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2205.03478
Cited By

On off-line and on-line Bayesian filtering for uncertainty
quantification of structural deterioration

v1v2 (latest)

On off-line and on-line Bayesian filtering for uncertainty quantification of structural deterioration

Data-Centric Engineering (DE), 2022

6 May 2022

ArXiv (abs)PDF HTML Github (10★)

Papers citing "On off-line and on-line Bayesian filtering for uncertainty quantification of structural deterioration"

3 / 3 papers shown

Response Estimation and System Identification of Dynamical Systems via
Physics-Informed Neural Networks

Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural NetworksAdvanced Modeling and Simulation in Engineering Sciences (AMSES), 2024

M. Haywood-Alexander

Giacamo Arcieri

323

11

0

02 Oct 2024

Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
on Structural Mechanics Applications

Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics ApplicationsData-Centric Engineering (DCE), 2023

M. Haywood-Alexander

435

29

0

31 Oct 2023

Surrogate modeling for stochastic crack growth processes in structural
health monitoring applications

Surrogate modeling for stochastic crack growth processes in structural health monitoring applications

Nicholas E. Silionis

293

0

0

11 Oct 2023

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