TY - JOUR A1 - Wallin, Kim A1 - Baer, Wolfram T1 - Evaluation of Charpy-V transition curve fitting based on distribution-free statistical assessment N2 - A non-parametric, distribution-free, statistical assessment of 5 large Charpy transition curve data sets is used for the optimum fitting equations for smaller data sets. The assessment makes use of a combination of rank probability and binomial probability analysis of the data. The original non-parametric assessment method is improved by combining upper and lower bound binomial estimates, thus removing a bias that exists in the original method. The non-parametric assessment is not suitable as a standard method because it requires too many data points to give a reliable result. It is, however, ideal as a research tool to examine transition curve shape and scatter. Based on the assessment several recommendations for transition curve fitting can be made. KW - Mechanical Engineering KW - Mechanics of Materials KW - General Materials Science KW - Charpy Impact Test KW - Charpy Transition Curve PY - 2023 DO - https://doi.org/10.1016/j.ijpvp.2023.105079 SN - 0308-0161 VL - 206 SP - 1 EP - 13 PB - Elsevier B.V. AN - OPUS4-58635 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -