In a structural reliability problem, the load effect S and resistance R are statistically independent and are modeled using the Gumbel and the Weibull probability distribution (see Table 2 at the end of the Reader), respectively, with the following statistics: µ₂ = 2,000 kips 8 = 0.30 and HR = CSF -μs §₂ = 0.20 where CSF denotes the central safety factor (CSF =). Evaluate numerically the probability of failure Hs Pr according to each of the two following formulas presented in class, for CSF =1.5, 3.0, 5.0. In each case (i.e., each value of CSF): . PF = [FR(S)fs (s) ds s\fs(s)d PF = [[1 - Fs (r)] fr (r) dr • plot the marginal PDFs of R and S on the same (r, s) axis; • plot the normalized (for a unit area) deaggregation of the probability of failure p as a function of s. On the same figure, plot the marginal PDF of S and this deaggregation function. • plot the normalized (for a unit area) deaggregation of the probability of failure pr as a function of r. On the same figure, plot the marginal PDF of R and this deaggregation function.

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Chapter7: Length And Length-related Variables In Engineering
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Problem 43P: A 10 cm long rectangular bar (when subjected to a tensile load) deforms by 0.1 mm. Calculate the...
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Based on the results obtained, comment on the relative importance of the body and the tails of the
distributions of R and S on the probability of failure with increasing central safety factor CSF .

In a structural reliability problem, the load effect S and resistance R are statistically independent and are
modeled using the Gumbel and the Weibull probability distribution (see Table 2 at the end of the Reader),
respectively, with the following statistics:
µ₂ = 2,000 kips
8 = 0.30
and
HR = CSF -μs
§₂ = 0.20
where CSF denotes the central safety factor (CSF =). Evaluate numerically the probability of failure
Hs
Pr according to each of the two following formulas presented in class, for CSF =1.5, 3.0, 5.0.
In each case (i.e., each value of CSF):
.
PF = [FR(S)fs (s) ds
s\fs(s)d
PF = [[1 - Fs (r)] fr (r) dr
• plot the marginal PDFs of R and S on the same (r, s) axis;
• plot the normalized (for a unit area) deaggregation of the probability of failure p as a function of s.
On the same figure, plot the marginal PDF of S and this deaggregation function.
• plot the normalized (for a unit area) deaggregation of the probability of failure pr as a function of r.
On the same figure, plot the marginal PDF of R and this deaggregation function.
Transcribed Image Text:In a structural reliability problem, the load effect S and resistance R are statistically independent and are modeled using the Gumbel and the Weibull probability distribution (see Table 2 at the end of the Reader), respectively, with the following statistics: µ₂ = 2,000 kips 8 = 0.30 and HR = CSF -μs §₂ = 0.20 where CSF denotes the central safety factor (CSF =). Evaluate numerically the probability of failure Hs Pr according to each of the two following formulas presented in class, for CSF =1.5, 3.0, 5.0. In each case (i.e., each value of CSF): . PF = [FR(S)fs (s) ds s\fs(s)d PF = [[1 - Fs (r)] fr (r) dr • plot the marginal PDFs of R and S on the same (r, s) axis; • plot the normalized (for a unit area) deaggregation of the probability of failure p as a function of s. On the same figure, plot the marginal PDF of S and this deaggregation function. • plot the normalized (for a unit area) deaggregation of the probability of failure pr as a function of r. On the same figure, plot the marginal PDF of R and this deaggregation function.
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