Dataset of tensile properties for sub-sized specimens of nuclear structural materials

Li, Longze; Merickel, John W.; Tang, Yalei; Song, Rongjie; Rittenhouse, Joshua E.; Vakanski, Aleksandar; Xu, Fei

doi:10.1038/s41597-024-04329-2

Title: Dataset of tensile properties for sub-sized specimens of nuclear structural materials

Journal Article · 10 January 2025 · Scientific Data

DOI: https://doi.org/10.1038/s41597-024-04329-2 · OSTI ID:2519635

Li, Longze ^[1]; Merickel, John W. ^[2]; Tang, Yalei ^[2]; Song, Rongjie ^[2]; Rittenhouse, Joshua E. ^[2];

^[1]; Xu, Fei ^[2]

Univ. of Idaho, Moscow, ID (United States)
Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Mechanical testing with sub-sized specimens plays an important role in the nuclear industry, facilitating tests in confined experimental spaces with lower irradiation levels and accelerating the qualification of new materials. The reduced size of specimens results in different material behavior at the microscale, mesoscale, and macroscale, in comparison to standard-sized specimens, which is referred to as the “specimen size effect.” Although analytical models have been proposed to correlate the properties of sub-sized specimens to standard-sized specimens, these models lack broad applicability across different materials and testing conditions. The objective of this study is to create the first large public dataset of tensile properties for sub-sized specimens used in nuclear structural materials. We performed an extensive literature review of relevant publications and extracted over 1,000 tensile testing records comprising 55 columns including material type and composition, manufacturing information, irradiation conditions, specimen dimensions, and tensile properties. The dataset can serve as a valuable resource to investigate the specimen size effect and develop computational methods to correlate the tensile properties of sub-sized specimens.

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 2519635

Report Number(s):: INL/JOU--24-78784-Rev000

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 12; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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