Abstract
Material data are an essential input to all fracture and crack growth analysis; without applicable data analysis is not possible. Misinterpretation and misuse of data are major contributors to the acclaimed shortcomings of fracture mechanics, because the data interpretation problem is not a trivial one, especially where it concerns fatigue crack growth. The phrase: ‘data are data, and cannot be argued with’, is commonly misapplied. The statement may be true for the raw data, i.e. a load-COD curve, or a measured crack growth curve, but cannot be applied to the derived data, K c, K Ic, J R, and dα/dN — ΔK. The latter are obtained from the raw data through an interpretation process full of assumptions such as the data reduction procedures stipulated in the relevant ASTM specifications [1–5]. Although these reduction procedures are probably the best available, they are not indisputable.
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References
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© 1989 Kluwer Academic Publishers
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Broek, D. (1989). Data interpretation and use. In: The Practical Use of Fracture Mechanics. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2558-8_7
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DOI: https://doi.org/10.1007/978-94-009-2558-8_7
Publisher Name: Springer, Dordrecht
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