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Research Article

Nonlocal viscoelastic Euler-Bernoulli beam model: a Bayesian approach for parameter estimation using the delayed rejection adaptive metropolis algorithm

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Pages 1672-1701 | Received 11 Mar 2020, Accepted 05 Dec 2020, Published online: 28 Dec 2020

Figures & data

Table 1. Basic mechanical and geometrical properties of the SWCNT.

Table 2. First three undamped natural frequencies of the local model (e0a=0 and Δ=0).

Table 3. Nonlocal and viscoelastic parameters adopted for the parametric analysis of the undamped natural frequencies and damping ratios.

Figure 1. Nonlocal and viscoelastic effects on the first normalized undamped natural frequency ω1/ω1 (a) and damping ratio ζ1 (b).

Figure 1. Nonlocal and viscoelastic effects on the first normalized undamped natural frequency ω1/ω1′ (a) and damping ratio ζ1 (b).

Figure 2. Nonlocal and viscoelastic effects on the second normalized undamped natural frequency ω2/ω2 (a) and damping ratio ζ2 (b).

Figure 2. Nonlocal and viscoelastic effects on the second normalized undamped natural frequency ω2/ω2′ (a) and damping ratio ζ2 (b).

Figure 3. Nonlocal and viscoelastic effects on the third normalized undamped natural frequency ω3/ω3 (a) and damping ratio ζ3 (b).

Figure 3. Nonlocal and viscoelastic effects on the third normalized undamped natural frequency ω3/ω3′ (a) and damping ratio ζ3 (b).

Table 4. Viscoelastic and nonlocal parameters adopted in the inverse problems of Cases 1 and 2.

Table 5. Reference values for the undamped natural frequencies and damping ratios for Cases 1 and 2.

Table 6. Cases 1 and 2 addressed in the inverse problem of parameter estimation.

Figure 4. (a) Markov Chains and (b) Marginal PDFs for e0a – Cases 1A, 1B and 1C. Note: dashed lines indicate the reference value.

Figure 4. (a) Markov Chains and (b) Marginal PDFs for e0a – Cases 1A, 1B and 1C. Note: dashed lines indicate the reference value.

Figure 6. (a) Markov Chains and (b) Marginal PDFs for Ω – Cases 1A, 1B and 1C. Note: dashed lines indicate the reference value.

Figure 6. (a) Markov Chains and (b) Marginal PDFs for Ω – Cases 1A, 1B and 1C. Note: dashed lines indicate the reference value.

Figure 5. (a) Markov Chains and (b) Marginal PDFs for Δ – Cases 1A, 1B and 1C. Note: dashed lines indicate the reference value.

Figure 5. (a) Markov Chains and (b) Marginal PDFs for Δ – Cases 1A, 1B and 1C. Note: dashed lines indicate the reference value.

Table 7. Parameter estimation results: Cases 1A, 1B and 1C.

Figure 7. Marginal posterior distributions (diagonal plots) and scatter plots of model parameters - Cases 1A, 1B and 1C.

Figure 7. Marginal posterior distributions (diagonal plots) and scatter plots of model parameters - Cases 1A, 1B and 1C.

Figure 8. (a) Markov Chains and (b) Marginal PDFs for e0a – Cases 2A, 2B and 2C. Note: dashed lines indicate the reference value.

Figure 8. (a) Markov Chains and (b) Marginal PDFs for e0a – Cases 2A, 2B and 2C. Note: dashed lines indicate the reference value.

Figure 9. (a) Markov Chains and (b) Marginal PDFs for Δ – Cases 2A, 2B and 2C. Note: dashed lines indicate the reference value.

Figure 9. (a) Markov Chains and (b) Marginal PDFs for Δ – Cases 2A, 2B and 2C. Note: dashed lines indicate the reference value.

Figure 10. (a) Markov Chains and (b) Marginal PDFs for Ω – Cases 2A, 2B and 2C. Note: dashed lines indicate the reference value.

Figure 10. (a) Markov Chains and (b) Marginal PDFs for Ω – Cases 2A, 2B and 2C. Note: dashed lines indicate the reference value.

Figure 11. (a) Markov Chains and (b) Marginal PDFs for d – Cases 2A, 2B and 2C. Note: dashed lines indicate the reference value.

Figure 11. (a) Markov Chains and (b) Marginal PDFs for d – Cases 2A, 2B and 2C. Note: dashed lines indicate the reference value.

Figure 12. Marginal posterior distributions (diagonal plots) and scatter plots of model parameters – Cases 2A, 2B and 2C.

Figure 12. Marginal posterior distributions (diagonal plots) and scatter plots of model parameters – Cases 2A, 2B and 2C.

Table 8. Parameter estimation results: Cases 2A, 2B and 2C.

Table 9. Viscoelastic and nonlocal parameters adopted to generate the synthetic data in Case 3.

Table 10. Reference values for the undamped natural frequencies and damping ratios for Case 3.

Table 11. Case 3 addressed in the inverse problem of parameter estimation.

Figure 13. Marginal posterior distributions (diagonal plots) and scatter plots of model parameters – Case 3.

Figure 13. Marginal posterior distributions (diagonal plots) and scatter plots of model parameters – Case 3.

Table 12. Parameter estimation results: Case 3.

Figure 14. Frequency Response Function of the reference model along with the mean and 99% credibility interval predicted by the model used in the inversion.

Figure 14. Frequency Response Function of the reference model along with the mean and 99% credibility interval predicted by the model used in the inversion.

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