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In order to ensure the relationships identified by each modeling technique were not due to chance alone, we used a target shuffling technique (Nisbet et al., 2009).
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After that, a detailed finite element model using cohesive modeling technique was utilized to model the shear strength distribution of the metallic composite during the blanking test.
The bond graph modeling technique is used for modeling the asymmetric rotor.
Furthermore, the pneumatic modeling technique is used to model the entire anode side of a fuel cell station.
For this purpose, a Voronoi-based atomistic modeling technique is used to obtain numerical models of the proposed hybrid structures and their mechanical properties under tensile and compressive loading conditions are investigated by classical molecular dynamics.
In order to alleviate the computational cost, Kriging modeling technique is adopted to generate the surrogate models of structural responses under multiple load cases.
Partial least squares, a structural equation modeling technique, was used to evaluate the proposed model for explanatory power and hypotheses testing.
A critical analysis of the effect of different modeling parameters and finally the advantages and disadvantages of each modeling technique is outlined.
Interestingly, this modeling technique is also intimately linked to HWP: "Our main modeling assumptions are Hardy-Weinberg equilibrium within populations and complete linkage equilibrium between loci within populations" (Pritchard et al. 2000, 946; cf. Winther 2014, 210 212).
The effect of scaled down model size and material on the accuracy of the modeling technique is thoroughly examined.
The gray-box modeling technique is very valuable whenever a knowledge-based model exists, but is not fully satisfactory and cannot be improved by further analysis (or can only be improved at a very large computational cost).
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