Post by Rabia AlAllawi

Predicting Creep-Fatigue Interaction in High-Pressure Hydrocracker Vessels via Physics-Constrained Surrogates Inside downstream refining infrastructure, pressure vessels and piping networks operate under sustained internal pressures at temperatures frequently exceeding $500^\circ\text{C}$. Under these severe thermo-mechanical conditions, the steel undergoes irreversible, time-dependent plastic deformation (Creep), which dynamically interacts with cyclic operational thermal stresses (Fatigue). Modeling this destructive Creep-Fatigue Interaction requires bridging high-fidelity physics with rapid surrogate computation: Damage Accumulation Physics: Utilizing Robinson’s fraction rule or the strainrange partitioning method to track microstructural void growth alongside cyclic crack initiation parameters. Physics-Constrained Surrogate Models: Training optimized Python algorithms constrained by the Manson-Coffin fatigue laws and Larson-Miller creep parameters. These neural architectures ingest SCADA thermal histories to provide continuous, real-time damage metrics. This allows downstream operators to actively track the remaining useful life (RUL) of critical refining nodes, shifting maintenance protocols from rigid time-based intervals to prognostics-driven operational strategies. To petrochemical asset managers: How do you calibrate your multi-axial creep-fatigue interaction damage matrices when transitioning from standard uniaxial laboratory test data to complex, real-world pressure vessel geometries? #RefineryEngineering #Downstream #CreepFatigue #MaterialsScience #PressureVessels #SCADA #PredictiveMaintenance #OilAndGas