Skip to main content

Table 3 1D truss: influence of the adaptive parameters \(N_p\) and \(p_0\) using the same relation (\(N_p \cdot p_0 = 10\)) in the adaptive design point estimation using the analytic limit state function (50 runs with \(N=5000\))

From: Efficient structural reliability analysis by using a PGD model in an adaptive importance sampling schema

\(\varvec{N_{p}}\)

\(\varvec{p}_{\mathbf{0}}\)

\(\varvec{N}_{\mathbf{total}}\)

\({\frac{|\overline{\mathbf{P}_\mathbf{f }}-\mathbf{P }_{\mathbf{f }_\mathbf{ref }}|}{\mathbf{P }_{\mathbf{f}_\mathbf{ref }}}}\)

\(\mathbf{std (\mathbf{P }_\mathbf{f })}\)

\({\overline{\sqrt{(\mathbf{V} \mathbf{ar} (\mathbf{P }_\mathbf{f })}}}\)

50

0.2

5464

2.34\(\cdot 10^{-3}\)

5.93\(\cdot 10^{-8}\)

6.04\(\cdot 10^{-8}\)

100

0.1

5646

3.25\(\cdot 10^{-3}\)

6.97\(\cdot 10^{-8}\)

6.05\(\cdot 10^{-8}\)

200

5\(\cdot 10^{-2}\)

6000

7.56\(\cdot 10^{-3}\)

5.84\(\cdot 10^{-8}\)

5.63\(\cdot 10^{-8}\)

1000

1\(\cdot 10^{-2}\)

8000

2.79\(\cdot 10^{-3}\)

4.61\(\cdot 10^{-8}\)

5.26\(\cdot 10^{-8}\)

  1. The failure probability is given with respect to \(P_{f_{ref}}=1.18 \times 10^{-6}\) computed with \(N_p=1000\), \(p_0=0.1\) and \(N=25,600\) in 50 runs