Issue 14

To res Th obt R E Tes F estimate the pectively. 1 ' R a f S     2 1 a R         e estimate of ained results SULTS AND ts with ratio l or the ra 7 s how t exponents o   m rt S e N           1 1 ' R f S N       parameters . P DISCUSSIO oading, -1 tio loading e he statistic b S a ( S a / M Dev CV Mod Goodm Gerb Walk Kwo B. Lo Table 4 : Equ f the Kwofi 1 R b  1 R b   and  was arameter E   Table 5 : Par NS qual -1, 11 sp ehavior of th MPa) 4 S rt (%) 4 ean 9.63 iation 5.46 (%) 5 Table 6 : S el Equat an er er fie bato da Silva et ations used to e and Walke accomplish Expected stimate Sta 0.407 1.453 ameters that c ecimens wer e estimated f 17 4 6.9 4 e+05 3.51 e+05 5.73 6.7 1 tatistic behavi ion to estima S S ar S alii, Frattura ed estimate the e r’s models,  ed using the value ndard error 0.019 0.084 haracterize Kw e used of sam atigue lives fo 40 4 9.4 52 e+05 1.99 e+04 4.92 6.3 0 or of fatigue li te the equiva 1 a ar m rt S        1 a ar m rt S        2 1 a R        S ar a S e         Integrità Struttu quivalent alter and  , resp Levenberg-M Confiden Estimate 0.346 1.187 ofie and Wal ple A and 2 r such stress 63 5 .1 57 e+05 8.03 e+02 2.63 .2 32 ves ( R = -1 ) - lent alternatin    2    1      m rt    rale, 14 (2010) nating stress. ectively, the arquardt m ce intervals Standard erro 0.468 1.720 ker’s models. 2 specimens level. 09 56 .2 63 e+04 9.38 e+04 * .7 * Sample A. g stress Eq 17-26; DOI: 10 Eqns. 21 an ethod [11]. T r of sample B 6 .3 e+03 uation (17) (18) (19) (20) .3221/IGF-ESIS. d 22 were u (21) (22) ab. 5 shows . The Tab. 6 14.02 21 sed, the and