... conflict of interest. 19 05 2025 11 07 2025 26 09 2025 © Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Finite element modeling Near-fault ground motion Bidirectional seismic loading Rocking motion Uncertainty quantification...

...Xingzhi Hu; Ruili Wang; Xiao Liang; Mingjie Li Purpose Verification, validation and uncertainty quantification are becoming increasingly important with the great attention to high-credibility modeling and simulation in industrial software. However, traditional validation frameworks are deficient...

.... Design/methodology/approach In this paper, a novel method of combining p-box with copula function for both uncertainty quantification and correlation estimation is explored. Copula function is utilized to estimate correlations among uncertain inputs based upon the observed data. The p-box method...

... Emerald Publishing Limited Licensed re-use rights only Statistical analysis Uncertainty quantification Miniaturized couplers Response features Tolerance-aware design Yield optimization Accounting for uncertainties and quantifying their effects on the system performance is an important...

... complex structures too. Figure 2. (a) Laminated sandwich plate and (b) skewed laminate geometry Monte Carlo simulation Sandwich plates Stochastic natural frequency Radial basis function Uncertainty quantification Higher-order-zigzag theory Nowadays, sandwich plates...

...Muhannad Aldosary; Jinsheng Wang; Chenfeng Li Purpose This paper aims to provide a comprehensive review of uncertainty quantification methods supported by evidence-based comparison studies. Uncertainties are widely encountered in engineering practice, arising from such diverse sources...

...-use rights only Uncertainty quantification Model calibration Model validation Predictive modelling Satisfying boundary Scientific computing Computer models must provide sufficient realism to be of use in aiding our understanding of and the having the ability to probe the reality...

... parameters and, etc. Let us assume a numerical model, M, representing the relationship between the input parameters, u, and output, y: © Emerald Group Publishing Limited 2015 Uncertainty quantification Validation Experimental modal analysis Prediction accuracy...

... Uncertainty quantification Dealing with moderate and high dimensional stochastic spaces is actually one of the most important problem in uncertainty quantification (UQ) community. Several methods are proposed in Agarwal and Aluru (2009) , Baglietto et al. (2010) , Blatman and Sudret (2011...

... the information regarding uncertainty quantification is preserved, all the different types of Pareto fronts that exist in the probabilistic framework (e.g. mean value Pareto, mean value penalty Pareto, etc.) are shown to be generated a posteriori. An adaptive sampling approach and parallel computing (in both...