Sentence examples for size flaws from inspiring English sources

Exact(1)

This is likely due to the higher probability of encountering larger size flaws in larger specimens (Graybeal 2006; Ahlborn et al. 2008).

Similar(59)

The effect on the probability distribution of meso-scale (or element-level) strength from flaw density, flaw size distribution, flaw clustering, and strain rate are studied.

All comments must, out of historical necessity, concern involuntary rectal penetration, penis size, physical flaws or annoying mannerisms or defects.

The influence of the sizing is shown to affect both the population and size of flaws on the fiber surface by healing effects.

The key factor in producing UHPC is to improve the micro and macro properties of its mixture ingredients to ensure mechanical homogeneity, maximum particle packing density and minimum size of flaws (Schmidt et al. 2005; Vernet 2004; Shah and Weiss 1998; Wille et al. 2011; Shi et al. 2015).

Due to the uncertainties related to the flaw assessment parameters, such as flaw size, fracture toughness, loading spectrum and so on, the probability concept is preferred over deterministic one in flaw assessment.

In the nonlinear UT (NLUT), detection and size measurement of flaws are conducted via the frequency spectrum analysis of nonlinear ultrasonic waves which consist of higher- and sub-harmonic waves.

This technique has inherent limitations on the size of the flaws it can detect, so that existing cracks will go virtually undetected by the clinician.

Furthermore, small sample size, study design flaws or other biases may be more common reasons than true racial heterogeneity for the observed discrepancies between studies addressing genetic risks [ 64, 65].

4 15 However, evidence is emerging that some RCTs are biased and overestimate the magnitude of the effect size due to flaws in their design and/or reported study characteristics.

The surface and bulk flaw populations were characterised using a Hertzian indentation technique and a Griffith flaw size analysis of strength data.

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