Sentence examples for predict the yielding from inspiring English sources

After calibration, the model can accurately predict the yielding asymmetry behavior and the stress strain curve featured by the unusual sigmoidal shape which is the result of the activation of twinning and untwinning deformation mechanisms.

Two S&T models, both considering and not considering TTT nodes were proposed to predict the yielding capacity of A and B specimens in Fig. 3.

Finally, Tresca and Von Mises' yield criteria are utilized to predict the onset of yielding.

Annotation of the assembled transcriptome and predicted proteome was performed with the Trinotate package (version trinotate_r20130826). Transdecoder, a Perl script packaged with Trinity, was used to predict proteins, yielding the most likely longest-ORF peptide candidates file best_candidates.eclipsed_orfs_removed.pep.pep

Applying the CFD model, we predicted the local yielding rate of nanotubes along the axis of the reactor.

Therefore, it is important to accurately predict the effective stiffness up to yielding of each structural component.

Cherkasova and Phaal [14] defined a simple method for computing the predicted resource utilization, yielding predicted resource utilizations by assigning certain weights to the current and the past utilizations.

Conventional yield criteria for ductile materials, such as Tresca and von Mises, predict that yielding is independent on the hydrostatic stress state (pressure), which means that tensile and compressive stress-strain behaviors are considered equal and are equally treated.

Mathematical expressions were derived to predict the beginning and end of story yielding due to the incident wave.

Classical plasticity theories and yield criteria for ductile materials, such as Tresca and von Mises original formulations predict that yielding is independent on the hydrostatic stress state (pressure), which means that tensile and compressive stress-strain behaviours are considered equal and are equally treated.

This residual value is added to the predicted value, yielding stochastic regression imputation.