The model predictions include the temperature and molar gradients as well as the extents of carbon combustion, calcination and silication reactions.
Model predictions include polymer film thickness, skin thickness, rate of solvent removal and degree of crystallinity of the polymer as functions of time.
The model predictions – including time to ignition and initial, peak, and rate of rise of sample mass loss rate – were found to closely match experimental results.
There are many approaches to improve hydrologic model predictions, including pre-processing to deal with input uncertainty, data assimilation to treat initial and boundary condition uncertainty, model calibration to reduce parametric uncertainty.
Additional file 2: Table S3 provides detailed listings of essentiality status and model predictions, including a breakdown of gene essentiality prediction status by criteria used.
The article concludes by discussing issues of model-based prediction, including multimodel averaging.
Critical-sliding prediction model includes Zhaitengdixiao model, Su aijun model, sliding deformation power model, gray displacement vector angle method, collaborative model.
Model predictions, which include ply crack density evolution and laminate stiffness degradation, correlate well with available experimental data, while model results for various CFRP and GFRP multidirectional laminates demonstrate its robustness.
In the presented optimal control formulation, the uncertainty of the internal model predictions are included in the dynamics formulation as a stochastic term.
In this study, we followed the TRIPOD (transparent reporting of a multivariable prediction model for individual prognosis or diagnosis) statement [33] to report the prediction model including model development, model performance and model validation.
