Functionalization of a fatigue data
Ikai Yasushi; Tokuno Hisanobu; Nagai Muneki; Hattori Kenn
Abstract:Two functionalization techniques are applied to the fatigue data base edited by the Society of Materials Science, Japan. Among many data, 273 sets of S-N curves of rotary bending test data of steels in S-N forms, were chosen for functionalization, expecting better usage of a data base on three points; i) to estimate a S-N curve of a material whose test conditions or chemical composition is not included in the data base, ii) to express the reliability of data in terms of standard deviation, iii) to detect miss-inputted data. A S-N curve is expressed in three functions with 16 variables (twelve chemical components, radius of specimen, stress concentration factor, testing frequency and tensile strength). One of the functionalization technique is a statistical binary regression analysis, and the other is an interpolating technique in a higher dimensional space.