# ps5p1 - Mata cm; ﬁ>mﬂlm 4.0 dawn/{Ma m mam a?th...

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Unformatted text preview: Mata cm; ﬁ>mﬂlm 4.0 dawn/{Ma m mam a?th Déuuiug gm {Mﬂgg f~€£2r€m (1,515.“ _ W. 5:- ES” 09' gm S 9 ‘3" Q03 3 254 €0.7_ ' 265 Define the data for the probability of survival to be 0-6 273 S and define the data for the applied stress to be S — 0'5 . U — 2335 sigma. Exclude the endpoints where the ' probability of survival is 1 and 0, so that there are 0‘4 f 285-5 i only 9 points total. 0.3 E2875 3 7— MDW miemamj ,sm could g0.2 '2915 N '2 9 PW» *5“! 5W1 mini) 3-. oss 112‘; 90.1 301 '5‘: 132/ 5:035 0* G=Z=l2MFsre+a Define a loop from i = O to 8 and calculate vectors containing ln(stress) and ln(-ln(S)). Ni '1 8 i .— O..Ni x- = lnfﬁii yi = 111:: 4115312. I 1 . . Use a least squared error method to fit the data to a line, y = mx + b Ni 1 NI Ni :1: XI 3’1 _ ﬁ' if KI y] N' N1 '— — = \ \‘ m : j—O ]-U_ "j" (J H y] m L xl Ni 1 N1 Ni b J: 0 I; = 0 V . _ _.. . . . ‘ — 4: xi xi N Z x] 2 xi N j: 0 l: 0 j: 0 Plot the results. The red dots show the :1wengfgghzgﬁﬁg’Iéﬁnigfi 3t whlch 8 data and the blue dashed line shows the _ ' least squares fit. b _ 2 1 :: G” 3: cm M135 9' Define the resulting survival function 6 yl 0 _ , g? ' g s «0 ¢ " [ x m E m-xi b ' 9 ' ' 0 - __ _ 2: u _ survi'lxﬁ — e #0 — _4E_.. I +m| .:I 5.4 5.5 5.6 5.7 5.3 "i in [sigma(MPa)} E: surviva 5: Si Plot the survival function and the - - ' original data 0 200 400 XX. U. I applied stress (M1321) I... _ .EE ZBbM?) 'e a : 0.5 g rm magma) — n32.405- I 6 : 2%Bm?a 39M 0.5T“ .f (:3) 5‘ &- QvQM’eM-‘r VDKMMPS VJ Mé V2- v0 62;.) 3 €<§D> EEG-{WM Midf- Era: 61 Elva. «G? and; . 1" ...
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## This note was uploaded on 07/17/2008 for the course MSE 564 taught by Professor Anderson during the Winter '08 term at Ohio State.

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ps5p1 - Mata cm; ﬁ>mﬂlm 4.0 dawn/{Ma m mam a?th...

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