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Original Articles

Solution of Cauchy problem to stationary heat conduction equation by modified method of elementary balances with interpolation of the solution in physical plane

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Pages 341-360 | Received 09 Sep 2008, Accepted 08 Jan 2010, Published online: 05 Mar 2010

Figures & data

Figure 1. Arrangement of six mesh nodes of a triangular element or four nodes in a quadrilateral one.

Figure 1. Arrangement of six mesh nodes of a triangular element or four nodes in a quadrilateral one.

Table 1. The numbers j1 and j2 of the straight line for the ith base function.

Figure 2. Four-node and nine-node elements of a quadrilateral mesh. The solid line denotes an interpolation mesh, while the broken one is for the balance mesh.

Figure 2. Four-node and nine-node elements of a quadrilateral mesh. The solid line denotes an interpolation mesh, while the broken one is for the balance mesh.

Figure 3. Six-node element of a triangular mesh; an example of control surface formulation (broken line): (a) polygonal region of balancing around node and (b) circular region of balancing.

Figure 3. Six-node element of a triangular mesh; an example of control surface formulation (broken line): (a) polygonal region of balancing around node and (b) circular region of balancing.

Figure 4. Scheme of generation of system of equations in MCVM.

Figure 4. Scheme of generation of system of equations in MCVM.

Figure 5. Region Ω: (a) circular ring, (b) elliptical ring, and (c) elliptical ring with displaced boundaries.

Figure 5. Region Ω: (a) circular ring, (b) elliptical ring, and (c) elliptical ring with displaced boundaries.

Figure 6. Boundary conditions for (a) direct problem (coefficient of heat exchange α on the boundary of the ring) and (b) inverse problem (temperature and density of heat flux on the outer boundary of the ring) in Example 1.

Figure 6. Boundary conditions for (a) direct problem (coefficient of heat exchange α on the boundary of the ring) and (b) inverse problem (temperature and density of heat flux on the outer boundary of the ring) in Example 1.

Figure 7. Boundary conditions for (a) direct problem (coefficient of heat exchange α on the boundary of the ring) and (b) inverse problem (temperature and density of heat flux on the outer boundary of the ring) in Example 2.

Figure 7. Boundary conditions for (a) direct problem (coefficient of heat exchange α on the boundary of the ring) and (b) inverse problem (temperature and density of heat flux on the outer boundary of the ring) in Example 2.

Figure 8. Boundary conditions for (a) direct problem (coefficient of heat exchange α on the boundary of the ring) and (b) inverse problem (temperature and density of heat flux on the outer boundary of the ring) in Example 3.

Figure 8. Boundary conditions for (a) direct problem (coefficient of heat exchange α on the boundary of the ring) and (b) inverse problem (temperature and density of heat flux on the outer boundary of the ring) in Example 3.

Figure 9. Boundary conditions for (a) direct problem (coefficient of heat exchange α on the boundary of the ring) and (b) inverse problem (temperature and density of heat flux on the outer boundary of the ring) in Example 4.

Figure 9. Boundary conditions for (a) direct problem (coefficient of heat exchange α on the boundary of the ring) and (b) inverse problem (temperature and density of heat flux on the outer boundary of the ring) in Example 4.

Table 2. Parameters of meshes of finite elements used in the numerical calculations.

Figure 10. Distribution (a) temperature and (b) density of heat flux on inner boundary of ring for undisturbed data, f = 5 in Example 1.

Figure 10. Distribution (a) temperature and (b) density of heat flux on inner boundary of ring for undisturbed data, f = 5 in Example 1.

Figure 11. Distribution (a) temperature and (b) density of heat flux on inner boundary of ring for undisturbed data, f = 3 in Example 2.

Figure 11. Distribution (a) temperature and (b) density of heat flux on inner boundary of ring for undisturbed data, f = 3 in Example 2.

Figure 12. Distributions (a) temperature and b) density of heat flux on inner boundary of ring for undisturbed data, f = 5 for triangular element and f = 3 for quadrilateral element in Example 3.

Figure 12. Distributions (a) temperature and b) density of heat flux on inner boundary of ring for undisturbed data, f = 5 for triangular element and f = 3 for quadrilateral element in Example 3.

Figure 13. Distribution (a) temperature and (b) density of heat flux on inner boundary of ring for undisturbed data f = 3 in Example 4.

Figure 13. Distribution (a) temperature and (b) density of heat flux on inner boundary of ring for undisturbed data f = 3 in Example 4.

Table 3. Comparison of relative errors in the norm (17) for the temperature with respect to the problem type, the f parameter of the SVD algorithm and the number of base functions m serving for smoothing the disturbed boundary conditions in Example 1.

Table 4. Comparison of relative errors in the norm (17) for the temperature with respect to the problem type, the f parameter of the SVD algorithm, and the number of base functions m serving for smoothing the disturbed boundary conditions in Example 2.

Table 5. Comparison of relative errors in the norm (17) for the temperature with respect to the problem type, the f parameter of the SVD algorithm, and the number of base functions m serving for smoothing the disturbed boundary conditions in Example 3.

Table 6. Comparison of relative errors in the norm (17) for the temperature with respect to the problem type, the f parameter of the SVD algorithm, and the number of base functions m serving for smoothing the disturbed boundary conditions in Example 4.

Table 7. Comparison of relative errors in the norm (17) for the flux with respect to the problem type, the f parameter of the SVD algorithm and the number of base functions m serving for smoothing the disturbed boundary conditions in Example 1.

Table 8. Comparison of relative errors in the norm (17) for the flux with respect to the problem type, the f parameter of the SVD algorithm, and the number of base functions m serving for smoothing the disturbed boundary conditions in Example 3.

Table 9. Comparison of relative errors in the norm (17) for the flux with respect to the problem type, the f parameter of the SVD algorithm, and the number of base functions m serving for smoothing the disturbed boundary conditions in Example 2.

Table 10. Comparison of relative errors in the norm (17) for the flux with respect to the problem type, the f parameter of the SVD algorithm, and the number of base functions m serving for smoothing the disturbed boundary conditions in Example 4.

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