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Keywords: normal distribution
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Journal Articles
Article Type: Research Papers
J. Mech. Des. January 2011, 133(1): 011003.
Published Online: December 29, 2010
... that have better crashworthiness performance via stochastic sampling of the design space. In every iteration of the algorithm, a number of sample designs are generated through a normal distribution on neighboring regions of the search space to the current design, and the best among the samples is...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2010, 132(2): 021010.
Published Online: February 9, 2010
... optimization (RDBO) problem under the assumption of truncated normal distributions of the geometric properties. The solution is obtained by first constructing the explicit boundaries of the failure regions (limit state function) using a support vector machine, combined with adaptive sampling and uniform design...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2010, 132(2): 021003.
Published Online: January 14, 2010
... linearizations are typically effective, such as problems with extensive monotonicities, a large number of constraints relative to variables, and propagation of probabilities with normal distributions. Experiments with test problems show that, relative to standard ATC coordination, the number of subproblem...
Journal Articles
Article Type: Research Papers
J. Mech. Des. July 2006, 128(4): 969–979.
Published Online: December 21, 2005
... probabilistic, precise best-fit normal distribution to represent uncertainty. In the second approach, the designer explicitly expresses the imprecision in the available information using a probability box, or p-box. When the imprecision is large, this p-box approach on average results in designs with expected...