1-14 of 14
Keywords: sampling methods
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2011, 133(4): 041002.
Published Online: May 9, 2011
... optimisation radial basis function networks regression analysis sampling methods splines (mathematics) vehicle dynamics Vehicle crashworthiness is of great importance today to the automotive industry. A good rating in crashworthiness gives an automaker a strong argument for sales. Therefore...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2011, 133(2): 021010.
Published Online: February 8, 2011
... 10 14 that EBO formulation cannot approximate the bounds on the system response as accurately as the PBO formulation. The bounds obtained by EBO are still wider than those obtained by the sampling method. The computational efforts for both PBO and EBO methods are listed in Table 3 . It is seen...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. January 2011, 133(1): 014505.
Published Online: January 10, 2011
... directly at reducing the number of evaluations for both objective function and constraints. The proposed method builds on existing mode pursuing sampling method and incorporates two intriguing strategies: (1) generating more sample points in the neighborhood of the promising regions, and (2) biasing...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2010, 132(11): 111002.
Published Online: October 20, 2010
... Sampling Method for Probability of Failure Calculation ,” Struct. Safety 0167-4730 , 3 ( 2 ), pp. 109 – 115 . 10.1016/0167-4730(86)90012-3 Karamchandani , A. , Bjerager , P. , and Cornell , C. , 1989 , “ Adaptive Importance Sampling ,” Proceedings of the Fifth International...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2010, 132(6): 061002.
Published Online: May 20, 2010
... methods. Several examples are used to demonstrate the proposed methodology. 11 08 2009 11 03 2010 20 05 2010 20 05 2010 design engineering gradient methods Monte Carlo methods optimisation probability random processes reliability theory sampling methods...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2008, 130(11): 111401.
Published Online: October 3, 2008
... fidelity optimization sequential sampling surrogate model Bayesian approach model fusion design confidence Bayes methods design engineering Gaussian processes interpolation optimisation sampling methods 20 06 2007 18 06 2008 03 10 2008 2008 American Society...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2008, 130(7): 071401.
Published Online: May 19, 2008
... traditional reliability methods. 21 08 2006 13 08 2007 19 05 2008 failure analysis least squares approximations Monte Carlo methods reliability response surface methodology sampling methods structural engineering Monte Carlo simulation indicator function response surface...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2008, 130(3): 031103.
Published Online: February 5, 2008
...Rahul Rai; Matthew Campbell Sequential sampling refers to a set of experimental design methods where the next sample point is determined by information from previous experiments. This paper introduces a new sequential sampling method where optimization and user knowledge are used to guide...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2008, 130(2): 021402.
Published Online: January 3, 2008
... engineering optimisation sampling methods search problems discrete variable optimization metamodeling MPS black-box functions Although most of the classic approaches of design optimization consider continuous variables, many practical problems deal with discrete or integer variables...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2006, 128(6): 1227–1235.
Published Online: January 6, 2006
... H log p 0 + Δ p p 0 20 06 2005 06 01 2006 reliability failure (mechanical) failure analysis sampling methods design engineering failure surface frontier reliability assessment discriminative sampling reliability analysis Conventionally...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. September 2005, 127(5): 1014–1020.
Published Online: January 14, 2005
..., and Adaptive and Interactive Modeling System. A real-world frontal impact design problem is used as an example, which is a complex, highly nonlinear, transient, dynamic, large deformation finite element model. To study the accuracy of the metamodel, the optimal Latin Hypercube Sampling method is used...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. September 2005, 127(5): 866–874.
Published Online: November 26, 2004
... sampling with more controlled sampling methods such as Latin Hypercube sampling, and so on. Funding from Natural Science and Engineering Research Council (NSERC) of Canada is gratefully appreciated. The authors would also like to thank anonymous reviewers for their valuable comments that resulted...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. July 2005, 127(4): 558–571.
Published Online: June 28, 2004
..., and the results are shown to compare closely to those from a Latin hypercube sampling method. The SAMS technique is also demonstrated to yield computational savings of up to 90% relative to the sampling-based method. 04 11 2003 28 06 2004 process design stochastic processes sampling methods...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Mech. Des. December 2000, 122(4): 385–394.
Published Online: June 1, 1999
... circumstances. Under the framework of probabilistic optimization, we propose to use a most probable point (MPP) based importance sampling method, a method rooted in the field of reliability analysis, for evaluating the feasibility robustness. The advantages of this approach are discussed. Though our discussions...