The Finite Element (FE) modelling technique using ABAQUS was used to develop appropriately validated numerical models based on the experimental evidence available from the relevant literature.
In order to address this research issue, an ontology-based knowledge modelling technique using an analytic hierarchical process (AHP) is proposed.
Modelling techniques using evolutionary information, in particular homology/comparative modelling, developed into standardized pipelines over recent years.
The research is underpinned by advanced modelling techniques using both pure Critical State models and E J models to analyse the behaviour of the superconductors.
Second, it employs multilevel modelling techniques, using household-based data which include information on multiple children living in the same families.
Traditional reservoir modelling techniques use oversimplified two-point statistics to represent geological phenomena which are typically curvilinear and have other complex geometrical configurations.
Various failure criteria and modelling techniques using both shell and solid finite elements are investigated and good correlation has been obtained with test observations.
Data were analysed using random effects population averaged modelling techniques using the Stata version 8.0 statistical programme (Stat Corp., College Station, USA).
Nevertheless, all niche modelling techniques used here can weight variables differently accordingly to how the species presences are affected by them.
Common modelling techniques used for longitudinal growth data are not applicable to the study of bone maturity from childhood to adulthood.
