Question: The problem is attracted below. Please look at the attached picture and show the steps of the solution. This problem I submitted for the second

The problem is attracted below. Please look at the attached picture and show the steps of the solution. This problem I submitted for the second time. Previously the expert didn't reach the needed correct solutions. Please help the solution from (a) to (h).

The problem is attracted below. Please look at
An LRFD design equation for a single load case must be calibrated to achieve a target reliability level. The resistance and load effect variables for this load case are represented by the random variables R and S, respectively, The coefficients of variation of R and are: oO, = 0.20 and d, = 0.30 Assuming that R and are statistically independent normal random variables: (a) Determine the LRFD design equation in terms of the mean values of the resistance and load effect variables, LL, and [tg respectively, for the target reliability level $' = 2.00. (b) Repeat part (a) for a different target reliability level B' = 4.00. (c) Compare the resistance reduction factor and load amplification factor for cases (a) and (b) and provide comments. The nominal or characteristic values of the resistance and load effect variables, R,, and S, respectively, are defined as the 25 percentile and 75 percentile of the random variables R and S, respectively. (d) Determine the LRFD design equation in terms of the nominal/characteristic values of the resistance and load effect variables, R, and Sy respectively, for the target reliability level B' = 2.00. (e) Repeat part (d) for the target reliability level f' = 4.00. (f) Compare the resistance reduction factor and load amplification factor for cases (d) and (e) and provide comments. (g) Compare the resistance reduction factor and load amplification factor for cases (a)-(b) and (d)-(e), respectively, and provide comments, Assuming that R and S are statistically independent lognormal random variables; (h) Repeat parts (a), (b), (d), (e). Compare the results with their normal distribution counterparts, and comment

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