... in the J OURNAL OF M ECHANICAL D ESIGN . Manuscript received August 8, 2018; final manuscript received November 3, 2018; published online January 11, 2019. Assoc. Editor: Nam H. Kim. 08 08 2018 03 11 2018 reliability analysis parameter uncertainty model uncertainty epistemic...

...XinJiang Lu; Han-Xiong Li; C. L. Philip Chen Model uncertainty often results from incomplete system knowledge or simplification made at the design stage. In this paper, a hybrid model/data-based probabilistic design approach is proposed to design a nonlinear system to be robust under...

...XinJiang Lu; Han-Xiong Li In real-world applications, a nominal model is often used to approximate the design of an industrial system. This approximation could make the traditional design method less effective due to the existence of model uncertainty. In this paper, a novel stability-based...

...XinJiang Lu; Han-Xiong Li In real-world applications, a nominal model is usually used to approximate the practical system for design and control. This approximation may make the traditional robust design less effective because the model uncertainty still affects the system performance...

... analysis is also quantified and included in the RBDO formulation. The proposed methods are illustrated through numerical examples. 16 09 2005 08 01 2006 design engineering extrapolation reliability optimisation model errors model uncertainty optimization reliability-based...

... probability ( 6 17 18 19 20 ). model uncertainty interpolation uncertainty metamodel robust design Bayesian prediction interval computer experiments design engineering interpolation Bayes methods random processes containers internal combustion engines pistons design...