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PUBLICATIONS

NIST Software Package for Obtaining Charpy Transition Curves

Published

Author(s)

Enrico Lucon, Jolene D. Splett, Amanda Koepke, David Newton

Abstract

NIST has developed a software package that allows users to fit test results obtained from Charpy or toughness tests as a function of test temperature, thereby obtaining so-called transition curves. Non-linear fitting is available for five regression models, two symmetric and three asymmetric, selected from the literature. The NIST software package includes: an Excel spreadsheet to establish initial values for model parameters, allowing users to obtain meaningful results for the asymmetric models, a Shiny App (web-based interface for R code) that provides an advanced analysis, including confidence bounds and uncertainties for the estimated parameters, and a macro-enabled Excel spreadsheet for a basic-level analysis (regressions curves, characteristic temperatures, and model selection statistics). Example data sets are also included in the NIST software package. The NIST software is tested on three Charpy absorbed energy datasets. Two datasets correspond to actual impact test results performed on various pipeline steels, while the third is a simulated dataset generated from predetermined model parameters. These datasets allow a thorough demonstration of the NIST software. The software is freely available to the scientific community for research purposes.
Citation
Technical Note (NIST TN) - 2158
Report Number
2158
NIST Pub Series
Technical Note (NIST TN)
Pub Type
NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.TN.2158
Local Download

Keywords

Charpy testing, confidence bounds, non-linear fitting, parameter uncertainties, toughness tests, transition curves
Metals, Mechanical properties, Materials characterization and Materials

Citation

Lucon, E. , Splett, J. , Koepke, A. and Newton, D. (2021), NIST Software Package for Obtaining Charpy Transition Curves, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.TN.2158, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932338 (Accessed April 27, 2024)

Created May 11, 2021, Updated November 29, 2022