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Original Articles

An inverse POD-RBF network approach to parameter estimation in mechanics

, , , &
Pages 749-767 | Received 08 May 2012, Accepted 09 May 2012, Published online: 20 Jun 2012

Figures & data

Figure 1. Illustration of square domain for heat conduction case with nodal location numbering.

Figure 1. Illustration of square domain for heat conduction case with nodal location numbering.

Table 1. Truncated eigenvalues of the square region heat conduction case.

Figure 2. Comparison of exact solution against the POD estimation of temperature distribution for the square region as well as percent error.

Figure 2. Comparison of exact solution against the POD estimation of temperature distribution for the square region as well as percent error.

Figure 3. Comparison of the POD-RBF estimate of thermal conductivity against the measured data for the square region.

Figure 3. Comparison of the POD-RBF estimate of thermal conductivity against the measured data for the square region.

Table 2. POD-RBF estimated spatially dependent thermal conductivity constants and their errors.

Figure 4. Comparison of the measured noisy (±0.5°) data against the POD estimation of temperature distribution for the square region.

Figure 4. Comparison of the measured noisy (±0.5°) data against the POD estimation of temperature distribution for the square region.

Table 3. Spatially dependent thermal conductivity constants and their corresponding errors with noise added to represent empirical data collection.

Figure 5. Comparison of the POD-RBF estimate of thermal conductivity against the measured noisy (±0.5°) data for the square region.

Figure 5. Comparison of the POD-RBF estimate of thermal conductivity against the measured noisy (±0.5°) data for the square region.

Figure 6. Comparison of selected analytical eigenfunctions to POD basis versus node number in the square region with the corresponding indices shown below each figure.

Figure 6. Comparison of selected analytical eigenfunctions to POD basis versus node number in the square region with the corresponding indices shown below each figure.

Figure 7. Illustration of the L-shaped region for the heat conduction case.

Figure 7. Illustration of the L-shaped region for the heat conduction case.

Table 4. Truncated eigenvalues of the L-region heat conduction case.

Figure 8. Comparison of the measured data against the POD estimation of temperature distribution for the L-region.

Figure 8. Comparison of the measured data against the POD estimation of temperature distribution for the L-region.

Figure 9. Comparison of the POD-RBF estimate of thermal conductivity against measured data for the L-region.

Figure 9. Comparison of the POD-RBF estimate of thermal conductivity against measured data for the L-region.

Table 5. Comparison of the measured and POD-RBF estimations of thermal conductivity of the L-region.

Figure 10. Comparison of the measured noisy (±0.5°) data against the POD estimation of temperature distribution for the L-region.

Figure 10. Comparison of the measured noisy (±0.5°) data against the POD estimation of temperature distribution for the L-region.

Figure 11. Comparison of the POD-RBF estimate of thermal conductivity against the measured noisy (±0.5°) data for the L–region.

Figure 11. Comparison of the POD-RBF estimate of thermal conductivity against the measured noisy (±0.5°) data for the L–region.

Table 6. Comparison of the measured and POD-RBF estimations of thermal conductivity of the L–region.

Figure 12. Comparison of analytical eigenfunctions to POD basis versus node number in the L-shaped domain with the corresponding indices shown below each figure.

Figure 12. Comparison of analytical eigenfunctions to POD basis versus node number in the L-shaped domain with the corresponding indices shown below each figure.

Table 7. Truncated eigenvalues for the 3D elasticity case.

Figure 13. 3D bar in tension.

Figure 13. 3D bar in tension.

Figure 14. Comparison of FEM solution against the POD-RBF approximation of the deflection in for an elastic beam under tension and the accompanying percentage nodal error.

Figure 14. Comparison of FEM solution against the POD-RBF approximation of the deflection in for an elastic beam under tension and the accompanying percentage nodal error.

Table 8. Comparison of the actual and POD-RBF estimations of material parameters for 3D elasticity.

Figure 15. Comparison of the POD-RBF approximation against the noisy data (±10%) in each Cartesian direction for 3D elasticity.

Figure 15. Comparison of the POD-RBF approximation against the noisy data (±10%) in each Cartesian direction for 3D elasticity.

Table 9. Comparison of the actual and POD-RBF estimations of material parameters for noisy data (±10%) measurements in 3D elasticity.

Figure 16. Model of compact tension specimen.

Figure 16. Model of compact tension specimen.

Table 10. Truncated eigenvalues of fracture mechanics application.

Figure 17. Deformation (left) and error (right) for ±10% noise solution under Mode 1 loading.

Figure 17. Deformation (left) and error (right) for ±10% noise solution under Mode 1 loading.

Table 11. POD-RBF estimated crack lengths at various amounts of added noise.

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