For complex structures like aeroengine turbine rotor, its reliability performance is jointly
determined by multiple correlated failure modes. Probabilistic evaluation is an effective way …

The structural response field is crucial for understanding mechanical behavior, especially
under uncertain conditions. However, current uncertainty quantification predominantly …

This paper examines the efficient variance-based global sensitivity analysis (GSA),
quantified by estimating first-/higher-order and total-effect Sobol'indices, for applications …

In this work, we propose and test a method to expedite Global Sensitivity Analysis (GSA) in
the context of shape optimisation of free-form shapes. To leverage the computational burden …

In this work, we present a priori error estimates for local reliability-based sensitivity analysis.
The Score Function Method and the Weak Approach using Monte Carlo Simulation are …

Kriging-based adaptive structural reliability analysis methods can replace the structural
performance function and perform reliability analysis accurately and efficiently by using …

Reliable monitoring and assessment of wear evolutions are critical for performing effective
railway maintenance. Several characteristics and variables are used to quantify a worn …

Power curve, the functional relationship that governs the process of converting a set of
weather variables experienced by a wind turbine into electric power, is widely used in the …

This paper deals with the issue on metamodelling (aka surrogate modelling) of nonlinear
stochastic dynamical systems, which are often with multiple input uncertainties Θ∈ R n, viz …

Various real world problems deal with data-driven uncertainty. In particular, in geophysical
applications the amount of available data is often limited, posing a challenge in the …