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In a subsequent study, the predictive performance of finite element analysis was investigated and qualified through predictions of longitudinal bone changes and treatment efficacy based on images earlier in the study.
Predictions of longitudinal variation in ρg for individual trees were markedly offset from the mean value.
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Assuming a constant ρg of 1,000 kg m−3 also resulted in poor prediction of longitudinal variation in MOE.
It is demonstrated that isotropic hardening over-predicts the tensile magnitude of welding residual stress in the benchmark specimens, while pure kinematic hardening gives an under-prediction of longitudinal stresses in parent material close to the weld.
A new analytical model for calculation of dispersivity, together with the numerical simulation results, is utilized to adjust a general model for the prediction of longitudinal dispersion coefficient in unsaturated sandy porous media of either uniform or non-uniform grains.
For prediction of longitudinal radiographic progression based on baseline marker values, the individual prognostic marker with highest AUC was homogeneity at 0.71 (0.56 to 0.81).
Finally, in and out-of-sample predictions of both longitudinal and time-to-event processes can be obtained relatively easily using posterior predictive distributions.
In addition to over-predicting values of MOE, this assumption also resulted in erroneous prediction of the longitudinal pattern in MOE.
Additionally, a dedicated constitutive material model was developed to enable the prediction of the longitudinal mechanical behavior of the bio-composite.
Three analytical models are developed for prediction of the longitudinal Young's modulus of carbon fibre composite materials containing fully interlaced 3D-woven textile reinforcement.
Furthermore, an analytical method is proposed for the prediction of the longitudinal shear stress at the concrete-steel profile interface which allows to design adequate shear connection between the steel profile and concrete.
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