Combinations of failure mechanisms are frequently encountered in the Life p
rediction of composite materials. A Life prediction methodology is develope
d and applied to one such failure mechanism combination. This method uses e
xperimental data and analytical tools to predict the long-term behavior of
a composite under service conditions. The,prediction scheme is based on the
assumption that damage accumulation progressively reduces the remaining st
rength of a composite. An overview of the fundamental concepts of the Life
prediction method is presented. The method is used to model the elevated te
mperature fatigue behavior of a unidirectional AS-4 carbon fiber/PolyPhenyl
ene Sulfide (PPS) matrix composite material. The nonlinear combined effects
of time at elevated temperature and fatigue are taken into account by cons
idering elevated temperature tensile rupture and room temperature fatigue b
ehavior. The life prediction for the combined loading is compared to 90 deg
rees C tensile-tensile fatigue data. This comparison shows good correlation
between the prediction and data and demonstrates the method's effectivenes
s in Life prediction modeling.