Abstract
In the general problem of quantitative NDE, the majority of past approaches are based upon the questionable assumption that the dominant defect or flaw can be identified before the beginning of the main body of the analysis. This concept is fundamental to most (but not all) treatments of probabilistic failure prediction and accept/reject optimization. This oversimplification and associated logical tangles are obviated by a more comprehensive approach to defect characterization and probabilistic failure prediction, in which it is assumed in the pertinent stochastic models that the various significant types of defects occur in all possible numbers. In this paper, we present a version of such an approach that involves a single type of defect and a promising approximation methodology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Richardson, J.M. and Evans, A.G. (1980), “Accept/Reject Decisions and Failure Prediction for Structural Ceramics: Application to Failure from Voids,” J. Nondestructive Eval. 1,(1), 37–52.
Richardson, J.M. and Fertig, K.W. (1981), “Accept/Reject Decisions and Probabilistic Failure Prediction,” Proc. DARPA/AFWAL Review of Progress in QNDE, pp. 119–227.
Richardson, J.M. and Fertig, K.W. (1982), “Probabilistic Failure Prediction for Ceramics,” Rev. of Prog. in QNDE, Vol. 1, pp. 607–618, Plenum, New York.
Richardson, J.M. and Salvado’, C.A. (1984), “Inverse Problems Associated with Wave Propagation and Inhomogeneous Media: I. Many Parameterized Defects,” Wave Propagation in Inhomogeneous Media and Ultrasonic Evaluation, AMD-Vol. 62, Amer. Soc. of Mech. Engrs., New York.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1985 Plenum Press, New York
About this chapter
Cite this chapter
Richardson, J.M., Fertig, K.W. (1985). Analysis of Many-Defect Systems. In: Thompson, D.O., Chimenti, D.E. (eds) Review of Progress in Quantitative Nondestructive Evaluation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-9421-5_27
Download citation
DOI: https://doi.org/10.1007/978-1-4615-9421-5_27
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-9423-9
Online ISBN: 978-1-4615-9421-5
eBook Packages: Springer Book Archive