Sentence examples for modelling results to from inspiring English sources

Comparison of the modelling results to displacements measured using borehole extensometers show that the constitutive model and lab-derived parameters used were effective in predicting the rockmass behaviour.

It also allows rigorous testing of the robustness of IA modelling results to the use of different component modules representing the same processes (for example, the economy).

They also highlight the potential sensitivity of modelling results to inlet boundary condition assumptions and emphasise the need to adequately account for upstream influences when applying CFD techniques to the simulation of industrial flows.

Proven approaches for applying modelling results to decision-making and collaboration case studies are of keen interest in health care operations research.

The third relevant issue for knowledge base consolidation is related to the presentation and visualization of modelling results to the end users.

Given that our experiments to determine the specific receptors for Cry8Ka1 toxins are currently in development, the use of the molecular modelling results to explain how differences in toxicity could be caused by the specific residues changes is somewhat speculative.

Accordingly, a method was developed that includes both the determination of representative OSR locations for modelling the dispersal at a field scale and the subsequent generalisation of the modelling result to the landscape level at a regional scale (up-scaling).

The modelling results produced to date indicate that due to the complexity of the global economy, no significant reduction in model uncertainty should be expected in the near future [ 36].

This study shows that the impact of input data uncertainty on modelling results need to be assessed: whenever the models are applied under new conditions, local data should be used for both input and result comparison.

The modelling results are to be transferred later with GIS techniques and statistic procedures by analogy reasoning to areas for which the modelling sites are representative.

This study shows that especially for process-based modelling approaches, not only comprehensive validation and calibration approaches need to be applied, but also knowledge of input data uncertainty and variability of the modelling results need to be assessed.