Effects of test specimen geometry on creep behaviour of 12Cr steel in miniaturised disc bend tests

2003 ◽  
Vol 19 (12) ◽  
pp. 1771-1776 ◽  
Author(s):  
B. Ule ◽  
R. Sturm ◽  
V. Leskovšek
Author(s):  
Greg Thorwald ◽  
Ken Bagnoli

Abstract The objective of this paper is to use two-parameter fracture mechanics to adjust a material J-R resistance curve (i.e. toughness) from the test specimen geometry to the cracked component geometry. As most plant equipment is designed and operated on the “upper shelf”, a ductile tearing analysis may give a more realistic assessment of flaw tolerance. In most cases, tearing curves are derived from specimen geometries that ensure a high degree of constraint, e.g., SENB and CT Therefore, there can be significant benefit in accounting for constraint differences between the specimen geometry and the component geometry. In one-parameter fracture mechanics a single parameter, K or J-integral, is sufficient to characterize the crack front stresses. When geometry dependent effects are observed, two-parameter fracture mechanics can be used to improve the characterization of the crack front stress, using T-stress, Q, or A2 constraint parameter. The A2 parameter was be used in this study. The usual J-R power-law equation has two coefficients to curve-fit the material data (ASTM E1820). The adjusted J-R curve coefficients are modified to be a function of the A2 constraint parameter. The measured J-R values and computed A2 constraint values are related by plotting the J-R test data versus the A2 values. The A2 constraint values are computed by comparing the HRR stress solution to the crack front stress results of the test specimen geometry using elastic-plastic FEA. Solving for the two J-R curve coefficients uses J values at two Δa crack extension values from the test data. A closed-form solution for the adjusted J-R coefficients uses the properties of natural logarithms. The solution shows the adjusted J-R exponent coefficient will be a constant value for a particular material and test specimen geometry, which simplifies the application of the adjusted J-R curve. A different test specimen geometry can be used to validate the adjusted J-R curve. Choosing another test specimen geometry, having a different A2 constraint value, can be used to obtain the adjusted J-R curve and compare it to the measured J-R curves. The geometry of the component is also expected to have a different A2 constraint compared to the material test specimen. The example examined here is an axial surface flaw in a pipe. The A2 constraint for an axial surface cracked pipe is computed and used to obtain an adjusted J-R curve. The adjusted J-R curve shows an increase in toughness for the pipe as compared to the CT measured value. The adjusted J-R curve can be used to assess flaw stability using the driving force method or a ductile tearing instability analysis.


2007 ◽  
Vol 344 ◽  
pp. 135-142 ◽  
Author(s):  
Paulo Flores ◽  
Félix Bonnet ◽  
Anne Marie Habraken

This article shows the influence of a plane strain test specimen geometry on the measurable strain field and the influence of free edge effects over the stress computation. The experimental strain field distribution is measured over the whole deformable zone of a plane strain test specimen by an optical strain gauge. The chosen material is the DC06 IF steel of 0.8 mm thickness. The stress field is computed for several geometries at different strain levels by a Finite Element (FE) commercial code (Samcef ®). The results show that the stress field is sensitive to the specimen’s geometry and also to the tested material (strain field behavior is independent of material) and, based on results, an optimal specimen geometry is proposed in order to minimized the stress computation error.


2008 ◽  
Vol 94 (13) ◽  
pp. 9-16
Author(s):  
Normando P. Barbosa ◽  
Salustiano M.S. Alves ◽  
Sandro Marden Torres ◽  
Ulisses Targino Bezerra

CORROSION ◽  
2000 ◽  
Vol 56 (9) ◽  
pp. 921-927 ◽  
Author(s):  
M. Leban ◽  
V. Doleček ◽  
A. Legat

Abstract Electrochemical noise measurements were performed on electrodes made from a sample of AISI 304 (UNS S30400) stainless steel. Potential and current noise were measured under open-circuit conditions in a three-electrode system, one of the electrodes being maintained under load and acting as a working electrode. Two types of electrode set-ups were used, which differed according to the method of load application. In the first case, the common electrode was a U-bend test specimen, which was subjected to a static, large, but undefined load. In the second case, it was a tensile test specimen, which was subjected to a gradually increasing load (the slow rate load test [SRLT]). U-bend tests were performed in a concentrated solution of magnesium chloride (MgCl2) at an elevated temperature, test specimens being dismantled and examined daily through a microscope. SRLT were conducted in a dilute solution of sodium thiocyanate (NaSCN) at room temperature, with simultaneous electrochemical noise (ECN) and load/elongation measurements. Toward the end of both types of tests, significant simultaneous spikes of voltage and current noise were observed. The spikes detected during SRLT correlated with drops in the applied load and sudden increases in elongation. After the tests were completed, several characteristic ECN time series, referring to both types of test specimen, were subjected to spectral and chaos analysis. Attempts to distinguish between the active cracking and nonactive cracking periods on the basis of the aforementioned types of analysis were unsuccessful since, in the case of the U-bend tests, the events that are typical for stress corrosion cracking (SCC) processes were too rare. In the case of the SRLT, the ECN time series were not stationary, which is a necessary condition for a successful outcome of such analyses.


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