[HTML][HTML] Review of finite element model updating methods for structural applications
At the time of designing structures up to date, the density and magnitude of the load have
increased, and the requirements for regulation have also become more stringent. To ensure …
increased, and the requirements for regulation have also become more stringent. To ensure …
A review on prognostic techniques for non-stationary and non-linear rotating systems
MS Kan, ACC Tan, J Mathew - Mechanical Systems and Signal Processing, 2015 - Elsevier
The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …
A tutorial on Bayesian inference to identify material parameters in solid mechanics
The aim of this contribution is to explain in a straightforward manner how Bayesian inference
can be used to identify material parameters of material models for solids. Bayesian …
can be used to identify material parameters of material models for solids. Bayesian …
Uncertainty quantification in neural networks by approximate Bayesian computation: Application to fatigue in composite materials
Modern machine learning algorithms excel in a great variety of tasks, but at the same time, it
is also known that those complex models need to deal with uncertainty from different …
is also known that those complex models need to deal with uncertainty from different …
A review of physics-based models in prognostics and health management of laminated composite structures
This article reports on the physics-based models for the diagnosis (detection, isolation,
localization, and quantification of damages) and prognosis (prediction of the future evolution …
localization, and quantification of damages) and prognosis (prediction of the future evolution …
A data-driven probabilistic framework towards the in-situ prognostics of fatigue life of composites based on acoustic emission data
An innovative prognostic data-driven framework is proposed to deal with the real-time
estimation of the remaining useful life of composite materials under fatigue loading based on …
estimation of the remaining useful life of composite materials under fatigue loading based on …
An online model-based fatigue life prediction approach using extended Kalman filter
Typical civil infrastructures are prone to fatigue-induced failure due to repeated loading
during their service life. To effectively manage the consequences of fatigue-induced failure …
during their service life. To effectively manage the consequences of fatigue-induced failure …
[HTML][HTML] Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
A new physics-guided Bayesian recurrent neural network is proposed in this manuscript.
This hybrid algorithm benefits from the knowledge in physics-based models, the capability of …
This hybrid algorithm benefits from the knowledge in physics-based models, the capability of …
Structural health monitoring data fusion for in-situ life prognosis of composite structures
A novel framework to fuse structural health monitoring (SHM) data from different in-situ
monitoring techniques is proposed aiming to develop a hyper-feature towards more effective …
monitoring techniques is proposed aiming to develop a hyper-feature towards more effective …
Bayesian inference to identify parameters in viscoelasticity
This contribution discusses Bayesian inference (BI) as an approach to identify parameters in
viscoelasticity. The aims are:(i) to show that the prior has a substantial influence for …
viscoelasticity. The aims are:(i) to show that the prior has a substantial influence for …