... engineering optimisation sampling methods statistical distributions Engineering design analyses often involve uncertain inputs. Sources of uncertainty may be divided into two types: aleatory and epistemic. Aleatory uncertainty is irreducible. Examples include phenomena that exhibit natural...

... theory springs (mechanical) statistical distributions structural engineering suspensions (mechanical components) Bayesian approach reliability analysis epistemic uncertainty Kriging dimension reduction method pigtail spring side load In the design of structural systems, reliability...

...-9 , 9 ( 5 ), pp. 484 – 494 . 09 05 2006 27 05 2007 08 08 2008 nonlinear programming reliability theory statistical distributions Products must be reliable, robust, and safe against uncertainties. To this end, nondeterministic design approaches have been...

... 12 03 2008 14 07 2008 design engineering genetic algorithms mechanical engineering statistical distributions wave propagation multidisciplinary optimization multiobjective optimization robust optimization interval uncertainty uncertainty propagation Engineering...

... distribution for efficient estimation of reliability. 19 09 2005 23 02 2006 laminates cost reduction structural engineering design for quality reliability quality control failure analysis statistical distributions For systems composed of multiple components, system failure...

... of the uncertain quantities within the bounds is not known. reliability-based optimization uncertainty incomplete information Bayesian inference design engineering reliability pistons rings (structures) engine cylinders surface roughness statistical distributions Bayes methods optimisation...

... the definition of h R [similar to Eq. 27 ]. design engineering reliability optimisation statistical distributions Deterministic mathematical optimization has led to greatly improved performance in all areas of engineering design. It can, however, lead to undesired choices...

...Liu Du; K. K. Choi; Byeng D. Youn; David Gorsich The reliability based design optimization (RBDO) method is prevailing in stochastic structural design optimization by assuming the amount of input data is sufficient enough to create accurate input statistical distribution. If the sufficient input...

... decision making statistical distributions numerical analysis uncertainty probability possibility method testing Engineering design decisions commonly involve mathematical models, such as models for the calculation of stresses in structural design, to help decision makers predict...