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

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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 remaining creep life of any power plant component. A procedure has been formulated to estimate the probability of failure vis-a-vis 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 °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 β, 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 β obtained using inverse CDF was evaluated with respect to measured β. 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.

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Acknowledgments

The authors are gratefully to the Director, CSIR-NML for providing kind permission to utilize the infrastructural facilities to carry out the experimental work. The financial support received from Science and Engineering Research Board to carry out the investigation is also gratefully acknowledged.

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Authors and Affiliations

  1. National Institute of Technology, Jamshedpur, 831014, India

    M. Sahu, J. Kumar & S. N. Singh

  2. CSIR-National Metallurgical Laboratory, Jamshedpur, 831007, India

    A. Ghosh & S. Palit Sagar

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  1. M. Sahu
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  2. A. Ghosh
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  3. J. Kumar
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Correspondence to A. Ghosh.

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Sahu, M., Ghosh, A., Kumar, J. et al. Probability Analysis in Predicting Creep Life of Power Plant Material Using High Power Ultrasound. J. of Materi Eng and Perform 33, 1760–1771 (2024). https://doi.org/10.1007/s11665-023-08113-y

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