Bayesian model updating with finite element vs surrogate models: Application to a miter gate structural system
Bayesian finite element (FE) model updating using direct model evaluations of large-scale
high-fidelity FE models is extremely computationally expensive. Surrogate models can be …
high-fidelity FE models is extremely computationally expensive. Surrogate models can be …
The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions
This paper proposes an approach to select a maintenance strategy from a predefined set of
choices considering the decision maker's behavioral risk profile. It is assumed that the …
choices considering the decision maker's behavioral risk profile. It is assumed that the …
Mechanism of high-speed train carbody shaking due to degradation of wheel-rail contact geometry
The carbody shaking phenomenon (CSP) can greatly reduce the ride comfort of high-speed
trains. To investigate the abnormal vibration feature and causes of the CSP, extensive field …
trains. To investigate the abnormal vibration feature and causes of the CSP, extensive field …
An optimal sensor design framework accounting for sensor reliability over the structural life cycle
One of the most prominent goals of a structural health monitoring (SHM) system is to infer
the state of the structure to inform appropriate maintenance actions that affect performance …
the state of the structure to inform appropriate maintenance actions that affect performance …
A real-time prediction interval correction method with an unscented Kalman filter for settlement monitoring of a power station dam
T Zhou, Y Jie, Y Wei, Y Zhang, H Chen - Scientific Reports, 2023 - nature.com
A prediction interval (PI) method is developed to quantify the model uncertainty of
embankment settlement prediction. Traditional PIs are constructed based on specific past …
embankment settlement prediction. Traditional PIs are constructed based on specific past …
Bayesian model updating for structural dynamic applications combing differential evolution adaptive metropolis and kriging model
The Bayesian model updating approach has attracted much attention by providing the most
probable values (MPVs) of physical parameters and their uncertainties. However, the …
probable values (MPVs) of physical parameters and their uncertainties. However, the …
Characterizing geotechnical site investigation data: A comparative study using a novel distribution model
The fitting of a parameterized distribution model to site investigation data is commonly
adopted in geotechnical site characterization, but this exercise may require subjective …
adopted in geotechnical site characterization, but this exercise may require subjective …
Uncertainty quantification in constitutive models of highway bridge components: seismic bars and elastomeric bearings
Bridges are essential structures in the logistic chain of countries, making it critical to design
them to be as resilient as possible. One way to achieve this is through performance-based …
them to be as resilient as possible. One way to achieve this is through performance-based …
[HTML][HTML] Multi-level curvature-based parametrization and model updating using a 3D full-field response
Abstract Model updating improves the correlation between the response of the real structure
and the response of the finite-element (FE) model; however, the selection of the updating …
and the response of the finite-element (FE) model; however, the selection of the updating …
A recursive inference method based on invertible neural network for multi-level model updating using video monitoring data
Likelihood-free inference methods have been widely adopted, but they face significant
challenges in updating multi-level computational models that have hierarchically embedded …
challenges in updating multi-level computational models that have hierarchically embedded …