The random finite element method (RFEM) is an efficient tool to demonstrate the spatial
variability of soil properties during reliability analysis of slopes, but it requires remarkable …

For wave energy converters (WECs), wind turbines, etc., estimation of response extremes
over a selected exposure time is important during design. Sources of uncertainty arising …

Evaluating the large reliability index of an implicit and nonlinear performance function (PF) is
still a challenging problem in practical engineering. To overcome this problem, an efficient …

Results from global sensitivity analysis (GSA) often guide the understanding of complicated
input–output systems. Kernel-based GSA methods have recently been proposed for their …

For a computational model to be useful for decision-making purposes, its foundations need
to be “shaken” sufficiently so that one can ascertain what might happen if its underlying …

High-dimensional process monitoring, which aims to raise warnings for faulty events, is a
fundamental tool in ensuring the safety of large-scale industrial systems. Over the last few …

Models of complex technological systems inherently contain interactions and dependencies
among their input variables that affect their joint influence on the output. Such models are …

Sensitivity analysis has been widely used in building energy analysis to identify key
variables influencing building energy and carbon emissions. However, most previous …

As a leading form of renewable energy, wind power is gaining prominence with its
decreasing levelized cost of electricity. The wind turbine extreme analysis is crucial for the …

This research presents a novel framework for generating equations describing discrete
dynamical systems from only input–output data. The framework operates in two steps …