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The fatigue life of composite structures with impact damage can be predicted accurately by applying the prediction model, which takes into account the residual strength after impact, the shape factor which considers geometric characteristics, and the fatigue characteristics of virgin composites that have not been impacted to the model for strength degradation following impact.
Two previous studies, published in 2009, showed that the contents of visual working memory are represented in a region of the brain devoted to vision, and can be predicted accurately by decoding the activity in that region.
It was found that the stiffness and ultimate resistance could be predicted accurately by using existing methods.
It is shown that the performance of an SR reconstruction method on real-world data can be predicted accurately by measuring its performance on simulated data.
It is shown that the first few lowest natural frequencies can be predicted accurately by taking only one repeatable substructure of the system.
A few numerical examples have been worked out to demonstrate the proposed method, and it is shown that the fatigue life under VACL can be predicted accurately by using the developed method.
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Properties of gas at surface conditions are predicted accurately by ideal gas law.
It is found that the time-dependent nonlinear response of the system is predicted accurately by the empirical model.
The results show that the mean spatial cable tensions are predicted accurately by the analytical expressions, and uniform tension distribution is obtained by the modified plane projection method.
The load-deformation response, ultimate capacity, and failure mode are predicted accurately by the model for both concentric and eccentric axial loading conditions.
As shown in Figs. 9 and 10, VAR is predicted accurately by quasi-Monte Carlo method, and the two sequences showed good results as one dimension is used for prediction.
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