Artificial-neural-network-based surrogate models for structural health monitoring of civil structures: a literature review
A Dadras Eslamlou, S Huang - Buildings, 2022 - mdpi.com
It is often computationally expensive to monitor structural health using computer models.
This time-consuming process can be relieved using surrogate models, which provide cheap …
This time-consuming process can be relieved using surrogate models, which provide cheap …
Multi-fidelity surrogate modeling using long short-term memory networks
When evaluating quantities of interest that depend on the solutions to differential equations,
we inevitably face the trade-off between accuracy and efficiency. Especially for …
we inevitably face the trade-off between accuracy and efficiency. Especially for …
Multi-fidelity physics-informed machine learning for probabilistic damage diagnosis
S Miele, P Karve, S Mahadevan - Reliability Engineering & System Safety, 2023 - Elsevier
Abstract Machine learning (ML) models are gaining popularity in structural health monitoring
(SHM) because of their ability to learn the complex relationship between damage and …
(SHM) because of their ability to learn the complex relationship between damage and …
Vibro-Acoustic Testing and Machine Learning for Concrete Structures Damage Diagnosis
SA Miele - 2022 - ir.vanderbilt.edu
A nondestructive evaluation (NDE) methodology is investigated for localizing internal
(hidden) micro/macro cracking in large concrete structures due to the alkali-silica reaction …
(hidden) micro/macro cracking in large concrete structures due to the alkali-silica reaction …
[PDF][PDF] Bayesian system identification of civil engineering structures using high resolution optic fibre measurements and surrogate modelling
AIM Colán - 2022 - repository.tudelft.nl
Bayesian system identification has been extensively adopted in Structural Health Monitoring
as a way to probabilistically infer unobservable parameters of the physical model of a …
as a way to probabilistically infer unobservable parameters of the physical model of a …