Examples of using Computational domain in English and their translations into Croatian
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Consequently, the computational domain contains 78,141 nodes.
Picture 1- The example of a complex surface as a part of the computational domain.
Let the computational domain be a parallelepiped, and the computational mesh of nodes set.
Zero heat flux is specified as a boundary condition at the boundaries of the computational domain.
The computational domain contains of four parallelepipeds and a particularity in the form of an asterisk in the center.
Now we can examine the behavior of the temperature in the central point of the computational domain.
Due to the arbitrariness of the computational domain, where equation(1) is set, there is no analytical solution for this equation.
The mesh step along each coordinate axis is 1.0 m. Consequently, the computational domain contains 78,141 nodes.
The computational domain is filled with material, whose volumetric heat capacity in the thawed and frozen states is equal to.
In this paper,we focus on modification of the scheme to account for convection in the computational domain.
When properly used,adaptive partitioning of the computational domain is a powerful tool in numerical computations to increase accuracy.
The boundary is the boundary between a material(ground) and the environment as well as the boundary of the computational domain.
While solving problems in practice,sometimes a complex geometric configuration of the computational domain(for example, see Figure 1) is used, and therefore, the drawback, mentioned above, is enough critical.
The computation of extensive regions and long ormassive objects often involves many elements for discretization in the computational domain.
The computational time depending on the number of nodes in the computational domain is given in Table 3 and Figure 3.
Require increased computational mesh density,consequently significantly increasing the total amount of nodes in the computational domain.
In this article, we describe the theoretical advantages and disadvantages of using adaptive partitioning of the computational domain, and also give two examples for numerical computations of thermal fields in ground.
Answer: Even if we divide the computational domain into two parts, it is impossible to set an adequate boundary condition on the obtained borders because the thermal field from the first part influences the thermal field of the second.
Note: that this article does not analyze the accuracy of the calculations andthe dependence of accuracy of the obtained solution on the level of computational domain discretization.
A boundary condition of the second type(zero flow)is specified at the boundary of the computational domain, a boundary condition of the third type is specified for SCD, where the ambient temperature is -20.0 °C, and the heat transfer coefficient is equal to.
In order to verify the impact of rough discretization on the obtained result, we perform numerical computation andconsider the dependence of temperature on time in the center of the computational domain for both the uniform and adaptive meshes Figure 1.
Summing up the advantages anddisadvantages of applying adaptive partitioning of the computational domain, we note that the application of this option makes sense when the domain contains elements whose geometric features are much smaller than the dimensions of the computational domain.
Due to the aforesaid,there is quite a natural problem of the geometrical configuration approximation of computational domain by cell faces of the given orthogonal hexahedral mesh.
This means that informed users can employ their experience to get a more accurate computation without significantly increasing the computation time by specifying the areas of the computational domain in which, in their opinion, it is necessary to apply more detailed partitioning(use a smaller spatial step) as compared to the rest of the computational domain.
This means that informed users can employ their experience to get a more accurate computation without significantly increasing the computation time by specifying the areas of the computational domain in which, in their opinion, it is necessary to apply more detailed partitioning(use a smaller spatial step) as compared to the rest of the computational domain. .