Probability Analysis in Predicting Creep Life of Power Plant Material Using High Power Ultrasound

Abstract

Nonlinear ultrasonic (NLU) has been established as an effective method for the non-destructive evaluation of power plant materials for various types of damage, including estimation of creep damage. However, the information obtained through NLU measurement may not be sufficient to predict either the failure probability or the remaining creep life of any power plant component. A procedure has been formulated to estimate the probability of failure vis-a-vis the creep life of power plant materials through a two-parameter Weibull analysis of NLU data. The investigation involved creep testing of P92 steel at 625 degrees C for three different applied stresses 120, 140, and 160 MPa. Subsequently, the extent of damage was estimated using Weibull distribution analysis from NLU parameter beta, measured in the same specimen at different interruptions. The variation in cumulative distribution function (CDF) and the damage accumulation rate with increased damage, were examined. Further, the behavior of predicted NLU parameter beta obtained using inverse CDF was evaluated concerning measured beta. Damage accumulation during creep deformation was confirmed through significant microstructural changes such as the growth and coarsening of precipitates, micro-crack formation, and their coalescence. Weibull distribution-based analysis established its potential as an alternative method for predicting the failure probability and life of power plant components under creep deformation from the NLU measurements.