An application of the Kriging method in global sensitivity analysis with parameter uncertainty

Efficient numerical simulation method for evaluations of global sensitivity analysis with parameter uncertainty

“…Consider a roof truss depicted in Figs.2 [22], the top boom and the compression bars are reinforced by concrete, and the bottom boom and the tension bars are steel. It is assumed that the uniformly distributed load q (unit: N/m) is applied on the roof truss, and the uniformly distributed load can be transformed into the nodal load P=ql/4.…”

“…More discussions on analysis that maintains a separation of aleatory and epistemic uncertainty can be seen in [23][24]. [22] were assumed as independent normal inputs with mean vector and standard deviation vector as ( ) …”

“…The higher order sensitivity indicators can be derived by the similar procedure. Another important sensitivity index for j µ is the total order index j ST µ , which is defined by [22]: …”

“…The work in [20][21] investigated another situation that the inputs of a model include aleatory uncertainties described by PDFs but the distribution parameters of the inputs are not known precisely which are defined by epistemic uncertainties. Based on this basic idea, we have proposed the variance-based sensitivity measures of failure probability in the presence of epistemic and aleatory uncertainties [22]. Besides, a Kriging based method has been employed to estimate the proposed important measures for the epistemic uncertainties.…”

Adapted Design Of Experiments for Dimension Decomposition Based Meta Model in Structural Reliability Analysis

“…In automobile engineering, the front axle beam is used to carry the weight of the front part of 292 the vehicle (Figure 7) [50]. As the entire front part of the automobile rests on the front axle respectively, which are given as…”