The sensitivity method is probably the most successful of the many approaches to the problem of updating finite element models of engineering structures based on vibration test …
Probabilistic uncertainty and imprecision in structural parameters and in environmental conditions and loads are challenging phenomena in engineering analyses. They require …
This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the context of Bayesian model updating for engineering applications. Markov Chain Monte …
M Faes, D Moens - Archives of Computational Methods in Engineering, 2020 - Springer
This paper gives an overview of recent advances in the field of non-probabilistic uncertainty quantification. Both techniques for the forward propagation and inverse quantification of …
G Chen, D Yang - Mechanical Systems and Signal Processing, 2021 - Elsevier
Generally, the static and dynamic reliabilities of structures are addressed separately in the existing methods except the computationally expensive stochastic sampling-based …
HP Wan, YQ Ni - Structural Health Monitoring, 2019 - journals.sagepub.com
Reconstruction of structural health monitoring data is a challenging task, since it involves time series data forecasting especially in the case with a large block of missing data. In this …
S Sehgal, H Kumar - Archives of Computational Methods in Engineering, 2016 - Springer
This paper presents a review of structural dynamic model updating techniques. Starting with a tutorial introduction of basic concepts of model updating, the paper reviews direct and …
HP Wan, YQ Ni - Journal of Structural Engineering, 2018 - ascelibrary.org
The advancement in structural health monitoring (SHM) technology has been evolving from monitoring-based diagnosis to monitoring-based prognosis. The structural stress response …
Computer-aided engineering (CAE) is now an essential instrument that aids in engineering decision-making. Statistical model calibration and validation has recently drawn great …