MPa
SCF K
Isc
= 4.58 ± 0.16
(a)
26
CNB K
Ivb
= 4.60 ± 0.13
(a)
26
SEPB K
Ipb
= 4.58 ± 0.10
(a)
19
(a) Mean ± one standard deviation
This remarkable consistency of fracture toughness results for a single material confirms that the sharp-crack
methods contained within ASTM C 1421 have been “optimized” (Ref 9) such that genuine material variability
(e.g., billet-to-billet or batch-to-batch) can be discerned and quantified.
R-Curve Behavior at Ambient Temperature
R -curve behavior (i.e., increasing fracture resistance with crack extension, Fig. 3) for brittle materials, as
discussed briefly in the introduction, is often a result of interactions of the crack and microstructure. For
example, fracture process mechanisms as shown in Fig. 4 can be roughly divided into frontal and wake
mechanisms. But why measure R-curve behavior in brittle materials? The need to measure R-curve behavior
can include establishing the unequivocal starting point of the R-curve (i.e., intrinsic fracture resistance), R
o
, or it
can include determining the final steady-state fracture resistance, R
∞
, or it may include defining the behavior
between the extremes of the intrinsic and steady-state fracture resistance, R(c) which may also be a function of
crack shape, test specimen geometry, and testing parameters.
In metals, frontal mechanisms—specifically, plastic deformations in a region ahead of and near the crack tip—
are responsible for crack closure effects (Ref 38). For engineering analysis, elastic-plastic fracture-mechanics
concepts are usually applied, typically using K with a crack-size plasticity adjustment or the J-integral. It is
important to realize that R-curves are not material properties (unlike fracture toughness), but are instead related
to the testing conditions, including test rate and test specimen geometry (e.g., material thickness). Recently,
ASTM E 1820 “Standard Test Method for Measurement of Fracture Toughness” (Ref 16) was introduced as a
“unified” test method for fracture testing metals at room temperature. The test procedures of five other test
methods are contained in ASTM E 1820 to allow extraction of fracture resistance in terms of K, J, and crack-tip
opening displacement (CTOD) from a single test at room temperature. Three test specimens (similar to those
used in ASTM E 399) are described: SENB, compact tension (CT), and a disk-shaped compact tension (DSCT).
All require precracking, usually with cyclic loading, to promote fatigue crack initiation and propagation. Test
conditions and procedures are specific to the fracture parameter being measured. However, a compliance
method is described to establish in situ crack length during stable crack propagation.
ASTM E 1820 (Ref 16) was developed, and is appropriate, for measuring plane strain fracture toughness in
ductile metals but does not necessarily address the unique aspects of brittle solids. In addition, test specimens
are rather large, as are the notches, cracks, and precracks, presumably for ease of implementation as well as to
minimize the influence of dimensional variations on the repeatability and reproducibility of the fracture
resistance measurement.
Since the introduction of ASTM E 1820, standards-writing bodies worldwide have done little to introduce
standard R-curve test methods for brittle solids, particularly for advanced ceramics. Several possible
explanations exist for this:
• No single method for establishing R-curve behavior in brittle materials has stood out.
• No methodology has been established on how to use the measured R-curve behavior of brittle materials
(in engineering or materials design).
• It is not clear if current fracture toughness techniques really can establish the starting point of R-curve
behavior.
• R-curve behavior is not a material property because it is dependent on factors such as test specimen
geometry, crack history, test mode, and rate.
However, although no standardized test methods exist for R-curve behavior in brittle materials, many unique
and novel test methods have been reported. Often these methods focus on quantifying specific mechanisms
giving rise to R-curve behavior rather than measuring the R-curve itself. The following sections, while not