Engineering analysis with probability boxes: A review on computational methods
The consideration of imprecise probability in engineering analysis to account for missing,
vague or incomplete data in the description of model uncertainties is a fast-growing field of …
vague or incomplete data in the description of model uncertainties is a fast-growing field of …
[HTML][HTML] Stochastic model updating with uncertainty quantification: an overview and tutorial
This paper presents an overview of the theoretic framework of stochastic model updating,
including critical aspects of model parameterisation, sensitivity analysis, surrogate …
including critical aspects of model parameterisation, sensitivity analysis, surrogate …
On-line Bayesian model updating for structural health monitoring
Fatigue induced cracks is a dangerous failure mechanism which affects mechanical
components subject to alternating load cycles. System health monitoring should be adopted …
components subject to alternating load cycles. System health monitoring should be adopted …
Probabilistic modelling of pitting corrosion and its impact on stress concentrations in steel structures in the offshore wind energy
S Shojai, P Schaumann, T Brömer - Marine Structures, 2022 - Elsevier
Supporting structures for offshore wind turbines and the appropriate transformer platforms
are highly susceptible to corrosion. Especially the phenomenon of pitting corrosion is very …
are highly susceptible to corrosion. Especially the phenomenon of pitting corrosion is very …
[HTML][HTML] From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information
In this paper we present a framework for addressing a variety of engineering design
challenges with limited empirical data and partial information. This framework includes …
challenges with limited empirical data and partial information. This framework includes …
The role of the Bhattacharyya distance in stochastic model updating
The Bhattacharyya distance is a stochastic measurement between two samples and taking
into account their probability distributions. The objective of this work is to further generalize …
into account their probability distributions. The objective of this work is to further generalize …
Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation
Uncertainty propagation through the simulation models is critical for computational
mechanics engineering to provide robust and reliable design in the presence of polymorphic …
mechanics engineering to provide robust and reliable design in the presence of polymorphic …
Recurrent neural networks and proper orthogonal decomposition with interval data for real-time predictions of mechanised tunnelling processes
A surrogate modelling strategy for predictions of interval settlement fields in real time during
machine driven construction of tunnels, accounting for uncertain geotechnical parameters in …
machine driven construction of tunnels, accounting for uncertain geotechnical parameters in …
Imprecise system reliability and component importance based on survival signature
The concept of the survival signature has recently attracted increasing attention for
performing reliability analysis on systems with multiple types of components. It opens a new …
performing reliability analysis on systems with multiple types of components. It opens a new …
A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency
A generalised uncertainty quantification framework for resilience assessment of weather-
coupled, repairable power grids is presented. The framework can be used to efficiently …
coupled, repairable power grids is presented. The framework can be used to efficiently …