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
Du, X., Hu, Z.: First order reliability method with truncated random variables. J. Mech. Des. 134(9), 0910051–0910058 (2012)
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)
Hasofer, A.M., Lind, N.C.: Exact and invariant second-moment code format. J. Eng. Mech. Div. ASCE 100(1), 111–121 (1974)
Rackwitz, R., Fiessler, B.: Structural reliability under combined random load sequences. Comput Struct. 9, 489–494 (1978)
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)
Yang, D.: Chaos control for numerical instability of first order reliability method. Commun. Nonlinear Sci. Numer. Simulat. 5, 3131–3141 (2010)
Liu, P.L., Kiureghian, A.D.: Optimization algorithms for structural reliability. Struct. Safe 9, 161–177 (1991)
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)
Gong, J.X., Yi, P.: A robust iterative algorithm for structural reliability analysis. Struct. Multidisc. Optim. 43, 519–527 (2011)
Keshtegar, B., Miri, M.: Introducing conjugate gradient optimization for modified HL–RF Method. Eng. Comput. 31(4), 775–790 (2014)
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)
Schmelcher, P., Diakonos, F.K.: Detecting unstable periodic orbits of chaotic dynamical systems. Phys. Rev. Lett. 78(25), 4733–4736 (1997)
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)
Pingel, D., Schmelcher, P., Diakonos, F.K.: Stability transformation: a tool to solve nonlinear problems. Phys. Rep. 400, 67–148 (2004)
Yang, D.X., Yi, P.: Numerical instabilities and convergence control for convex approximation methods. Nonlinear Dyn. 61, 605–622 (2010)
Yang, D.X., Yi, P.: Chaos control of performance measure approach for evaluation of probabilistic constraints. Struct. Multidiscip. Optim. 38, 83–92 (2009)
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)
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)
Alpar, O.: Analysis of a new simple one-dimensional chaotic map. Nonlinear Dyn. 78, 771–778 (2014)
Wu, G.C., Baleanu, D.: Discrete fractional logistic map and its chaos. Nonlinear Dyn. 75, 283–287 (2014)
Zhao, Y.G., Lu, Z.H.: Fourth-moment standardization for structural reliability assessment. J. Struct. Eng. 133(7), 916–924 (2007)
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)
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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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DOI: https://doi.org/10.1007/s11071-016-2636-1