Abstract

A spreadsheet-based simplified and direct toughness scaling method to predict the temperature dependence of fracture toughness Jc in the ductile-to-brittle transition temperature region is proposed. This method uses fracture toughness test data and the Ramberg–Osgood exponent and yield stress at the reference temperature, and yield stress at the temperature in interest to predict Jc. The physical basis of the simplified and direct toughness scaling method is the strong correlation between Jc and yield stress. The simplified and direct toughness scaling method was validated for Cr–Mo steel Japan Industrial Standard SCM440 and 0.55% carbon steel Japan Industrial Standard S55C by comparing the simplified and direct toughness scaling prediction results with the median results of an experiment performed at four temperatures ranging from −55°C to 100°C and at three temperatures ranging from −85°C to 20°C, respectively. The simplified and direct toughness scaling method can predict Jc from both low to high temperatures, and vice versa. Thus, 12 and 6 predictions were made for each material. The prediction discrepancy for these 18 cases ranged from −50.4% to +25.8% and the average absolute discrepancy was 22.1%. These results were acceptable considering the large scatter generally observed with Jc. In particular, in case of predicting Jc at temperatures higher than the lowest temperature of −55°C for SCM440, the simplified and direct toughness scaling method predicted Jc more realistically than the American Society for Testing and Materials E1921 master curve approach. Although the simplified and direct toughness scaling method requires additional tensile test data compared with the master curve approach, the acceptable prediction accuracy at high temperatures seems beneficial because the mass and time required for tensile tests are admissible.

Highlights

  • Because this study aims to validate the simplified and direct scaling (SDS) method in the ductile-tobrittle transition temperature (DBTT) region, the test results at 2166°C were not included in these tables

  • master curve (MC) approach requires preliminary tests such as the Charpy impact test to select the fracture toughness test temperature so that this temperature is close to the desired reference temperature T0) and an arbitrary temperature can be selected as the reference temperature Tr, and (2) Jc at the temperature of interest Ti can be predicted by a simple spreadsheet calculations

  • The disadvantage of the Simplified and Direct Toughness Scaling (SDTS) method is that it requires tensile test results at Tr and Ti; it requires the R–O exponent n and sYS at Tr and sYS at Ti

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Summary

Introduction

To evaluate the structural integrity of deteriorated steel and cracked structures over time in the ductile-tobrittle transition temperature (DBTT) region, it is necessary to understand the following three characteristics of the fracture toughness Jc of the member, that is, (1) large temperature dependence The SDS method was validated for two materials in a wide temperature range, and the fracture load Pc was shown to be proportional to the inverse of the yield stress sYS in the DBTT region. A four-step spreadsheet-based method to predict the Jc temperature dependence using the yield stress as tensile test data is proposed and is referred to as the SDTS method. A situation is assumed in which the fracture toughness test data (median fracture load Pcr(med) and median of fracture toughness elastic and plastic contributions Jcrel(med) and Jcrpl(med)), yield stress sYSr, and R–O parameters (nr and s0r) at reference temperature Tr are known and the prediction of median fracture toughness Jci(med) at the temperature of interest Ti is considered. Considering the large scatter in Jc values, the proposed SDTS method seems to achieve prediction accuracy that is sufficient from an engineering viewpoint

Discussion
Conclusion
Findings
B E E’ J Jc
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