A hybrid conjugate finite-step length method for robust and efficient reliability analysis
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[1] P. Hao,et al. A hybrid self-adjusted mean value method for reliability-based design optimization using sufficient descent condition , 2017 .
[2] Behrooz Keshtegar,et al. Limited conjugate gradient method for structural reliability analysis , 2017, Engineering with Computers.
[3] B. Keshtegar,et al. Relaxed performance measure approach for reliability-based design optimization , 2016 .
[4] B. Keshtegar. Chaotic conjugate stability transformation method for structural reliability analysis , 2016 .
[5] Ikjin Lee,et al. Post optimization for accurate and efficient reliability‐based design optimization using second‐order reliability method based on importance sampling and its stochastic sensitivity analysis , 2016 .
[6] B. Keshtegar. Stability iterative method for structural reliability analysis using a chaotic conjugate map , 2016 .
[7] Ikjin Lee,et al. Reliability analysis and reliability-based design optimization of roadway horizontal curves using a first-order reliability method , 2015 .
[8] L. C. Matioli,et al. HLRF–BFGS optimization algorithm for structural reliability , 2015 .
[9] Hailong Zhao,et al. An efficient reliability method combining adaptive importance sampling and Kriging metamodel , 2015 .
[10] Pan Wang,et al. Efficient structural reliability analysis method based on advanced Kriging model , 2015 .
[11] Ikjin Lee,et al. Second‐order reliability method‐based inverse reliability analysis using Hessian update for accurate and efficient reliability‐based design optimization , 2014 .
[12] B. Keshtegar,et al. Reliability analysis of corroded pipes using conjugate HL–RF algorithm based on average shear stress yield criterion , 2014 .
[13] Ikjin Lee,et al. Probabilistic sensitivity analysis for novel second-order reliability method (SORM) using generalized chi-squared distribution , 2014 .
[14] B. Keshtegar,et al. Introducing conjugate gradient optimization for modified HL-RF method , 2014 .
[15] Shuxiang Guo,et al. An efficient third-moment saddlepoint approximation for probabilistic uncertainty analysis and reliability evaluation of structures , 2014 .
[16] Mahmoud Miri,et al. An Enhanced HL-RF Method for the Computation of Structural Failure Probability Based On Relaxed Approach , 2013 .
[17] Xianzhen Huang,et al. Reliability–sensitivity analysis using dimension reduction methods and saddlepoint approximations , 2013 .
[18] M. Miri,et al. A new efficient simulation method to approximate the probability of failure and most probable point , 2012 .
[19] Wah June Leong,et al. A new class of nonlinear conjugate gradient coefficients with global convergence properties , 2012, Appl. Math. Comput..
[20] Li Zhang,et al. A new globalization technique for nonlinear conjugate gradient methods for nonconvex minimization , 2011, Appl. Math. Comput..
[21] Jinxin Gong,et al. A robust iterative algorithm for structural reliability analysis , 2011 .
[22] Zhiwei Xu,et al. The convergence of conjugate gradient method with nonmonotone line search , 2010, Appl. Math. Comput..
[23] Dixiong Yang. Chaos control for numerical instability of first order reliability method , 2010 .
[24] Rajib Chowdhury,et al. Enhanced high‐dimensional model representation for reliability analysis , 2009 .
[25] Rajib Chowdhury,et al. Hybrid High Dimensional Model Representation for reliability analysis , 2009 .
[26] T. V. Santosh,et al. Optimum step length selection rule in modified HL-RF method for structural reliability , 2006 .
[27] B. Youn,et al. Enriched Performance Measure Approach for Reliability-Based Design Optimization. , 2005 .
[28] M. D. Stefano,et al. Efficient algorithm for second-order reliability analysis , 1991 .
[29] A. Kiureghian,et al. Optimization algorithms for structural reliability , 1991 .
[30] R. Rackwitz,et al. Structural reliability under combined random load sequences , 1978 .
[31] A. M. Hasofer,et al. Exact and Invariant Second-Moment Code Format , 1974 .
[32] C. M. Reeves,et al. Function minimization by conjugate gradients , 1964, Comput. J..