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Residual Strength and Fatigue Lifetime of ... - Solid Mechanics

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composite laminates under thermal cyclic loading using combined experimental <strong>and</strong><br />

computational investigations.<br />

In all the above-mentioned studies, the simulation <strong>of</strong> fatigue crack growth was limited to only a<br />

few cycles due to the need <strong>of</strong> a high mesh density at the crack tip <strong>and</strong> subsequently required high<br />

computational time. This illustrates the main obstacle confronting any attempt to combine<br />

fracture mechanics <strong>and</strong> the finite element method to simulate fatigue crack growth. To overcome<br />

the problem <strong>of</strong> simulating many cycles different concepts <strong>of</strong> cycle jumps have been proposed by<br />

several researchers. The cycle jump concept was first developed <strong>and</strong> applied by Billardon et al.<br />

(1989). They called the approach the jump-in-cycle procedure. The Large Time Increments<br />

method (LATIN) was proposed two years later by Boisse et al. (1990) <strong>and</strong> used by Cognard et al.<br />

(1999) for thermo-mechanical problems. In the large time increments method the equations <strong>of</strong><br />

the initial boundary value problem are divided into two groups: (1) linear equations which are<br />

global <strong>and</strong> (2) non-linear equations, which are local. Even though the theory <strong>of</strong> the LATIN<br />

method is sound, after the implementation into commercial FEA s<strong>of</strong>tware it turned out to be<br />

computationally heavy <strong>and</strong> not so beneficial. Kiewel et al. (2000) developed a method for<br />

extrapolation <strong>of</strong> a group <strong>of</strong> internal variables over a certain range <strong>of</strong> cycles. The extrapolation is<br />

based on spline functions used to evaluate the state variables over jumped cycles for each<br />

integration point in the finite element model. Fish et al. (2002) developed a new scheme for cycle<br />

jumps where the time is decomposed into two scales: one micro-chronological (fast) <strong>and</strong> one<br />

macro-chronological (slow). The fast micro-chronological time corresponds to the cyclic<br />

behaviour, <strong>and</strong> the slow macro-chronological time to the global behaviour <strong>of</strong> the structure. Van<br />

Paepegem et al. (2001) proposed a new cycle jump method based on extrapolation <strong>of</strong> the damage<br />

parameter exploiting the explicit Euler integration formula. At each integration point <strong>of</strong> the finite<br />

element model a local jump length is determined by imposing an input maximum jump allowed<br />

by the user for the damage variable. The global jump length is then evaluated based on the<br />

cumulative statistical distribution <strong>of</strong> local jumps. Cojocaru <strong>and</strong> Karlsson (2006) employed the<br />

cycle jump method to simulate the response <strong>of</strong> thermal barrier coatings (TBC) under cyclic<br />

thermal loading, where the structure evolves due to changing material properties during high<br />

temperature. In this case, damage mechanics was not used. They proposed a control function that<br />

automatically monitors the length <strong>of</strong> the cycle jump to ensure a realistic solution. Results showed<br />

their cycle jump scheme is computationally effective <strong>and</strong> accurate.<br />

In this chapter, the cycle jump method developed by Cojocaru <strong>and</strong> Karlsson (2006) is adopted<br />

with some modifications to take into account the change in the geometry <strong>of</strong> the finite element<br />

model due to the fatigue crack propagation. Two finite element routines are developed to<br />

simulate 2D <strong>and</strong> 3D accelerated bimaterial fatigue crack growth. In the first routine the crack<br />

only propagates at one point at the crack tip, but in the second a crack front is modelled <strong>and</strong> its<br />

growth at different points in different directions is simulated.<br />

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