Wind energy is foundational for achieving 100% renewable electricity production, and
significant innovation is required as the grid expands and accommodates hybrid plant …

A building system is highly nonlinear and commonly includes a variety of parameters
ranging from the architectural design to the building mechanical and energy system. Serving …

Probabilistic uncertainty and imprecision in structural parameters and in environmental
conditions and loads are challenging phenomena in engineering analyses. They require …

Redundant design has been widely used in aerospace systems, nuclear systems, etc. which
calls for particular attention to common cause failure problems in such systems with various …

The Dakota toolkit provides a flexible and extensible interface between simulation codes
and iterative analysis methods. Dakota contains algorithms for optimization with gradient …

This paper focuses on the hybrid reliability analysis with both random and interval variables
(HRA-RI). It is determined that a metamodel only accurately approximating the projection …

Computer-aided engineering (CAE) is now an essential instrument that aids in engineering
decision-making. Statistical model calibration and validation has recently drawn great …

As we shift from population‐based medicine towards a more precise patient‐specific regime
guided by predictions of verified and well‐established cardiovascular models, an urgent …

This paper presents an extended polynomial chaos formalism for epistemic uncertainties
and a new framework for evaluating sensitivities and variations of output probability density …

Web-based distributed modelling architectures are gaining increasing recognition as
potentially useful tools to build holistic environmental models, combining individual …