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Int. J. Fatigue Vol. 17, No. 6, pp. 385-398, 1995
Copyright © 1995 Elsevier Science Limited
Printed in Great Britain. All rights reserved
0142-1123/95/$10.00
0142-1123(95)00005-4
Development of a finite element based strain
accumulation model for the prediction of
fatigue lives in highly stressed Ti components
I.V. Putchkov, Y.M. Temis, A.L. Dowson* and D. Damrit
Central Institute of Aviation Motors, 2 Aviamotornaya St, Moscow, 111250, Russia
*IRC in Materials for High Performance Applications, University of Birmingham,
Edgbaston, Birmingham, B15 2TT, UK
tRolls Royce plc, PO Box 31, Derby DE2 8B J, UK
(Received 24 October 1994; accepted 16 January 1995)
Low-cycle fatigue studies have been conducted on the near-alpha IMI 829 Ti alloy under constant-
amplitude and variable-amplitude load- and strain-controlled loading conditions, and fundamental
data have been generated relating to the effects of cyclic loading on elastic modulus, yield stress and
plastic strain development. The results of these studies have been used to develop a finite element
based damage accumulation model, which is capable of predicting both the stress and strain
distributions in cyclically loaded components, and the time to failure (time to first crack) in critical
regions of high stress and/or strain concentration. The model has been successfully validated using
LCF tests conducted on notched specimens (Kt = 2.8 and 3.2) at ambient (20 °C) temperature.
(Keywords: life prediction; Ti alloys; strain accumulation; cyclic stress--strain curves; low-cycle fatigue; FE model)
Mathematical and numerical procedures capable of
modelling the physical processes that underwrite the
fracture behaviour of engineering materials and struc-
tures are now well established 1-3. Such procedures
have become essential tools in both the design process
and in the definition of life prediction philosophies
for safety-critical aeroengine components4's. As such
they promote the concepts of safe-life design3`s and
can reduce the need for investment in expensive
materials and component evaluation trials. Their
application, however, has been dependent on the
development of a detailed understanding of the micro-
structure and mechanical parameters that influence
failure, and on the development of life prediction
philosophies that are capable of handling the complex
stress and strain histories associated with in-service
loading.
Because of their high strength-to-weight ratio and
their capacity for thermomechanical processing, Ti-
based alloys have found widespread application
throughout the aerospace industry6,7, particularly
within the compressor and low-pressure regions of the
gas turbine engine, where component life is often
governed not by static properties but rather by the
damage processes associated with cyclic changes in
both temperature and load. Under such conditions the
fundamental parameters that influence failure are the
cyclic stress-strain response of the material, and the
associated resistance to crack initiation and subsequent
growth. Conventionally, the cyclic stress-strain
response of a material is described in terms of a simple
power-law-type relationship similar to that originally
proposed by Ramberg and Osgood 8. Assuming Masing-
type behaviour9, Moskvitin1° has recently shown that
this relationship may be modified such that the stress,
0-,,* and strain e,,* coordinates during any half cycle,
n, may be related directly to the monotonic stress-strain
curve by a relationship of the form
• J( :t
or. = a (1)
\ a,/
where f represents the initial stress-strain response of
the material under monotonic loading (i.e. n = 0),
and a, is a transformation coefficient that, analogous
with the Bauschinger effectn, takes into account cyclic
changes in the stress-strain curve. This relationship was
further developed by Gusenkov 12 and Schneiderovitch
and Gusenkov 13, who suggested a generalized form of
the stress-strain curve such that:
{ <*
e* = S*, S* -- S,s
S* + An[f-l(pS*/2) - al s*. > sL
e*n e*~ . or n
= --,S. - (2)
13s o's
where ~rs and es are the initial stress and strain values
385