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TTERWORTH
I N E M A t q ~
Int. J, Fatigue Vol, 17, No. 5, pp. 365-373, 1995
Copyright © 1995 Elsevier Science Limited
Printed in Great Britain. All rights reserved
0142-1123/95/$10.00
D e t a i l e d e v a l u a t i o n o f m e t h o d s f o r e s t i m a t i o n
o f f a t i g u e p r o p e r t i e s
J u n - H y u b P a r k a n d J i - H o S o n g
Departmen t of Auto ma t ion and Design Engineering, Korea Advanc ed Inst itute of
Science and Technology, 207-43, C heongry angri-dong, Dongdaem un-gu, Seoul,
Korea
Received 7 Nov emb er 1994)
Using extensive experimental strain-life curve data on 116 steels, 16 aluminium alloys and six titanium
alloys, nearly all methods currently available for estimation of fatigue properties from simple tensile
data are discussed in detail. The four-point correlation method, the universal slopes method, Mitchell's
method, the modified universal slopes method, the uniform material law by Bgumel and Seeger. and
the modified four-point correlation method by Ong are evaluated in a quantitative manner by using
new criteria proposed in this work, along with conventional error criterion. The modified universal
slopes, Seeger's and Ong's methods give good life predictions. Among them, the modified universal
slopes method provides best results.
( Key wo rd s: f a t ig u e p ro p er ti e s; f a t ig u e l i f e p red ic t io n ; e s t im a t io n
method; simple
t en s i l e d a ta ; e v a lu a t io n cr i t er ia )
Fatigue analysis is very important in the design
of mechanical structures and components. Fatigue
properties o f materials are essential for fatigue analysis.
Fatigue properties such as stress-life
( S - N )
or
strain-life (e-N) curves are usually obtained by
performing fatigue tests. However, as fatigue testing
requires a lot of time and effort, there have been
many attempts to estimate fatigue properties from
simple tensile data.
Manson ~ first proposed two me thods , the four-point
correlation method and universal slopes method, to
estimate the strain-life curve composed of the plastic
and elastic lines on a log-log scale, using only
tensile data. Mitchell-~ has proposed another meth od,
particularly suitable for steels. Recently, B~iumel and
Seeger. 3 have proposed a new m ethod, the uniform
material law. In contrast, Ong 4 has proposed a modified
four-point correlation method.
The universal slopes method, in which the slopes of
the plastic and elastic lines are universalized as -0.6
and -0.12 respectively for all materials, has been
widely used for its simplicity and ease of application.
However, the method tends to produce overconserv-
ative estimates of life in the very high cycle life range.
To improve the original universal slopes method,
Muralidharan and Manson5 have proposed a new,
modified universal slopes method.
The assumption that the slope of the plastic
strain-life relationship (the plastic line) on a log-log
plot is almost constant for all materials is relatively
well accepted. However, the slope of the elastic
strain-life relationship (the elastic line) has been
frequently observed to vary over a relatively wide
range and to be material-dependent. Considering this
material dependence, Mitchell proposed a method to
estimate the slope of the elastic line from the tensile
strength of material.
The uniform material law proposed by Baumel and
Seeger. has been derived from a large amount of
fatigue data collected by them. This method may be
said to be a kind of universal slopes method, which
assigns di fferent slopes to una lloyed and low-alloy steels
and to aluminium and ti tanium alloys respectively. One
advantage of the method is that only the tensile
strength of the material is needed for estimation of
the strain-life curve, in contrast to other methods,
which also require the data of the reduction in area
or the fracture ductility of the material. Using the
fatigue data collected by them, they checked the
prediction capability of the uniform material law and
the modified universal slopes method. They found
that both methods showed larger deviations between
the predicted and experimental results for aluminium
and titan ium alloys and for high-alloy steels, compared
with unalloyed and low-alloy steels.
Quite recently, Ong 6 has evaluated three commonly
used methods, the four-point correlation method, the
original universal slopes method and Mitchell's method
(or the method proposed by Socie e t a l . ) , and found
that the four-point correlation method and the original
universal slopes meth od give satisfactory results, while
Mitchell's method gives inferior predictions. Moreover,
he proposed a new, modified four-point correlation
method to improve the original four-point correlation
method. However, the data used for the evaluation
were not actual experimental data but calculated values
from the fatigue properties of materials provided in
the
A S M M e t al s H a n d b o o k 7.
365
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3 6 6
Jun-Hyub Park and J i -Ho Song
T h o u g h m a n y u s e fu l e s ti m a t i o n m e t h o d s h a v e b e e n
p ro p o s e d a s d e s c r i b e d a b o v e , t h e r e i s l i t t l e w o rk t o
e v a l u a t e t h e m e x t e n s i v e l y , p a r t i c u l a r l y u s i n g a c t u a l
e x p e r i m e n t a l l y o b t a i n e d d a t a o n a v a r i e ty o f m a t e r ia l s .
T h e i m p o r t a n c e o f f a t i g u e d a t a h a s b e e n e m p h a s i z e d
r e c e n t l y i n se v e r a l r e m a r k a b l e f a t i g u e d a t a b o o k s ,
c o n t a i n i n g a l a rg e a m o u n t o f e x p e r i m e n t a l f a t i g u e d a t a
f o r a b r o a d r a n g e o f m a t e r i a l s , p u b l i s h e d i n J a p a n
a n d G e r m a n y .
In t h i s w o rk , u s i n g t h e a c t u a l f a t i g u e d a t a a v a i l a b l e
i n f a t i g u e d a t a b o o k s , t h e p r e d i c t i v e a c c u ra c y o f a l l
t h e e s t i m a t i o n m e t h o d s d e s c r i b e d a b o v e i s d i s c u s s e d .
I n g e n e r a l , t h e a c c u r a c y o f t h e e s t i m a t i o n m e t h o d s
h a s b e e n e v a l u a t e d i n t e r m s o f t h e e r r o r o r d e v i a t i o n
o f th e p r e d i c t e d v a l u e s f r o m t h e a c t u a l o n e s . H o w e v e r ,
i t s e e m s t h a t t h e e r ro r c r i t e r i o n o n i t s o w n i s n o t
a l w a y s s u f f i c i e n t f o r d e t a i l e d d i s c u s s i o n o f e s t i m a t i o n
m e t h o d s . S o m e a d d i t i o n a l c r i t e r i a a r e p r o p o s e d i n t h i s
w o r k t o e x a m i n e i n m o r e d e t a i l th e p r e d i c t i v e a c c u r a c y
o f e s t i m a t i o n m e t h o d s . A s t h e f a t i g u e d a t a u s e d
h e r e f o r d i s c u s s i o n o f e s t i m a t i o n m e t h o d s a r e a l m o s t
i n d e p e n d e n t f r o m t h e d a t a f r o m w h i c h t h e e s t i m a t i o n
m e t h o d s h a v e b e e n d e r i v e d , t h e c o n c l u s io n s o b t a i n e d
i n th i s w o r k m a y b e u n b i a s e d a n d h i g h l y r e l ia b l e .
M E T H O D S F O R E S T IM A T I O N O F F A T I G U E
P R O P E R T I E S F R O M T E N S I L E D A T A
T h e e s t i m a t i o n m e t h o d s t o b e d i s c u s s e d i n t h i s w o r k
a re b r i e f l y e x p l a i n e d b e l o w .
O r i g i n a l f o u r - p o i n t c o r r el a ti o n m e t h o d b y M a n s o n 1
T h e s t r a i n - l i f e r e l a t i o n i s u s u a ll y e x p r e ss e d a s t h e
s u m o f t h e e l a s t i c a n d p l a s t i c l i n e s o n a l o g - l o g s c a l e
as fo l lows :
A ~ = A ~ . e ~ A ~ . p = C ~ N } + C p N 'f (1 )
w h e r e A e , A ~ a n d A % a r e t h e t o t a l , e l a st ic a n d p l a s ti c
s t r a i n s r e s p e c t i v e l y , a n d N f i s t h e n u m b e r o f c y c l e s t o
f a i l u r e . I n t h e o r i g i n a l f o u r - p o i n t c o r r e l a t i o n m e t h o d ,
t h e c o e f f i c i e n t s C ~ , b , C p , c o f Eq u a t i o n (1 ) a r e
c a l c u l a t e d u s i n g t h e f o u r p o i n t s , P 1 - P 4 , l o c a t e d o n
t h e e l a s t i c a n d p l a s t i c l i n e s a s s h o w n i n F i g u r e 1 .
E v e r y p o i n t i s d e t e r m i n e d f r o m t e n s i l e d a t a : t h e t r u e
f r a c t u r e s t r e s s ~ r f , t h e t e n s i l e s t r e n g t h 0% a n d t h e
f r a c t u r e d u c t i l i t y e l . A e * i n t h e f i g u re i n d i c a t e s t h e
F i g u r e 1
- - + _ c
~a
i pl a%}cp.~
Ae~ = A ~
I ~ 1 p 4 ~ , ~ I ~
10 0 ..L 101 10 2 10 3 10 4 10 5
4
Num ber of cycles to failure, Nf
Four-point correlation method by Manson
v a l u e o f e l a s t i c s t r a i n a t N f = 10 4 c y c l e s o n t h e e l a s t i c
l ine .
As the t rue f rac tu re s t res s ~rf i s no t a lwa ys g iven in
t h e l i t e r a t u r e , M a n s o n ~ r e c o m m e n d e d t h e f o l l o w i n g
a p p r o x i m a t i o n s u g g e s t e d b y J . O ' B r i e n :
trf = ~r~(1 + El) (2)
O r i g i n a l u n iv e r s a l s l o p e s m e t h o d b y M a n s o n ~
In t h i s m e t h o d , t h e c o e f f i c i e n t s
C ~ , b , C p , c
o f
Eq u a t i o n (1 ) a r e a s g i v e n i n t h e fo l l o w i n g e q u a t i o n :
Ae = Ae~ + Aep = 3 . 5 E
N ( ° . '2 + o-° f.~N~ ,~ '
(3 )
M e t h o d b y M i t c h e l F
I n t h i s m e t h o d , t h e s t r a i n - l i f e r e l a t i o n i s e x p r e s s e d
u s i n g t h e s t r a in a m p l i t u d e A e / 2 a n d t h e n u m b e r o f
r e v e r s a l s 2 N f a s
A~ = Aee + Aep
2 2 2
: tyf (2N f)h + e~ (2N f) c
E
(4 )
w h e re ~ } i s t h e f a t i g u e s t r e n g t h c o e f f i c i e n t , b i s t h e
f a t i g u e s t r e n g t h e x p o n e n t , e } i s t h e f a t i g u e d u c t i l i t y
c o e f f i c i e n t a n d c i s t h e f a t i g u e d u c t i l i t y e x p o n e n t . Th e
e q u a t i o n is r e p r e s e n t e d g r a p h i c a ll y in
F i g u r e 2 . 2 N ,
in
t h e f i g u re i s t h e t r a n s i t i o n f a t i g u e l i f e a t w h i c h t h e
e l a s t i c a n d p l a s t i c l i n e s i n t e r s e c t . M i t c h e l l s u g g e s t e d
t h a t f o r s t e e l s w i t h h a r d n e s s b e l o w 5 0 0 B H N ,
~ ~ ~rf
= a u +
50 (ks i )
= ~ u + 3 4 5 (M P a )
(5)
o
-
1o
b =
log ( lO o ) - log ( lO 6 )
i log 2 (o '~ + 345)
= - ~ l o g = - a
~' \ trB / [ O-B J
(6 )
~5
" 0
e'~
F i g u r e 2
reversals
] A £ ¢ O f ~ b
t I
l0 0 2Nt 10 6 107
Num ber of reversals to failure,~d',lf
Representation of strain amplitude versus num ber of
to failure
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Detailed evaluation of methods for estimation of fat igue propert ies
3 6 7
6 ~ e f = I n 1 0 R A
w h e r e R A i s t h e p e r c e n t a g e r e d u c t i o n i n a r e a .
H e f u r t h e r r e c o m m e n d e d c o n s t r u c t i n g t h e p l a s t i c
l in e u s in g a n e m p i r i c a l r e p r e s e n t a t i o n o f t h e h a r d n e s s
v e r s u s t r a n s i t i o n f a t i g u e l i f e 2 N t , i n s t e a d o f u s i n g a
s p ec i fi c v a l u e o f c. H o w e v e r , a s t h e h a r d n e s s - t r a n s i t i o n
l i f e d a t a a r e n o t a l w a y s r e a d i l y a v a i l a b l e , a c o n s t a n t
v a l u e o f c = - 0 . 6 , w h i c h is r e g a r d e d a s a n a v e r a g e
v a l u e o f c f o r a l m o s t a l l m a t e r i a l s , m a y b e a s s i g n e d
t o t h e s l o p e o f t h e p l a s t i c l i n e , f o r c o n v e n i e n c e .
T h e r e s u l t i n g e q u a t i o n w i l l b e
A t E _ _ A e c - ~ A ~ p
9 ~ - 2 2
[ -2( o-B + 3 4 5
- ]
(orB + 3 4 5 ) -U ° g l ~
[
= E (2 N f ) 6
L
+ ~ , ( 2 N , ) " ~ ( 8 )
T h i s w il l b e h e r e a f t e r r e f e r r e d t o a s M i t c h e l l 's e q u a t i o n .
M o d i f ie d u n i v e r s a l s l o p e s m e t h o d b y M u r a l i d h a r a n
a n d M a n s o n 5
A s w a s b r ie f l y m e n t i o n e d i n t h e i n t r o d u c t i o n , t h i s
m e t h o d h a s b e e n p r o p o s e d t o i m p r o v e t h e o r i g i n a l
u n i v e r s a l s l o p e s m e t h o d , a n d e x p r e s s e s t h e s t r a i n - l i f e
r e l a t i o n a s
[ O.B \ 0 . 8 3 2
A e = 1 .1 7 [ / ~ ) U ~ ° '° 9
/ O " \ - ( I . 5 3
1 55 B
+ 0 . 02 6 6 ~ I - E ) N ? ° 5 6 ( 9 )
T h i s m e t h o d p r o v i d e s l o w e r u n i v e r s a l i z e d s l o p e s f o r
t h e e l a s t i c a n d p l a s t i c l i n e s t h a n t h e o r i g i n a l m e t h o d .
T h e crB/E t e r m i s n e w l y i n t r o d u c e d i n t o t h e c o e f f i c i en t
o f t h e p l a s t i c l i n e , i n d i c a t i n g t h a t t h e t e n s i l e s t r e n g t h
o f th e m a t e r i a l a l s o h a s a m a r k e d e f f e c t o n t h e l if e in
t h e l o w -c y c l e f a t i g u e .
U n i f o r m m a t e r i a l l a w b y B i i u m e l a n d S e e g e r 3
I n t h i s m e t h o d , t w o d i f f e r e n t e x p r e ss i o n s f o r s t r a in
v e r s u s l if e a r e u s e d f o r u n a l l o y e d a n d l o w - a l l o y s t e e ls
a n d f o r a l u m i n i u m a n d t i t a n i u m a l l o y s a s f o l l o w s .
F o r u n a l l o y e d a n d l o w - a l l o y s t e e l s :
A e - - A ~ e -{ - A E p
2 2 2
. . . . - E - \ ~ , , f ]
- b 0 . 5 9 t ~ 2 N f ) - ° 5 8
w h e r e
( l O )
O"B
- - < ~ 0 . 0 0 3 , 0 = 1
E
O'BE > 0 .0 03, 0 = 1 .375 - 1 2 5 .0 ~
F o r a l u m i n i u m a n d t i t a n i u m a l l o y s :
A e = Ae~ + A %
2 2 2
Th e s l o p e s o f t h e e l a s t i c a n d p l a s t i c l i n e s fo r s t e e l s ,
- 0 . 0 8 7 a n d - 0 . 5 8 , a r e v e r y c lo s e t o th e v a lu e s - 0 . 0 9
a n d - 0 . 5 6 i n t h e m o d i f i e d u n i v e r s a l s l o p e s m e t h o d .
H o w e v e r , t h e s l o p e o f th e p l a s ti c li n e f o r a l u m i n i u m
a n d t i t a n i u m a l l o y s , - 0 . 6 9 , i s r a t h e r s t e e p .
M o d i f i e d fo u r - p o i n t c o r r e la t io n m e t h o d b y O n g 4
T o i m p r o v e t h e o r i g i n a l f o u r - p o i n t c o r r e l a t i o n
m e t h o d , t h i s m e t h o d u s e s t h e f o u r p o i n t s P I ' - P 4 '
s h o w n i n F i g u r e 3 , i n s t e a d o f t h e f o u r p o i n t s P 1 - P 4
in F i g u r e 1 . Th e s t r a i n - l i f e r e l a t i o n i s g i v e n a s
Ae Ae~ + Aep
-- = - __
2 2 2
= u f (2 N f )b + ~ f (2 N f )c
E
w h e r e
b ~ { l o g [ t ( r \ ' " 8 ' -
= 0 1 6 t ]
(1 2 )
c = log 2~074 - log ( e , )
cr B 0 .81 t r l , -
Th e v a l u e o f u f i s n e e d e d a l s o in t h is m e t h o d a s i n
t h e o r i g in a l f o u r - p o i n t c o r r e l a t io n m e t h o d . O n g h a s
n o t e d t h a t t h e v a l u e o f (re c a n b e a p p r o x i m a t e d b y
E q u a t i o n ( 2 ) .
F A T I G U E D A T A F O R D I S C U S SI O N O F
E S T I M A T IO N M E T H O D S
T h e f a t i g u e d a t a u s e d a r e s t r a i n - l i f e d a t a o b t a i n e d
t h r o u g h f a t i g u e te s t i n g , w h i c h a r e c o n t a i n e d m a i n l y in
t h e d a t a b o o k s , t h e J S M E D a t a B o o k : F a t ig u e o f M e t a ls
IV 8 a n d M a t e r i a ls D a t a f o r C y c l ic L o a d i n g b y S e e g e r
a n d o t h e r s 3 '9 . I n p a r t i c u la r , w e h a v e u s e d t h e d a t a
o b t a i n e d u n d e r t h e s o - c a l l e d n o r m a l t e s t i n g c o n d i t i o n :
t h a t i s , o n p o l i s h e d s m o o t h o r h o u r g l a s s - t y p e s p e c i m e n s
t e s t e d i n a i r a t r o o m t e m p e r a t u r e u n d e r a x i a l l o a d i n g
.@ E
pi
10 10 106
Num ber of reversals to failure,2Nf
= 1 1 u t ~ - I z . ,z v f g c ' l O ' B [ ' 3 1 ~
--(I.095 q'- 0.3 5( 2N r) -° '69 (11 ) Figure 3 Modified four-point correlation me thod by Ong
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3 6 8
J u n H y u b P a r k a n d J i H o S o n g
at a s t r e s s r a t i o o f R ,~ ( = O m a x / O m i n ) = - - i o r a s t r a i n
r a ti o o f R~ ( = e m a Je r, i , ) = - - 1 . R u n - o u t d a ta a r e
e x c l u d e d . F u r t h e r , o n l y t h e d a t a o n m a t e r i a l s w i t h
b o t h d a t a o f t e n s i l e s t r e n g t h o -B a n d p e r c e n t r e d u c t i o n
i n ar e a R A ( o r f r a c t u r e d u c t i l i t y e l ) a r e u t i l i z e d .
T h e d a t a u s e d a r e l i s t e d i n Ta b l e 1 c l a s s i f i e d b y
d a ta s o u r c e s a n d m a t e r ia l s . T h e t o t a l n u m b e r o f
e - N
c u r v e s i s 3 1 5 a n d t h e t o t a l n u m b e r o f e x p e r i m e n t a l
s t r a i n - l i f e d a t a p o i n t s i s 2 7 1 7 o b t a i n e d o n 1 3 8 m a t e r i a ls .
F o r c o n v e n i e n c e , e a c h i n d i v id u a l s t r a i n - l i f e d a t u m i s
r e f e r r e d t o a e - N d a t a p o i n t , a n d a s e t o f ~ - N d a t a
p o i n t s f o r m i n g a n E - N c u r v e i s h e r e a f t e r r e f e r r e d t o
a ( E - N ) d a ta s e t . T o a p p l y s u c c e s s f u l ly t he e v a l u a t i o n
c r i t e r i a t o b e p r o p o s e d l a t e r , d a t a s e t s t h a t c o n s i s t o f
l e s s t h a n f o u r d a t a p o i n t s a r e n o t c o n s i d e r e d i n
t h e d i s c u s s i o n . W h e n n e e d e d , t h e v a l u e o f ~ rf i s
a p p r o x i m a t e d b y E q u a t i o n ( 2 ) .
C R I T E R I A F O R E V A L U A T I O N O F
E S T I M A T I O N M E T H O D S
A c r i te r i o n m o s t f r e q u e n t l y u s e d i s th e e r r o r c r i t e r io n ,
w h i c h e v a l u a t e s t h e p r e d i c t i v e a c c u r a c y o f a n e s t i m a t i o n
m e t h o d i n t e r m s o f t h e f r a c t i o n o f d a t a f a l l i n g w i t h i n
a s c a t te r b a n d o f a s p e c i f i e d f a c t o r s a s f o l l o w s :
N u m b e r o f d a t a fa l l in g w i t h i n
T h e e x p e r i m e n t a l v a l u e ~< s
T o t a l n u m b e r o f d a t a ( 1 3 )
T h e r e i s a p r o b l e m i n h e r e n t i n t h e c r i t e r i o n ,
a s i l l u s t r a t e d b e l o w . A s s u m e t h a t t h r e e d i f f e r e n t
e s t i m a t i o n m e t h o d s p r o v i d e t h r e e d i f f e r e n t l i f e p r e d i c -
t i o n s , a s s h o w n i n
F i g u r e 4
w h e r e N p a n d N e a r e t h e
p r e d i c t e d a n d e x p e r i m e n t a l l i v e s r e s p e c t i v e l y . T h e
v a l u e s c a l c u l a t e d b y E q u a t i o n ( 1 3 ) a r e a l l t h e s a m e
f o r t h e th r e e m e t h o d s . H o w e v e r , a s ca n b e e a s il y
f o u n d , m e t h o d C c a n h a r d l y e x p l a i n t h e e x p e r i m e n t a l
r e s u l t s a n d m e t h o d B m a y b e e x p e c t e d t o g i v e s u p e r i o r
p r e d i c t i o n s t o m e t h o d A f o r a w i d e r r a n g e o f l if e .
T h i s d r a w b a c k in t h e e r r o r c r i t er i o n m a y b e o v e r c o m e
b y c o n s i d e r i n g t h e l i n e a r r e l a t i o n s h i p b e t w e e n t h e
p r e d i c t e d a n d e x p e r i m e n t a l l i v e s i n t h e f o l l o w i n g
m a n n e r .
I f th e r e l a t io n s h i p b e t w e e n t h e p r e d i c t e d a n d e x p e r -
i m e n t a l l i v e s i s a p p r o x i m a t e d b y a l e a s t - s q u a r e s l i n e
as
l o g ( 2 N p )
= a + N o g ( 2 N , . ) ( 1 4 )
10
~ Method
MethodA / /
/
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. i l i
Method C //~/' NP = I' Nf
10
E x p e r i m e n t a l l i f e ,
Nf 109
F i g u r e 4 I l l u s t r a ti o n o f d r a w b a c k i n h e r e n t i n t h e e r r o r c r i t e r i o n
T a b l e 1 Data u s e d f o r c o m p a r i s o n o f e st i m a t i o n m e t h o d s
J S M E D a t a B o o k.
M a t e r i a l s u n i t F a t ig u e o f M e t a ls I V ~
Data s o u r c e
M a t e r i a l s D a t a ] b r
C y c l ic L o a d i n g Vol
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Ma te r ia l s ' D a ta f o r
C y c l ic L o a d i n g S u p p l .
1 ' S A E d a t a ' T o t a l
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s t e e ls N u m b e r o f data 51
p o i n t s
N u m b e r o f
13
L o w - a l l o y e - N c u r v e s
s t e e l s N u m b e r o f 87
data p o i n t s
N u m b e r o f
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H i g h - a l lo y ~ - N c u r v e s
s t e e ls N u m b e r o f
133
data p o i n t s
N u m b e r o f 12
A l u m i n i u m E - N c u r v e s
a l l o y s N u m b e r o f 100
data p o i n t s
N u m b e r o f 0
T i t a n iu m E - N c u r v e s
a l l o y s N u m b e r o f 0
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903 299 27 1316
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Deta i led eva lua t ion o f methods fo r es t imat ion o f fa t igue p roper t ies
3 6 9
i t c a n b e s a i d t h a t t h e c l o s e r t h e v a l u e s o f i n t e r c e p t a
a n d s l o p e / 3 a r e t o 0 a n d 1 r e s p e c t i v e l y , t h e b e t t e r t h e
e s t i m a t i o n m e t h o d i s . A n d i f a i s r a t h e r g r e a t e r t h a n
z e r o , t h e c a s e w h e n / 3 i s m o d e r a t e l y s m a l l e r t h a n u n i t y
g i ve s b e t t e r p r e d i c t i o n s t h a n t h e c a s e w h e n / 3 i s g r e a t e r
t h a n u n i t y . F o r a r a t h e r l e s s t h a n z e r o , t h e c a s e
w h e n / 3 i s m o d e r a t e l y g r e a t e r t h a n u n i t y g i ve s b e t t e r
p r e d i c t io n s t h a n t h e c a s e w h e n / 3 i s s m a l le r t h a n u n i t y .
T h u s t h e v a l u e s o f a , / 3 a n d ( a + /3 ) c a n b e u t i li z e d
t o e v a l u a t e t h e p r e d i c t i v e a c c u r a c y o f a n e s t i m a t i o n
m e t h o d f r o m t h e v i e w p o i n t o f a g r e e m e n t b e t w e e n t h e
p r e d i c t e d a n d e x p e r i m e n t a l l i v e s . T h e d r a w b a c k a b o v e
d e s c r i b e d c a n b e o v e r c o m e b y e m p l o y i n g t h e v a l u e s
o f a , /3 a n d ( a + /3 ) a s a d d i t i o n a l c r i t e r i a .
I n u s i n g t h e a d d i t i o n a l c r i t e r i a , t h e fo l l o w i n g p o s s i-
b i li ty s h o u l d b e c o n s i d e r e d . A s s u m e t h a t F i g u r e 5
s h o w s t h e p r e d i c t i o n r e s u l t s o b t a i n e d b y a p p l y i n g tw o
e s t im a t i o n m e t h o d s , D a n d E , t o t w o ( e - N ) d a t a s et s
I a n d I I . T h a t i s , m e t h o d D g i ve s d i ff e r e n t l ea s t -
s q u a r e s l in e s f o r ( e - N ) d a t a s e t s [ a n d I I , w h i l e
p ro v i d i n g a l e a s t - s q u a re s l i n e o f a ~ 0 a n d / 3 ~ 1 fo r
t h e c o m b i n e d d a t a o f d a t a s e t s I a n d I I , a s s h o w n i n
Figure 5a . I n c o n t r a s t , m e t h o d E g i v es n e a r l y t h e
s a m e l e a s t - s q u a re s l i n e s o f a ~ 0 a n d /3 ~ - 1 fo r b o t h
d a t a s e t s I a n d I I , a n d a l s o f o r t h e c o m b i n e d d a t a o f
d a t a s e t s I a n d I I , a s s h o w n i n
F i g u r e 5 b .
L i m i t i n g
a t t e n t i o n t o o n l y t h e r e s u l t s o b t a i n e d f o r t h e c o m b i n e d
d a t a , m e t h o d s D a n d E a p p e a r t o b e e q u a l l y e x c e l l e n t
m e t h o d s . H o w e v e r , i t i s e v i d e n t f r o m t h e r e s u l t s
o b t a i n e d f o r i n d i v i d u a l ( E - N ) d a t a s e t s t h a t m e t h o d
E i s p r e f e r a b l e .
T h e c o r r e l a t i o n c o e f f i c ie n t b e t w e e n t h e p r e d i c t e d
a n d e x p e r i m e n t a l v a l u e s , r , w i l l a l s o b e o n e o t h e r
a d d i t i o n a l c r i t e ri o n . W h e n t w o d i f f e r e n t m e t h o d s
h a p p e n t o p ro v i d e i d e n t i c a l l e a s t - s q u a re s l i n e s , a n
e s t i m a t i o n m e t h o d t h a t g i v e s a h i g h e r r v a l u e i s
p r e f e r a b l e .
z ~
e~
- - t - - - f o r e N c u r v e l I I1 f f
- - m - - f o r e Nc ur ve l l l T , 1+I1
f o r c u r v e s 1 +
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i
i "2'
/
a) Method D
•f/I II•
/
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. /
/
N , = 4
i
b ) M e t h o d E
E x p e r i m e n t a l l i fe , N f
F i g u r e 5 A p p l i c a t i o n o f l e a s t - s q u a r e s a n a l y si s t o t h e p r e d i c t e d d a t a
b y t w o d i f f e r e n t e s t i m a t i o n m e t h o d s
I n t h i s w o r k , t h e p r e d i c t i v e a c c u r a c y o f e s t i m a t i o n
m e t h o d s w i l l b e e v a l u a t e d i n a q u a n t i t a t i v e m a n n e r
b y u s i n g t h e e v a l u a t i o n m e a s u r e d e f i n e d b e l o w .
F r a c t io n o f d a t a w i t h i n a f a c t o r o f s , E j s )
A s n o t e d a b o v e , t h e e r r o r c r i t e r i o n c a n b e e x p r e s s e d
b y E q u a t i o n ( 1 3 ) , i . e . f r a c t i o n o f d a t a w i t h i n a f a c t o r
o f s , E f ( s ) . A v a l u e o f s o f 3 i s e m p l o y e d fo r l i f e
p r e d i c t i o n . T h e e v a l u a t i o n v a l u e Er(s = 3 ) i s g iven as
Ef(s = 3 ) (1 5 )
1
N p
N u m b e r o f d a t a f a l l i n g w i t h i n _ < - N r -<
3
N u m b e r o f to t a l d a t a
Th e c l o s e r E l (S ) is t o 1 , th e b e t t e r t h e p r e d i c t i o n .
A c c o r d i n g l y , a l l t h e e v a l u a t i o n m e a s u r e s t o b e h e r e
e m p l o y e d w i ll b e f o r m u l a t e d t o b e u n i t y fo r i d e a ll y
g o o d p r e d i c t i o n .
G o o d n e s s o f f i t b e tw e e n t h e p r ed i c te d a n d
exper imen ta l va lues , E .~
U s i n g t h e a d d i t i o n a l c r i t e r i a p r e s e n t e d a b o v e , t h e
g o o d n e s s o f f it is d e f i n e d f o r t h e c o m b i n e d d a t a o f a ll
( e - N ) d a t a s e ts a n d f o r i n d i v id u a l ( E - N ) d a t a s e t s.
s e p a r a t e l y a s
l - I O f t o t a l [ ) - c 1 - - l 1 - - / - ~ t o ta l I )
(E.),,,,,,1 =
4
( 1 - - [ 1 -
O ~ t o t a l - ~ [~ to ta I
[ ) + ( 1 - - 1 1 - - r ,, ,, ,[ ) ( 16 )
+ - - 4
1 / V
(E.)D~c, = N ,=~ (E~,),
N z.., [ 4
i = 1
~+ (1 - - 1] - - ~ ' - - ~ ' 1) + (1 - - [ I - - ' " l ) ] ( 1 7 )
w h e re t h e s u b s c r i p t s , t o t a l a n d i, r e f e r I o t h e c o m b i n e d
d a t a o f al l ( e - N ) d a t a s e ts a n d t h e it h ( e - N ) d a t a s e t
r e s p e c t iv e l y , a n d N is t h e n u m b e r o f ( e - N ) d a t a s e ts .
(E,0D s et o f Eq u a t i o n (1 7 ) r e p re s e n t s t h e g o o d n e s s o f
f i t f o r i n d i v i d u a l ( e -N ) d a t a s e t s .
C O M P A R I S O N O F E S T IM A T I O N M E T H O D S
L i f e p r e d i c t i o n s w e r e p e r f o r m e d w i t h t h e a f o r e m e n -
t i o n e d s i x e s t i m a t i o n m e t h o d s o n t h e f i v e m a t e r i a l
g ro u p s l i s t e d i n Table 1 . F igure 6 s h o w s a t y p i c a l
r e s u l t o f li f e p r e d i c t i o n s o b t a i n e d o n l o w -a l l o y s t e e l s ,
f o r w h ic h t h e l a r g e st a m o u n t o f d a t a i s o b t a i n e d a m o n g
t h e f i v e m a t e r i a l g ro u p s . I n t h e f i g u re , t h e p e r f e c t
c o r r e l a t i o n l i n e a n d a f a c t o r o f 3 s c a t t e r b a n d a r e
e x p re s s e d b y t h e d a s h e d a n d s o l i d l i n e s r e s p e c t i v e l y .
T h e e q u a t i o n a n d t h e v a l u e o f r in t h e f ig u r e r e p r e s e n t
t h e r e s u l t o f l e a s t - s q u a re a n a l y s i s a n d t h e c o r r e l a t i o n
c o e f f ic i e n t f o r t h e c o m b i n e d d a t a r e s p e c ti v e l y .
A s c a n b e f o u n d f r o m F i g u r e 6 a , t h e p r e d i c t e d d a t a
b y t h e f o u r - p o i n t c o r r e l a t i o n m e t h o d t e n d t o l e v e l o f f
i n t h e l o n g - l i f e r a n g e , r e s u l t i n g i n o v e r - c o n s e rv a t i v e
l i fe p r e d i c t i o n s . S u c h a t r e n d i s a l s o d i s c e rn i b l e i n t h e
r e s u l t f o r t h e o r i g i n a l u n i v e r s a l s l o p e s m e t h o d s h o w n
in Figure 6b . I n c o n t r a s t , t h e m o d i f i e d u n i v e r s a l s lo p e s
m e t h o d , t h e u n i f o r m m a t e r i a l l a w b y B ~ i u m e l a n d
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Jun Hyub Park and Ji Ho Song
109
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10 101 102 103 104 105 106 107 10 109
Experimental eversals,2N
109
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107
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t"q
106
105
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104
o
;.~ 103
102
101
b) OriginalUniversalSlopes
0 0
o o ~ 8 0
oJ 1 e ° ° °
r = 0.936
10 ~ ' ' ~ ~ l ° g ( 2 N=0.858+0.781 log(2N r
10 101 102 103 104 105 106 I07 10 109
Experimental eversals,2N
f
109
1 0 8
107
Z
t"q
106
105
>
~ 104
;~ 103
~ 102
101
c) ModifiedUniversal
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I )
r = 0.936
I0 ° ~ l o g ( 2 N=0.100+0.9531og(2Nr)
I0 ° l01 102 103 l04 105 106 107 108 109
Experimental eversals,2Nf
1 0 9
1 0 s
107
Z
t'-,I
106
~ 1¢
~ 104
~ 10
~ 102
I01
10
d) Mitchell'sMethod
ee
m
engB ~ n o ~
F
] m m ii dim
[,_ ~_) fro // r = 0.922
log(2Nv)=0.642+0.9271og(2Nr )
]0 ° l 01 10 2 10 3 10 4 10 5 10 6 10 7 l 0 8 10 9
Experimental eversals,2N
f
1 0 9 1 0 9
e) Seeger'sMeth°d ~ ~ ~ If)Ong 'sMeth°d ~
108 108
mull •
107 ~k
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z~ . A n ~ a i D ,
@
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103 ~' .~ 103
lO r = 0.934 r = 0.935
10 ~ log(2Np)=0 .330+ 0.9161og(2 Nf) ll010 ~ I°g(2N p)=0"5 63+ 0"8621 °g(2N I)
l0 ° 101 102 103 104 105 106 107 l08 109 10 ° lO 1 102 103 104 105 106 107 l0 x 109
Experimental eversals,2Nf Experimental eversals,2N
f
Figure 6 Com parison of the predicted and expe rimen tal fa t igue lives for low-al loy s teels
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Detai led evaluat ion of methods for est imat ion of fa t igue propert ies 37 1
S e e g e r. a n d t h e m o d i f i e d f o u r -p o i n t c o r r e l a ti o n m e t h o d
b y O n g p r o v id e r e l a t i v e ly g o o d l i f e p r e d i c t i o n s . H o w -
e v e r , Mi t c h e l l ' s me th o d t e n d s t o g iv e c o n s id e r a b ly
n o n - c o n s e r v a t i v e p r e d i c t i o n s i n t h e l o n g e r - l i f e r a n g e .
A c lo s e i n s p e c t i o n o f Fi gure 6 r e v e a l s t h a t t h e
mo d i f i e d u n iv e r s a l s l o p e s me th o d t e n d s t o g iv e s l i g h t l y
c o n s e r v a t i v e p r e d i c t i o n s a t s h o r t e r l i v e s , b u t n o n -
c o n s e r v a t i v e p r e d i c t i o n s a t l o n g l i v e s . A s imi l a r t e n d -
e n c y c a n b e f o u n d f o r S e e g e r 's m e t h o d . T h e p r e d i c t e d
d a t a d u e t o O n g ' s m e t h o d a r e f o u n d o n a v e r a g e t o
f a l l s l i g h t l y a b o v e t h e p e r f e c t c o r r e l a t i o n l i n e .
T h e t r e n d o b s e r v e d o n l o w - a l l o y s t e el s w a s o b s e r v e d
c o n s i s t e n t l y o n o th e r ma te r i a l s . H o w e v e r , p a r t i c u l a r l y
o n a lu m in iu m a l l o y s , a f e w e x c e s s iv e ly n o n - c o n s e r v a -
t i v e p r e d i c t i o n s w e r e o b s e r v e d a t s h o r t l i v e s f o r a l l
t h e me th o d s e x c e p t Mi t c h e l l ' s .
U n l e s s o t h e r w i s e s t a t e d , F i g u r e 6 i s h e r e a f t e r
e mp lo y e d a s r e p r e s e n t a t i v e o f t h e r e s u l t s f o r a l l
ma t e r i a l s , f o r c o n v e n i e n c e .
Tab l e 2 s h o w s c o m p a r i s o n s o f t h e p r e d i c t i v e a c c u r a c y
o f e st i m a t i o n m e t h o d s o n t h e b a s is o f th e e v a l u a ti o n
valu__es de f ined in the pre v io us sec t ion . Th e va lue s of
E , E a n d E i n t h e t a b l e a r e g iv e n a s
3
= k _ 7: t - = E f ( s = 3 ) + ( E a ) t o t a l + ( E a ) D s e t
3 3
( 1 8 )
5
(E k ) i U i
E k - - j = l
- ~ - - - ( 1 9 )
ENj
J = l
E E k E l ( s = 3 ) + ~ +
: k = l = . . . . . t o t a l _ O s e t
3 3
( 2 0 )
w h e r e t h e s u b s c r ip t s j a n d k r e f e r t o t h e j t h ma te r i a l
a n d k th e v a lu a t i o n v a lu e r e s p e c t i v e ly , a n d N j i s t h e
n u m b e r o f
( e - N )
d a t a s e t s o f t h e j t h ma te r i a l .
T h e b o ld - f a c e d fi g u re s in t h e t a b l e r e p r e s e n t t h e
b e s t p r e d i c t i o n f o r e a c h e v a lu a t i o n i t e m. F i r s t , g iv in g
a t t e n t i o n t o t h e r e s u l t o n l o w - a l l o y s t e e l s a l o n g w i th
Figure 6 ,
t h e e v a lu a t i o n v a lu e o f f r a c t i o n o f d a t a
E f ( s
= 3 ) i s n e a r l y t h e s a me f o r t h e o r i g in a l a n d
mo d i f i e d u n iv e r s a l s l o p e s me th o d s , S e e g e r ' s a n d O n g ' s
m e t h o d s , a m o n g w h i c h O n g ' s m e t h o d g i v es t h e b e s t
p r e d i c t i o n s . W i th r e s p e c t t o t h e g o o d n e s s o f f it , t h e
mo d i f i e d u n iv e r s a l s l o p e s me th o d i s t h e b e s t f o r t h e
c o m b in e d d a t a , w h i l e S e e g e r ' s i s t h e b e s t f o r i n d iv id u a l
( E - N ) d a t a s e t s . I t i s i n t e r e s t in g t h a t t h e m e th o d g iv in g
th e b e s t r e s u l t d i ff e r s d e p e n d in g o n t h e e v a lu a t i o n i t e m.
C o n s id e r in g t h e e v a lu a t i o n v a lu e a v e r a g e d o v e r t h r e e
i t e m s , E , t h e m o d i f i e d u n iv e r sa l s l o p e s m e t h o d m a y
b e s a id t o b e t h e b e s t f o r l o w - a l l o y s t e e l s .
B a s e d o n t h e v a lu e o f E , t h e mo d i f i e d u n iv e r s a l
s l o p e s me th o d i s a l s o t h e b e s t f o r u n a l l o y e d a n d h ig h -
a l l o y s t e e l s . F o r u n a l l o y e d a n d h ig h - a l l o y s t e e l s ,
S e e g e r ' s me th o d a l s o g iv e s g o o d r e s u l t s , c o mp a r a b l e
t o t h e m o d i f i e d u n iv e r sa l s l o p e s m e t h o d . O n t h e o t h e r
h a n d , Mi t c h e l l ' s me th o d i s t h e b e s t f o r a l u min iu m
a l lo y , w h i l e O n g ' s i s t h e b e s t f o r t i t a n iu m.
T a b l e 2 C o m p a r i s o n o f e s t i m a t i o n m e t h o d s i n t e r m s o f e v a l u a t i o n v a lu e s
O r i g i n a l
M a t e r i a l F o u r - p o i n t u n i v e r s a l
g r o u p E v a l u e c o r r e l a t i o n s l o p e s
M o d i f i e d
u n i v e r s a l
s lopes
M i t c h e l l ' s
m e t h o d
S e e g e r ' s
m e t h o d
O n g ' s
m e t h o d
U n a l l o y e d E f ( s = 3) 0 . 570 0 . 769 0 . 8 2 4 0.738 0.805 0.811
steels (Ea)total 0.431 0.669 0.925 0.774 0.885 0.868
( E ~ ) D ~ 0 . 2 3 4 0 . 4 62 0 . 5 42 0 . 3 3 0 0 . 5 6 9 0 .4 9 l
E 0 . 412 0 . 634 0 . 764 0 . 614 0 . 753 0 . 723
Low-al loy
E f ( s
= 3) 0 . 548 0 . 750 0 . 764 0 . 532 0 . 768 0 . 793
s tee l s (E , )~o , , 0 . 229 0 . 444 0 . 747 0 . 528 0 . 654 0 . 562
(E~)Ds~, 0.224 0.503 0.621 0.514 0.632 0.614
0 . 334 0 . 566 0 . 711 0 . 524 0 . 684 0 . 656
H i g h - a l l o y
E r ( s
= 3) 0.663 0.865 0.867 0.60/) 0.846 0.865
s tee l s (E , ) , , , ~ 0 . 313 0 . 648 0 . 956 0 . 808 0 . 970 0 . 801
(E~)D~e, 0.4549 0.645 0.656 0 .605 0 .662 0.681
0 . 477 0 . 719 0 . 826 0 .671 0 . 826 0 . 782
A l u m i n i u m
E f ( s =
3) 0 . 567 0 . 8 0 0 0 . 796 0 . 721 0 . 738 0 . 713
a l loys (E~)~ , ,~ -0 . 0 43 0 . 586 0 . 720 0 . 907 0 . 877 0 . 723
(E,)Ds~, 0.437 0.666 0.704 O.734 0 . 7 3 5 0 . 712
0 . 320 0 . 684 0 . 740 0 . 787 0 . 783 0 . 716
T i t a n i u m
E f ( s =
3) 0 . 519 0 . 759 0 . 852 0 . 648 0 . 778 0 . 8 7 0
a l loys ( E , ) , , , ~ 0 . 331 0 . 558 0 . 892 0 . 847 0 . 746 0 . 9 2 1
( E , )D ~, 0 . 462 0 . 500 0 . 448 0 . 580 0 . 472 0 . 592
0 . 437 0 . 606 0 . 731 0 . 692 0 . 665 0 . 794
Al l E f ( s = 3) 0 . 576 0 . 780 0 .801 0 . 609 0 . 788
0 . 8 0 5
mate r i a l s = 0 . 271 0 . 556 0 . 834 0 . 688 0 . 798 0 . 708
(E~)~o,~J 0.303 0.539 0.613 0.514 0.62 9 0.609
( E~ )1 . . .
Tota l ~ 0 . 384 0 . 627 0 . 7 5 1 0.606 0.739 ( / .709
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37 Jun Hyub Park and Ji Ho Song
I n t h e e v a l u a t i o n a v e r a g e d o v e r a l l m a t e r i a l g r o u p s
a n d e x p r e s s e d b y t h e v a l u e o f E , a l m o s t t h e s a m e
r e s u l t s a r e o b t a i n e d a s d e s c r i b e d a b o v e o n l o w - a l l o y
s tee l s ,
I n t h e t o t a l e v a l u a t i o n r e p r e s e n t e d b y t h e v a l u e o f
~ , t h e m o d i f i e d u n i v e r s a l s l o p e s m e t h o d i s b e s t a n d
S e e g e r ' s m e t h o d i s n e x t b e s t , f o l l o w e d b y O n g ' s .
D I S C U S S I O N
F r o m t h e r e s u l t s i n t h e p r e c e d i n g s e c t i o n , t h e f e a t u r e s
o f e a c h e s t i m a t i o n m e t h o d c a n b e s u m m a r i z e d a s
fo l lows .
T h e p r e d i c t i v e a c c u r a c y o f b o t h t h e f o u r - p o i n t
c o r r e l a t i o n m e t h o d a n d t h e o r i g i n a l u n i v e r s a l s l o p e s
m e t h o d i s c o n s i d e r e d i n f e r i o r t o t h e o t h e r m e t h o d s ,
b e c a u s e t h e p r e d i c t i o n r e s u l t s f r o m b o t h m e t h o d s t e n d
t o l e v e l o f f in t h e l o n g - l i f e r a n g e , a s n o t e d i n Figure
6 . A s c a n b e f o u n d f r o m t h e v a l u e o f E f ( s = 3 ) in
Table 2 o n l y a b o u t 5 8 % o f t h e d a t a p r e d i c t e d b y t h e
o r i g i n a l f o u r - p o i n t c o r r e l a t i o n m e t h o d f a l l w i t h i n a
f a c t o r o f 3 s c a t t e r b a n d , i n d i c a ti n g th a t t h e m e t h o d
m a y n o t b e r e c o m m e n d e d .
T h e o r i g in a l u n i v e r sa l s l o p e s m e t h o d m a y b e s a t is f a c-
t o r y in t h e r e s p e c t t h a t a b o u t 8 0 % o f th e d a t a f a ll
w i t h i n a f a c t o r o f 3 s c a t te r b a n d , H o w e v e r , t h e g o o d n e s s
o f f it d u e t o t h _e m e t h o d i s i n f e r i o r , a s t h e v a l u e s o f
(E~)tot~l and (E~)Dset in Table 2 i n d i c a t e .
I t i s w o r t h n o t i n g t h a t t h e a b o v e t w o m e t h o d s t e n d
t o p ro v i d e s l i g h t l y n o n -c o n s e rv a t i v e p r e d i c t i o n s a t
s h o r t l i v es , b u t a r e e x c e s s i v e l y o v e rc o n s e r v a t i v e a t
l o n g l i v e s . T h i s f a c t h a s b e e n a l r e a d y p o i n t e d o u t b y
M a n s o n a n d M u r a l i d h a r a n 5 , p a r t i c u l a r l y f o r th e o r i gi n a l
u n i v e r s a l s l o p e s m e t h o d .
I n c o n t r a s t , t h e m o d i f i e d u n iv e r s a l s lo p e s m e t h o d ,
d e v e l o p e d t o o v e r c o m e t h i s d r a w b a c k o f t h e o r ig i n a l
u n i v e r s a l s l o p e s m e t h o d , t e n d s t o g i v e s l i g h t ly c o n s e rv a -
t i v e p r e d i c t i o n s a t s h o r t e r l i v es , b u t i s n o n -c o n s e rv a t i v e
a t l o n g l i v e s , a s a l r e a d y n o t e d i n Figure 6c. W h i l e t h e
f r a c t i o n o f d a t a w i t h i n a f a c t o r o f 3 s c a t t e rb a n d i s
8 0 % , a s c a n b e f o u n d i n Table 2 t h e g o o d n e s s o f f i t
i s r e m a r k a b l y i m p r o v e d i n t h e m o d i f i e d u n i v e r s a l
s l o p e s m e t h o d . A s t h e e q u a t i o n i n Figure 6c s h o w s ,
t h e v a l u e s o f i n t e r c e p t (~ = 0 .1 0 0 ) a n d s l o p e
( /3 = 0 .9 5 3 ) a r e v e ry c l o s e t o 0 a n d 1 r e s p e c t i v e l y .
Th i s r e s u l t i m p l i e s t h a t t h e m o d i f i e d u n i v e r s a l s l o p e s
m e t h o d g i v e s a c c u r a t e p r e d i c t i o n s .
A s c a n b e s e e n i n
Figure 6d
M i t c h e l l ' s m e t h o d a l s o
p ro v i d e s a v a l u e o f s l o p e , /3 = 0 .9 2 7 , r e l a t i v e l y c l o se
t o 1 , i n d i c a t i n g e x c e l l e n t d i r e c t c o r r e s p o n d e n c e
b e t w e e n t h e p r e d i c t e d a n d e x p e r i m e n t a l l i v e s . H o w -
e v e r , t h e v a l u e o f t h e i n t e r c e p t , a = 0 ,6 4 , is r e l a t i v e l y
h i g h , l e a d i n g t o n o n - c o n s e r v a t i v e p r e d i c t i o n s o v e r t h e
e n t i r e l if e r a n g e . C o n s e q u e n t l y , o n l y a b o u t 6 0 % o f
t h e d a t a f a l l w i t h i n a f a c t o r o f 3 s c a t t e rb a n d a s l i s t e d
in Table 2.
G o o d d i r e c t c o r r e s p o n d e n c e ( /3 = 0 . 91 4 ) b e t w e e n
t h e p r e d i c t e d a n d e x p e r i m e n t a l l i v e s c a n b e o b s e r v e d
a l so in Figure 6e f o r S e e g e r ' s m e t h o d . I n p a r t i c u l a r ,
t h e m e t h o d i s th e b e s t i n g o o d n e s s o f f it f o r i n d i v i d u a l
d a t a s e t s , a s c a n b e fo u n d f ro m t h e v a l u e o f (E~ )D ~ c t
in Table 2. T h e f r a c t i o n o f d a t a f a ll i ng w i t h in a f a c t o r
o f 3 s c a t t e r b a n d i s 7 9 % .
A s c a n b e s e e n i n Figure 6f O n g ' s m e t h o d g i v e s
t h e v a l u e o f s l o p e , /3 = 0 .8 6 2 , l e s s t h a n t h o s e fo r t h e
a b o v e t h r e e m e t h o d s , a n d a r e l a t i v e ly h ig h i n t e r c e p t
v a l u e , c~ = 0 , 5 6 3 . C o n s e q u e n t l y , O n g ' s m e t h o d i s
i n f e r i o r to b o t h t h e m o d i f i e d u n iv e r s a l s lo p e s m e t h o d
a n d S e e g e r ' s m e t h o d i n t h e g o o d n e s s o f f i t, a n d
t e n d s t o p r o v i d e n o n - c o n s e r v a t i v e p r e d i c t i o n s m o r e
f r e q u e n t l y , c o m p a r e d w i t h t h e m o d i f i e d u n iv e r s a l
s l o p e s m e t h o d . T h e f r a c t i o n o f d a t a w i t h i n a f a c t o r o f
3 s c a t t e r b a n d i s s l ig h t ly m o r e t h a n 8 0 % .
I t c a n b e n o t e d f ro m t h e a b o v e d i s c u s s i o n t h a t t h e
m o d i f i e d u n i v e r s al s lo p e s m e t h o d , S e e g e r ' s m e t h o d
a n d O n g ' s m e t h o d a l l g i v e r e a s o n a b l y g o o d l i f e
p r e d i c t io n s , w i t h a b o u t 8 0 % o f t h e d a t a f a l li n g w i t h in
a f a c t o r o f 3 s c a t t e rb a n d . B a s e d o n t h e g o o d n e s s o f
f i t , t h e m o d i f i e d u n i v e r s a l s l o p e s m e t h o d i s t h e b e s t
a n d S e e g e r ' s m e t h o d is th e n e x t b e s t . W h i l e n o t s h o w n
h e re e x p l i c i t l y , t h e m o d i f i e d u n i v e r s a l s l o p e s m e t h o d
h a s t h e f e w e s t n o n - c o n s e r v a t i v e d a t a f a l l i n g o u t s i d e
t h e u p p e r l i n e o f a f a c t o r o f 3 s c a t t e r b a n d , i n
c o m p a r i s o n w i t h o t h e r t w o m e t h o d s .
I n c o n c l u s i o n , t h e m o d i f i e d u n i v e r s a l sl o p e s m e t h o d
c a n b e r e c o m m e n d e d a s t h e b e s t e s t i m a t i o n m e t h o d
a t p r e s e n t . T h i s m e t h o d e s s e n t i a l l y r e q u i r e s t h e e l a s t i c
m o d u l u s E , t e n s i l e s t r e n g t h o -B a n d f r a c t u r e d u c t i l i ty
el, o f t h e m a t e r i a l . W h e n t h e f r a c t u r e d u c t i l i t y i s n o t
a v a i l a b le , S e e g e r ' s m e t h o d , w h i c h r e q u i re s o n l y t h e
e l a s t i c m o d u l u s a n d t e n s i l e s t r e n g t h , m a y b e u t i l i z e d
a s a n a l t e rn a t i v e t o o b t a i n s a t i s f a c t o ry r e s u l t s .
O n t h e o t h e r h a n d , O n g ' s m e t h o d , w h i l e b e i n g a
g o o d e s t i m a t i o n m e t h o d , r e q u i r e s t h e t r u e f r a c t u r e
s t res s o -t,, wh ic h i s no t a lw ays g iven , in ad d i t io n to the
a b o v e t h r e e m a t e r i a l p r o p e r t i e s .
A l t h o u g h n o t s h o w n h e r e , t h e f r a c t io n o f d a t a f a ll in g
w i t h i n a f a c t o r o f 2 s c a t t e r b a n d i s f o u n d t o b e a b o u t
6 0 % f o r a ll t h e a b o v e t h r e e m e t h o d s . T h e m a j o r
c o n c l u si o n s o b t a i n e d a b o v e f o r a f a c t o r o f 3 s c a t te r b a n d
a r e h a r d l y a f f e c t e d b y e m p l o y i n g a f a c t o r o f 2 .
I t h a s a l r e a d y b e e n n o t e d i n t h e i n t r o d u c t i o n t h a t ,
o n i t s o w n , t h e e r r o r c r i t e r i o n e x p r e s s e d b y E q u a t i o n
(1 5 ) i s n o t a l w a y s s u f f i c ie n t f o r d e t a i l e d e v a l u a t i o n o f
e s t i m a t i o n m e t h o d s , B a s e d o n t h e e r r o r c r i t e r i o n
a l o n e , t h e o r i g i n a l u n i v e r s a l s l o p e s m e t h o d m a y b e
s a i d t o b e o n e o f t h e b e s t e s t i m a t i o n m e t h o d s , a s t h e
f r a c t i o n o f d a t a f a l l i n g w i t h i n a f a c t o r o f 3 (o r 2 )
s c a t te r b a n d a m o u n t s t o 7 8 % ( o r 6 0 % ) , c o m p a r a b l e
t o t h e r e s u l t s d u e t o t h e a b o v e t h r e e m e t h o d s ,
H o w e v e r , t h e o r i g i n a l u n i v e r s a l s l o p e s m e t h o d i s i n
p ra c t i c e i n f e r i o r t o t h e m o d i f i e d u n i v e r s a l s l o p e s
m e t h o d a s r e p o r t e d b y M a n s o n a n d M u r a l i d h a r a n ~.
S u c h a f a c t c a n b e e a s i l y c l a r i f i e d i n a q u a n t i t a t i v e
m a n n e r b y u s in g t h e a d d i t i o n a l c r it e r ia p r o p o s e d h e r e ,
as Table 2 s h o w s .
C O N C L U S I O N
T h e p r e d i c t i v e a c c u r a c y o f v a r i o u s m e t h o d s d e v e l o p e d
t o e s t i m a t e f a t i g u e p ro p e r t i e s f ro m s i m p l e t e n s i l e d a t a
i s q u a n t i t a t i v e l y e v a l u a t e d b y u s i n g t h e a d d i t i o n a l
c r i t e r i a p ro p o s e d i n t h i s w o rk . w i t h t h e c o n v e n t i o n a l
e r r o r c r i t e r io n , T h e c o n c l u s i o n s o b t a i n e d a r e s u m m a r -
ized as fo l lows :
1 . N e w c r i t e r i a b a s e d o n a l e a s t - s q u a re s a n a l y s i s
b e t w e e n t h e p r e d i c t e d a n d e x p e r i m e n t a l f a t i g u e
l i v e s a r e p r o p o s e d t o e v a l u a t e e s t i m a t i o n m e t h o d s .
2 . T h e t h r e e m e t h o d s - t h e m o d i f i e d u n i v e r s a l s l o p e s ,
S e e g e r ' s a n d O n g ' s m e t h o d s - g i ve r e a s o n a b l y
g o o d l if e p r e d i c t io n s . A m o n g t h e m , t h e m o d i f i e d
u n i v e r s a l s l o p e s m e t h o d p ro v i d e s t h e b e s t r e s u l t s .
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D e t a i l e d e v a l u a t i o n o f m e t h o d s f o r e s t im a t io n o f f a t i g u e p r o p e r t i e s 3 7 3
3 . C o n s e q u e n t l y , t h e m o d i f i e d u n i v e r s al sl o p e s m e t h o d
c a n b e r e c o m m e n d e d a s t h e b e s t e s t i m a t i o n m e t h o d
a t p r e s e n t . W h e n t h e f r a c tu r e d u c t i l i t y r e q u i r e d b y
t h e m e t h o d i s n o t a v a i l a bl e , S e e g e r ' s m e t h o d m a y
b e u t i l i ze d a s a n a l t e r n a t iv e t o o b t a i n s a t i s f a c t o r y
r e s u l t s .
4 . T h e f r a c t i o n o f d a t a f a l l in g w i t h i n a f a c t o r o f 3 ( o r
2 ) s c a t t er b a n d i s f o u n d t o b e a b o u t 8 0 % ( o r 6 0 % )
f o r a l l t h e a b o v e t h r e e m e t h o d s .
R E F E R E N C E S
1 M an so n , S . S ,
Exp Mech
1965, 5, 193
2 M i t c h e l l , M . R . Fat igu e an d M i c r os t r u c t u r e ', A m e r i c an
S oc i e t y f or M e t a l s , M e t a l s P ac k , OH, 1979 , p . 385
3 B~iume l , A. Jr and Seeg er , T. ~Mater ials Dat a for Cycl ic
L o a d i n g , S u p p l e m e n t 1 '
E l se v i e r S c i e n c e P u b l i sh e r s , A m st e r -
d a m , 1990
4 O n g , J . H .
Int . J . Fatigue
1993, 15, 213
5 M u r a l i d h a r a n , U . a n d M a n s o n , S . S . J .
Eng . Mater . Techno l .
1988, 110, 55
6 O n g , 3 . H .
Int . J . Fatigue
1993, 15, 13
7 ' A S M M e t a l s H a n d b o o k ' , 9 t h e d n , A m e r i c a n S o c i e t y f o r
M e t a l s , M e t a l s Park , O H, 1978 , 680
8 " J SME D at a B ook : Fat i gu e o f M e t a l s ' , I V L o w C yc l e Fat i gu e
S t r e n gt h , Jap an S oc i e t y o f M e c h an i c a l E n g i n e e r s , T o k y o ,
1983
9 BOller, Ch r , J r
an d S e e ge r , T . ' M at e r i a l s D at a f or C yc l i c
L o a d i n g ' , V o l . l - 4 , E l se v i e r S c i e n c e P u b l i sh e r s , A m st e r d am ,
1987
1 0 W e t z e l , R . M . ( e d . ) ' F a t i g u e U n d e r C o m p l e x L o a d i n g :
A n a l y s e s a n d E x p e r i m e n t s ' , S o c i e t y o f A u t o m o t i v e E n g i n -
eer s , I nc . , 1975 p . 41