Review questions Explain the figure below Explain selected

Review questions • Explain the figure below

Explain selected lines in the Matlab input/output below c =7. 6702 R =0. 2620 -0. 1728 -0. 0275 J = -1. 1982 -1. 5157 -1. 8878 hfun=@(c, t) ((32. 2/c)*(t-(1 -exp(-c*t))/c)) [c, R, J, COVB, MSE]=nlinfit(tf, hfun, capprox) COVB = 0. 0068 MSE =0. 0496 ci=nlparci(c, R, 'covar', COVB) ci =7. 3153 8. 0251 tf=[2. 45 3. 03, 3. 71]; hf=[10 12 15]; vsapprox=hf. /tf = 4. 0816 3. 9604 4. 0431 >> capprox=32. 2/mean(vsapprox) capprox = 7. 9933

Explain Pbox • What situations would produce the p-boxes below • What are the probabilities that the srq is less than 34 in both cases?

Code verification • For 4 meshes with h=1, 0. 5, 0. 25, and 0. 125, the results were, 20, 14. 5, 12. 5, 11. 7. • Write the equations that will allow you to estimate the order of convergence. • Which Matlab function would allow you to solve these equations for the desired order?

Explain selected items on this slide error coefficient order of the method a measure of grid spacing grid level Turbulence model Sp-Al k- Pe/P 0 i 0. 72 (strong shock) 0. 82 (weak shock) estimate of p (observed order of accuracy) 1. 322 1. 578 1. 656 estimate of (neff)exact 0. 71950 0. 81086 0. 82889 Grid level Discretization error (%) 1 14. 298 2 6. 790 3 2. 716 4 1. 086 1 8. 005 2 3. 539 3 1. 185 4 0. 397 1 4. 432 2 1. 452 3 0. 461 4 0. 146

Forensic uncertainty • Explain what is forensic uncertainty, what ‘crimes’ are involved, and what principles of design of validation experiments is it related to. • Give at least two examples of possible need forensic uncertainty for helicopter project.