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Stability iterative method for structural reliability analysis using a chaotic conjugate map

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Abstract

In this paper, an iterative mathematical formula is developed to control instability solutions of first-order reliability method (FORM) using chaotic conjugate map. A nonlinear discrete map is proposed using a conjugate line search and a chaotic step size to search the most probability point. The chaotic step size is adjusted based on a finite-step size using Armijo line search and logistic map. A chaotic control factor is established using stability condition based on the results of the new and previous iterations, namely conjugate chaos control (CCC) method. The unstable solutions (i.e. periodic and chaos) of FORM without control are investigated using several nonlinear mathematical and structural/mechanical problems. The nonlinear conjugate map of FORM is accurately yielded to stable results. The CCC can improve the convergence speed of the FORM for concave and convex nonlinear problems. The CCC is more robust than the FORM algorithm without control and is more efficient than the other modified version algorithms of FORM.

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Abbreviations

CC:

Chaotic conjugate of FORM

CCC:

Chaotic conjugate chaos control

CHL–RF:

Conjugate HL–RF

FORM:

First-order reliability method

FSL:

Finite-step length

HL–RF:

Hasofer and Lind–Rackwitz and Fiessler method

IHL–RF:

Improved HL–RF method

LSF:

Limit state function

MCS:

Monte Carlo simulation

RHL–RF:

Relaxed HL–RF

STM:

Stability transformation method

\(g({{\mathbf {X}}})\) :

Limit state function

\(g({{\mathbf {X}}})\le 0\) :

Failure region

\(f_{X}\) :

Joint probability density function

\({{\mathbf {U}}}^{*}, {{\mathbf {X}}}^{*}\) :

Most probable point (MPP) in U-space, X-space

\({{\mathbf {U}}}_{k}^{\mathrm{CC}}\) :

Point of the chaotic conjugate (CC) formula

\({{\mathbf {X}}}\) :

Basic random variables

\(\beta \) :

Reliability index

\(P_\mathrm{f}\) :

Failure probability

\(\varPhi \) :

Standard normal cumulative distribution function

\(\xi \) :

Chaos control factor

\({\varvec{\alpha }}_{k}\) :

Negative unit normal vector

\({\varvec{\alpha }}_{k}^{C}\) :

Conjugate unit vector

\({{\mathbf {d}}}_{k}\) :

Conjugate search direction vector

\(\lambda \) :

Finite-step size

\(c_\mathrm{m}\) :

Chaotic adjusting coefficient

\(f^{C}(u_{k})\) :

Discrete conjugate dynamical map

\(\mu , \sigma \) :

Mean, standard deviation

\(\rho ({{\mathbf {J}}})\) :

Jacobian matrix

References

  1. Du, X., Hu, Z.: First order reliability method with truncated random variables. J. Mech. Des. 134(9), 0910051–0910058 (2012)

    Article  Google Scholar 

  2. Santosh, T.V., Saraf, R.K., Ghosh, A.K., Kushwaha, H.S.: Optimum step length selection rule in modified HL-RF method for structural reliability. Int. J. Press Vessels Piping 83, 742–748 (2006)

    Article  Google Scholar 

  3. Hasofer, A.M., Lind, N.C.: Exact and invariant second-moment code format. J. Eng. Mech. Div. ASCE 100(1), 111–121 (1974)

    Google Scholar 

  4. Rackwitz, R., Fiessler, B.: Structural reliability under combined random load sequences. Comput Struct. 9, 489–494 (1978)

    Article  MATH  Google Scholar 

  5. Keshtegar, B., Miri, M.: An enhanced HL–RF method for the computation of structural failure probability based on relaxed approach. Civ. Eng. Infrastruct. 1(1), 69–80 (2013)

    Google Scholar 

  6. Yang, D.: Chaos control for numerical instability of first order reliability method. Commun. Nonlinear Sci. Numer. Simulat. 5, 3131–3141 (2010)

    Article  MATH  Google Scholar 

  7. Liu, P.L., Kiureghian, A.D.: Optimization algorithms for structural reliability. Struct. Safe 9, 161–177 (1991)

    Article  Google Scholar 

  8. Santos, S.R., Matioli, L.C., Beck, A.T.: New optimization algorithms for structural reliability analysis. Comput. Model. Eng. Sci. 83(1), 23–56 (2012)

    MathSciNet  Google Scholar 

  9. Gong, J.X., Yi, P.: A robust iterative algorithm for structural reliability analysis. Struct. Multidisc. Optim. 43, 519–527 (2011)

    Article  MATH  Google Scholar 

  10. Keshtegar, B., Miri, M.: Introducing conjugate gradient optimization for modified HL–RF Method. Eng. Comput. 31(4), 775–790 (2014)

    Article  Google Scholar 

  11. Keshtegar, B., Miri, M.: Reliability analysis of corroded pipes using conjugate HL–RF algorithm based on average shear stress yield criterion. Eng. Fail. Anal. 46(1), 104–117 (2014)

    Article  Google Scholar 

  12. Schmelcher, P., Diakonos, F.K.: Detecting unstable periodic orbits of chaotic dynamical systems. Phys. Rev. Lett. 78(25), 4733–4736 (1997)

    Article  Google Scholar 

  13. Salarieh, H., Kashani, S.M.M., Vossoughi, G., Alasty, A.: Stabilizing unstable fixed points of discrete chaotic systems via quasi-sliding mode method. Commun. Nonlinear Sci. Numer. Simul. 14, 839–849 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  14. Pingel, D., Schmelcher, P., Diakonos, F.K.: Stability transformation: a tool to solve nonlinear problems. Phys. Rep. 400, 67–148 (2004)

    Article  MathSciNet  Google Scholar 

  15. Yang, D.X., Yi, P.: Numerical instabilities and convergence control for convex approximation methods. Nonlinear Dyn. 61, 605–622 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  16. Yang, D.X., Yi, P.: Chaos control of performance measure approach for evaluation of probabilistic constraints. Struct. Multidiscip. Optim. 38, 83–92 (2009)

    Article  MathSciNet  Google Scholar 

  17. Lu, A., Liu, H., Zheng, X., Cong, W.: A variant spectral-type FR conjugate gradient method and its global convergence. Appl. Math. Comput. 217, 5547–5552 (2011)

    MathSciNet  MATH  Google Scholar 

  18. Tavazoei, M.S., Haeri, M.: Comparison of different one-dimensional maps as chaotic search pattern in chaos optimization algorithms. Appl Math Comput. 187, 1076–1085 (2007)

  19. Alpar, O.: Analysis of a new simple one-dimensional chaotic map. Nonlinear Dyn. 78, 771–778 (2014)

    Article  MathSciNet  Google Scholar 

  20. Wu, G.C., Baleanu, D.: Discrete fractional logistic map and its chaos. Nonlinear Dyn. 75, 283–287 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  21. Zhao, Y.G., Lu, Z.H.: Fourth-moment standardization for structural reliability assessment. J. Struct. Eng. 133(7), 916–924 (2007)

    Article  Google Scholar 

  22. Hurtado, J.E., Alvarez, D.A.: The encounter of interval and probabilistic approaches to structural reliability at the design point. Comput. Methods Appl. Mech. Eng. 225–228, 74–94 (2012)

    Article  MathSciNet  MATH  Google Scholar 

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Keshtegar, B. Stability iterative method for structural reliability analysis using a chaotic conjugate map. Nonlinear Dyn 84, 2161–2174 (2016). https://doi.org/10.1007/s11071-016-2636-1

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