February AMP_Digital

A D V A N C E D M A T E R I A L S & P R O C E S S E S | F E B R U A R Y / M A R C H 2 0 1 9 2 9 instructions on how to use the software and input data requirements for analy- sis (Fig. 3). Figure 4 shows an example of the normalization function fitting and the final J-R curve from the soft- ware. In addition, the software per- forms data qualification analysis based on sections A9.9 and A9.10 in ASTM E1820-18. Software outputs include cal- culated crack sizes, J-R curve results ( J q , K Jq , tearing mod- ulus [9] , etc.), fitting constants in Eq. (3), etc., in the text file format. The complete software user guide is available in Ref 8. MANUAL ANALYSIS VERSUS SOFTWARE RESULTS To verify that the automated J-R curve analysis software yields val- id J-R curve results, the authors com- pared the software results with results from the manual analysis based on the ASTM E1820 normalized method. The sampling dataset for the compar- ison includes 50 tests covering C(T), DC(T), SEB(LLD), and SEB (CMOD) spec- imen geometries; a testing temperature range from 23° to 700°C (73° to 1290°F), and various materials including stain- less steels, Ni-base alloys, and ferritic- martensitic steels. Figure 5 compares Fig. 3 — J-R curve analysis software instruction pop-up window. Fig. 4 — J-R curve analysis software yields the normalization function fitting (a) and final J-R curve (b). Fig. 5 — Comparison of J-R curve derived J q results (a) and tearing modulus results (b) between software andmanual analysis methods. (a) (b) (a) (b)