipelines often fail due to structural degradation and environmental factors, impacting the accuracy of failure assessment models (FAMs) such as Structural Integrity Assessment Procedures for European Industry (SINTAP), ...
Intelligent Code for Assessing Performance and Reliability of Failure Assessment Models
Publisher: American Society of Civil Engineers
Abstract: Pipelines often fail due to structural degradation and environmental factors, impacting the accuracy of failure assessment models (FAMs) such as Structural Integrity Assessment Procedures for European Industry (SINTAP), ...
Novel Intelligent Deep Learning Model for Predicting the Burst Pressure of Pipelines with Outer Axial Surface Cracks
Publisher: American Society of Civil Engineers
Abstract: AbstractThis paper proposes a novel pipeline burst pressure prediction model, transformer–bidirectional
long short-term memory (BiLSTM)–Gaussian noise (GN) model (TBGN), to address the complex
nonlinear coupling of ...