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In practice, an increased resolution rendered by a global refinement value of 7 does not seem to have noticeable changes on the results.
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a Global refinement of 2 and b global refinement of 4. Large uncertainties exist in thermal conductivity and heat production rate measurements; a Monte Carlo approach is introduced to study how those uncertainties affect thermal structure results.
As a result, a global refinement value defines the model resolution.
As expected, for a given number of DOF a more accurate solution can be achieved by adaptive, local h-refinement, as compared to global refinement in a fully matching setting.
The advantage is guaranteed convergence for a large class of data and solutions; the disadvantage is a global mesh refinement everywhere accompanied by large computational costs.
Fig. 4 Example of global refinement values.
To avoid nonsensical increase in computational cost caused by global grid refinement, an adaptive algorithm is designed.
Solutions found by GAs are improved by a new refinement method, based on TS, a global optimisation method which is loosely based on artificial intelligence.
The models 1 and 2 were fitted to the experimental data [18] by an initial global regression step followed by a local refinement step.
In Fig. 15(c), we compare the error obtained by global uniform refinement and by the described adaptive refinement.
In this paper, we introduce Mesh Scaling, a new global mesh refinement technique for building series of all-hexahedral meshes for solution verification, without the 8X multiplier.
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