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The geometric and semantic modeling of elements is the next step; this level of model construction uses geometric primitives and data models either established or adapted to the objective in question.
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Moreover numerical modeling of element tests yields several solutions.
The 3D finite element analyses (FEA) were performed with the appropriate modeling of element size and mesh, and the constitutive modeling of concrete.
The extensions of the topology optimization method in this first part include coupled and non-linear finite element analyses, constitutive modelling of elements with intermediate densities, adjoint sensitivity analyses and formulation of optimization problems with multiple constraints.
Using data fitting or automatic parameters estimation techniques for building data-driven models of elements of the nervous system, in particular neurons, is becoming more and more popular [45], [56] [62].
What we are proposing here is a model of elements for consideration by designers of, and participants in, workplace-based learning in the context of multimorbidity in primary care.
Associated with this, we intend to improve the accuracy of TinT analyses by introducing an asymmetric model of element activity, whereby elements will not necessary reach their highest probability of activity at the center of their activity range.
The recognition results can be used to label the 3D points, which could facilitate the modeling of building elements.
The risk assessment involves the analyses of natural and industrial analogs to scenario development and modeling of specific elements of systems to whole system comprehensive methodologies.
The intermittent and non-linear properties of PV solar cells necessitate accurate modeling of such elements for power system studies.
Finally, the above two properties are demonstrated vividly by a finite element model of beam elements, and the accuracy of the proposed method is proven by another finite element model of shell elements.
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