Extrapolation of Extreme Pit Depths in Space and Time
Source abstract
Abstract
A four parameter model is proposed for data collected on maximum pit depths enabling simultaneous extrapolation into the future and over large areas of exposed metal. This model is based on the generalized extreme value distribution whose use in this context is here justified mainly on statistical, rather than metallurgical, reasoning. Those aspects of the model which allow for extrapolation in time rely on reported power law dependencies for mean pit depths. Use of the model for predicting means, standard deviations, percentiles, bounds, order statistics, hole counts, and size of perforated areas, is demonstrated, both in general and for a particular data set. Comparisons are made with other reported techniques.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Non-Destructive Testing Techniques · Fatigue and fracture mechanics · Structural Integrity and Reliability Analysis
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Affiliations
Department of Mathematics, University of Manchester Institute of Science and Technology, Manchester, England M60 1QD
References
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