Description:
(abstract)Creep tests were conducted on weld joints under various welding conditions to investigate the relationship between welding parameters, HAZ shape, and creep performance. The creep life is strongly influenced by stress distribution in the fine-grained heat-affected zone (HAZ), which depends on the HAZ shape. A tandem Bayesian model was developed, combining a Gaussian process (predicting HAZ shape from welding parameters) and Bayesian linear regression (estimating creep life). Welding parameters such as number of layers, layer thickness, and heat input were optimized to find long-life conditions, achieving a creep life 1.8 times longer than the best initial case. Two additional conditions—standard and short-life—were also tested. Creep test results followed the expected trend: long > standard > short. The differences in HAZ shapes corresponded with the differences in creep life. This study demonstrates that creep life can be effectively controlled by optimizing welding conditions.
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Keyword: 2 1/4Cr-1Mo steel, Weld joint, Bayesian inference, Creep property, Welding condition, Heat affected zone, Inverse problem
Date published: 2026-01-30
Publisher: Springer Science and Business Media LLC
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Manuscript type: Publisher's version (Version of record)
MDR DOI:
First published URL: https://doi.org/10.1007/s40194-025-02288-9
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Updated at: 2026-06-17 10:25:10 +0900
Published on MDR: 2026-06-17 12:39:59 +0900
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