XU-RSM: Diffuse response surface model for reliability-based design optimization

P. P. Zhang; P. Breitkopf; C. Vayssade; W. H. Zhang; H. Tao

doi:10.1088/1757-899X/10/1/012209

XU-RSM: Diffuse response surface model for reliability-based design optimization

P. P. Zhang, P. Breitkopf, C. Vayssade, W. H. Zhang, H. Tao

School of Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

We focus on a new response surface methodology (XU-RSM) adapted to RBDO, based on Diffuse Approximation. This method uses simultaneously the points in the space of probabilistic variables (U-space) and the points in the space of physical variables (X-space). The two grids form a "virtual design of experiments" and are progressively explored in order to minimize the number of the "exact" function evaluations. A variant of the first order reliability method FORM is chosen to calculate the safety index. A case study is investigated for the numerical control (NC) machining operations of ultrahigh strength steel. We show how the proposed method can decrease the amount of function calculations and reduce the computing time.

Original language	English
Article number	012209
Journal	IOP Conference Series: Materials Science and Engineering
Volume	10
Issue number	1
DOIs	https://doi.org/10.1088/1757-899X/10/1/012209
State	Published - 2014
Event	9th World Congress on Computational Mechanics, WCCM 2010, Held in Conjuction with the 4th Asian Pacific Congress on Computational Mechanics, APCOM 2010 - Sydney, Australia Duration: 19 Jul 2010 → 23 Jul 2010

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Cite this

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AU - Zhang, W. H.

AU - Tao, H.

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XU-RSM: Diffuse response surface model for reliability-based design optimization

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