activity
20212026
most citedUncertainty quantification through Monte Carlo method in a cloud computing setting

97 citations · 296 across the 15 of their papers we have counts for

collaborators

17 papers

cs.CE2026

Robust topology optimization with non-Gaussian material fields using polygonal finite elements

Nilton Cuellar, Anderson Pereira, Ivan F. M. Menezes +1

We present a computational framework for robust topology optimization that integrates polygonal finite-element discretizations, spatially correlated non-Gaussian material modeling,…

physics.comp-ph2026

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…

cs.CE2024

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…

cs.CE202420 cited

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…

cs.CE202420 cited

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…

cs.CE202432 cited

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…