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Research Article

Lipschitz stability estimate and reconstruction of Lamé parameters in linear elasticity

ORCID Icon, ORCID Icon, &
Pages 396-417 | Received 05 Jun 2019, Accepted 01 Jul 2020, Published online: 27 Jul 2020

Figures & data

Figure 1. Simulation results for Example 1: History of the cost function J and the L-norm of J in the case of ε=0.0 and ρ=0.0.

Figure 1. Simulation results for Example 1: History of the cost function J and the L∞-norm of J′ in the case of ε=0.0 and ρ=0.0.

Figure 2. Simulation results for Example 1: History of the cost function J and the L-norm of J in the case of ε=0.03 and ρ=0.00001.

Figure 2. Simulation results for Example 1: History of the cost function J and the L∞-norm of J′ in the case of ε=0.03 and ρ=0.00001.

Figure 3. Simulation results for Example 1: History of the cost function J and the L-norm of J in the case of ε=0.05 and ρ=0.00001.

Figure 3. Simulation results for Example 1: History of the cost function J and the L∞-norm of J′ in the case of ε=0.05 and ρ=0.00001.

Table 1. Simulation results for Example 1: Reconstruction of constant Lamé parameters.

Figure 4. Simulation results for Example 2: The exact Lamé parameters.

Figure 4. Simulation results for Example 2: The exact Lamé parameters.

Figure 5. Simulation results for Example 2: The computed Lamé parameters (ϵ=0.0 and ρ=0.0).

Figure 5. Simulation results for Example 2: The computed Lamé parameters (ϵ=0.0 and ρ=0.0).

Figure 6. Simulation results for Example 2: The computed Lamé parameters (ϵ=0.03 and ρ=0.0001).

Figure 6. Simulation results for Example 2: The computed Lamé parameters (ϵ=0.03 and ρ=0.0001).

Figure 7. Simulation results for Example 2: Error for λ and μ (ϵ=0.0 and ρ=0.0).

Figure 7. Simulation results for Example 2: Error for λ and μ (ϵ=0.0 and ρ=0.0).

Figure 8. Simulation results for Example 2: Error for λ and μ (ϵ=0.03 and ρ=0.0001).

Figure 8. Simulation results for Example 2: Error for λ and μ (ϵ=0.03 and ρ=0.0001).

Figure 9. Simulation results for Example 2: History of the cost function J and the L-norm of J in the ϵ=0.0 and ρ=0.0.

Figure 9. Simulation results for Example 2: History of the cost function J and the L∞-norm of J′ in the ϵ=0.0 and ρ=0.0.

Figure 10. Simulation results for Example 2: History of the cost function J and the L-norm of J in the case of ϵ=0.03 and ρ=0.0001.

Figure 10. Simulation results for Example 2: History of the cost function J and the L∞-norm of J′ in the case of ϵ=0.03 and ρ=0.0001.

Figure 11. Simulation results for Example 3: The exact Lamé parameters.

Figure 11. Simulation results for Example 3: The exact Lamé parameters.

Figure 12. Simulation results for Example 3: The computed Lamé parameters (ϵ=0.0 and ρ=0.0).

Figure 12. Simulation results for Example 3: The computed Lamé parameters (ϵ=0.0 and ρ=0.0).

Figure 13. Simulation results for Example 3: The computed Lamé parameters (ϵ=0.03 and ρ=0.0001).

Figure 13. Simulation results for Example 3: The computed Lamé parameters (ϵ=0.03 and ρ=0.0001).

Figure 14. Simulation results for Example 3: Error for λ and μ (ϵ=0.0 and ρ=0.0).

Figure 14. Simulation results for Example 3: Error for λ and μ (ϵ=0.0 and ρ=0.0).

Figure 15. Simulation results for Example 3: Error for λ and μ (ϵ=0.03 and ρ=0.0001).

Figure 15. Simulation results for Example 3: Error for λ and μ (ϵ=0.03 and ρ=0.0001).

Figure 16. Simulation results for Example 3: History of the cost function J and the L-norm of J (ϵ=0.0 and ρ=0.0).

Figure 16. Simulation results for Example 3: History of the cost function J and the L∞-norm of J′ (ϵ=0.0 and ρ=0.0).

Figure 17. Simulation results for Example 3: History of the cost function J and the L-norm of J (ϵ=0.03 and ρ=0.0001).

Figure 17. Simulation results for Example 3: History of the cost function J and the L∞-norm of J′ (ϵ=0.03 and ρ=0.0001).

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