... on evidence theory is proposed to uniformly analyze the influence of epistemic uncertainty and their correlation in modeling parameters on the positioning accuracy of robotic end effector. For the epistemic uncertainty derived from the limited sample data of modeling parameters, a generalized evidence theory...

..., one of the epistemic uncertainties in reliability-based design optimization (RBDO), has to be considered during the design process to prevent unexpected failure of a system that stems from an inaccurate surrogate model. However, there have been limited attempts to obtain a reliable optimum taking...

...Lixiong Cao; Jie Liu; Chao Jiang; Zhantao Wu; Zheng Zhang Evidence theory has the powerful feature to quantify epistemic uncertainty. However, the huge computational cost has become the main obstacle of evidence theory on engineering applications. In this paper, an efficient uncertainty...

... to demonstrate the effect of epistemic uncertainty on the optimization. Fig. 6 Failure modes in Pyrolock Each component of the PMD system is modeled as a system of differential equations to describe the physical behavior of the component. First, the temperature rate of the heating element can...

... epistemic uncertainty modeling for both model bias and model parameters can make reliability estimation errors controllable with less conservativeness compared to the direct reliability modeling using the Bayesian approach. Contributed by the Design Automation Committee of ASME for publication...

...Min-Yeong Moon; K. K. Choi; Nicholas Gaul; David Lamb Accurately predicting the reliability of a physical system under aleatory uncertainty requires a very large number of physical output testing. Alternatively, a simulation-based method can be used, but it would involve epistemic uncertainties due...

.... It is important to ensure that the probabilistic constraints at the optimum in a RBDO problem are insensitive to the variations of design variables. In this paper, we propose a novel concept and procedure for reliability based robust design in the context of random uncertainty and epistemic uncertainty...

...Jooho Choi; Dawn An; Junho Won An efficient method for a structural reliability analysis is proposed under the Bayesian framework, which can deal with the epistemic uncertainty arising from a limited amount of data. Until recently, conventional reliability analyses dealt mostly with the aleatory...

... aleatory uncertainty and epistemic uncertainty may associate with design variables. This paper proposes the formulation of random/fuzzy continuous/discrete variables design optimization (RFCDV-DO) and two different approaches for uncertainty analysis (probability/possibility analysis). A method named...

...Byeng D. Youn; Kyung K. Choi; Liu Du; David Gorsich In practical engineering applications, there exist two different types of uncertainties: aleatory and epistemic uncertainties. This study attempts to develop a robust design optimization with epistemic uncertainty. For epistemic uncertainties...

... pressure vessels imprecision imprecise probabilities epistemic uncertainty aleatory uncertainty engineering design probability bounds analysis PBA Of the many challenges in engineering design, among the greatest are accounting for uncertainty and reducing associated...