A surrogate model for the 3D prediction of in-service deformation in CANDU® fuel channels SR Prabhu, MD Pandey, N Christodoulou, BW Leitch Nuclear Engineering and Design 369, 110871, 2020 | 11 | 2020 |
A new Bayesian approach to derive Paris' law parameters from SN curve data SR Prabhu Structural Engineering and Mechanics, An Int'l Journal 69 (4), 361-369, 2019 | 6 | 2019 |
Computational modeling of in-reactor deformation in CANDU fuel channels SR Prabhu, MD Pandey, N Christodoulou Pressurized Heavy Water Reactors, 135-169, 2022 | 3 | 2022 |
Derivation of Paris’ Law Parameters from SN Curve Data: a Bayesian Approach SR Prabhu, Y Lee 2017 World Congress on Adv. Struct. Eng. Mech.(ASEM17), 2017 | 2 | 2017 |
An efficient method for probabilistic finite element analysis with application to contact assessment of CANDU fuel channels SR Prabhu, MD Pandey, N Christodoulou Nuclear Engineering and Design 387, 111609, 2022 | 1 | 2022 |
Development of Probabilistic Finite Element Models for Assessment of Deformation in CANDU Fuel Channels S Ramachandra Prabhu University of Waterloo, 2022 | | 2022 |
Identifying the random field properties of wall thinning due to flow-accelerated corrosion SR Prabhu, MI Jyrkama, MD Pandey | | |