2018
DOI: 10.1177/1687814018793336
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A decoupling algorithm with first-order asymptotic integration for reliability-based design optimization

Abstract: Conventional decoupling approaches usually employ first-order reliability method to deal with probabilistic constraints in a reliability-based design optimization problem. In first-order reliability method, constraint functions are transformed into a standard normal space. Extra non-linearity introduced by the non-normal-to-normal transformation may increase the error in reliability analysis and then result in the reliability-based design optimization analysis with insufficient accuracy. In this article, a dec… Show more

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Cited by 3 publications
(2 citation statements)
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“…Compared with the DLS and the SLS, the former is simpler and more stable, although DLS has a nested nature. In general, those strategies for assessing probability constraints lead to performing first-order or second-order approximate expansion at the MPP, that is, the first-order reliability method (FORM) 37,38 and the second-order reliability method (SORM), 39,40 to convert probability constraints into deterministic constraints. The FORM has been widely used in RBDO procedures due to its simplicity and efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with the DLS and the SLS, the former is simpler and more stable, although DLS has a nested nature. In general, those strategies for assessing probability constraints lead to performing first-order or second-order approximate expansion at the MPP, that is, the first-order reliability method (FORM) 37,38 and the second-order reliability method (SORM), 39,40 to convert probability constraints into deterministic constraints. The FORM has been widely used in RBDO procedures due to its simplicity and efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Li et al 22 proposed the decoupling algorithm based on radial basis function (RBF) neural network to reduce the dimension coupling error of a four-point supporting piezoelectric six-axis force sensor. Huang et al 23 designed a decoupling method to provide an alternative tool for the reliability-based design optimization problems. Li et al 24 applied the generalized inverse static decoupling algorithm based on the solution matrix of calibration matrix to reduce dimension coupling of three-axis force sensor with four supporting points, and the largest coefficient was less than 3%.…”
Section: Introductionmentioning
confidence: 99%