2017
DOI: 10.1007/s00366-017-0536-8
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Extension of quasi-Newton approximation-based SORM for series system reliability analysis of geotechnical problems

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Cited by 19 publications
(8 citation statements)
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“…The applications of the second-order reliability method (SORM), in engineering problems (e.g., see [1,[3][4][5][6][7][8][9][10][11]), in recent years, suggest a relevant interest in the SORM, and thus, there is much room for new research in this area, the main challenge being to calculate the main curvatures of the limit state surface, which involves a lot of mathematical complexity and computational effort.…”
Section: Introductionmentioning
confidence: 99%
“…The applications of the second-order reliability method (SORM), in engineering problems (e.g., see [1,[3][4][5][6][7][8][9][10][11]), in recent years, suggest a relevant interest in the SORM, and thus, there is much room for new research in this area, the main challenge being to calculate the main curvatures of the limit state surface, which involves a lot of mathematical complexity and computational effort.…”
Section: Introductionmentioning
confidence: 99%
“…In the FORM, high nonlinearity in the failure surface induces inaccurate and unreasonable POF. The SORM, using the second-order Taylor series (or other polynomials), was proposed to address this problem [11,17,18]. Although the POF estimated by the second-order approximation is more accurate than the POF estimated by the first-order approximation, it requires a much more complex computation [11].…”
Section: Introductionmentioning
confidence: 99%
“…Although the POF estimated by the second-order approximation is more accurate than the POF estimated by the first-order approximation, it requires a much more complex computation [11]. Since there is no closed-form expression in a quadratic polynomial function to define the POF, most SORMs adopted a parabolic approximation of the fitted quadratic polynomial surface in order to estimate the POF of the limit state [16][17][18][19][20]. In these methods precise probability distributions of the random variables are inevitably required, which are based on a significant number of experimental samples that are often limited in many applications [1,7,14,21].…”
Section: Introductionmentioning
confidence: 99%
“…These methodologies have been applied to geotechnical analyses by means of the First-Order Second-Moment method (FOSM) [6], [7], First-Order Reliability Method (FORM) [8], Second-Order Reliability Method (SORM) [9], and Monte Carlo simulation (MCS) [10]- [12].…”
Section: Introductionmentioning
confidence: 99%