5 papers
Characterization of Thermal Systems from Noisy and Low-resolution Measurements Using Dynamic Mode Decomposition
M. E. P. Silva, L. S. Araujo, F. T. Colombo +2
Thermal monitoring in practical applications is often constrained by sparse sensing, measurement noise, and limited spatial resolution, which hinder the identification of heat tran…
Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data
João Paulo Dias, Stephen Ekwaro-Osire, Americo Cunha +4
This work proposes a parametric probabilistic approach to model damage accumulation using the double linear damage rule (DLDR) considering the existence of limited experimental fat…
Robust optimization and uncertainty quantification in the nonlinear mechanics of an elevator brake system
Piotr Wolszczak, Pawel Lonkwic, Americo Cunha +2
This paper deals with nonlinear mechanics of an elevator brake system subjected to uncertainties. A deterministic model that relates the braking force with uncertain parameters is…
Damage detection in an uncertain nonlinear beam based on stochastic Volterra series: an experimental application
Luis Gustavo Gioacon Villani, Samuel da Silva, Americo Cunha +1
The damage detection problem becomes a more difficult task when the intrinsically nonlinear behavior of the structures and the natural data variation are considered in the analysis…
Damage detection in an uncertain nonlinear beam based on stochastic Volterra series
Luis Gustavo Giacon Villani, Samuel da Silva, Americo Cunha
The damage detection problem in mechanical systems, using vibration measurements, is commonly called Structural Health Monitoring (SHM). Many tools are able to detect damages by ch…