97 citations · 502 across the 21 of their papers we have counts for
21 papers
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,…
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…
Probabilistic maps on bistable vibration energy harvesters
João Pedro Norenberg, Americo Cunha, Samuel da Silva +1
This paper analyzes the impact of parametric uncertainties on the dynamics of bistable energy harvesters, focusing on obtaining statistical information about how each parameter's v…
Nonlinear dynamics of asymmetric bistable energy harvesters
João Pedro Norenberg, Roberto Luo, Vinicius Goncaalves Lopes +2
The paper investigates asymmetries effects over a nonlinear vibration energy harvester dynamics. The asymmetric system performance is compared with symmetric ones. Different asymme…
On the reduction of nonlinear electromechanical systems
Americo Cunha, Marcelo Pereira, Rafael Avanço +2
The present work revisits the reduction of the nonlinear dynamics of an electromechanical system through a quasi-steady state hypothesis, discussing the fundamental aspects of this…
The starting dates of COVID-19 multiple waves
Paulo Roberto de Lima Gianfelice, Ricardo Sovek Oyarzabal, Americo Cunha +3
The severe acute respiratory syndrome of coronavirus 2 spread globally very quickly, causing great concern at the international level due to the severity of the associated respirat…
Identification of parameters in the torsional dynamics of a drilling process through Bayesian statistics
Mario Germán Sandoval, Americo Cunha, Rubens Sampaio
This work presents the estimation of the parameters of an experimental setup, which is modeled as a system with three degrees of freedom, composed by a shaft, two rotors, and a DC…
Effect of an attached end mass in the dynamics of uncertainty nonlinear continuous random system
Americo Cunha, Rubens Sampaio
This work studies the dynamics of a one dimensional elastic bar with random elastic modulus and prescribed boundary conditions, say, fixed at one end, and attached to a lumped mass…
Non-intrusive polynomial chaos expansion for topology optimization using polygonal meshes
Nilton Cuellar, Anderson Pereira, Ivan F. M. Menezes +1
This paper deals with the applications of stochastic spectral methods for structural topology optimization in the presence of uncertainties. A non-intrusive polynomial chaos expans…
Quantification of parametric uncertainties induced by irregular soil loading in orchard tower sprayer nonlinear dynamics
Americo Cunha, Jorge Luis Palacios Felix, José Manoel Balthazar
This paper deals with the nonlinear stochastic dynamics of an orchard tower sprayer subjected to random excitations due to soil irregularities. A consistent stochastic model of unc…
Global sensitivity analysis of asymmetric energy harvesters
João Pedro Norenberg, Americo Cunha, Samuel da Silva +1
Parametric variability is inevitable in actual energy harvesters. It can significantly affect crucial aspects of the system performance, especially in harvesting systems that prese…
Assessment of a transient homogeneous reactor through in situ adaptive tabulation
Americo Cunha, Luis Fernando Figueira da Silva
The development of computational models for the numerical simulation of chemically reacting flows operating in the turbulent regime requires the solution of partial differential eq…
Enhancing the performance of a bistable energy harvesting device via the cross-entropy method
Americo Cunha
This work deals with the solution of a non-convex optimization problem to enhance the performance of an energy harvesting device, which involves a nonlinear objective function and…
Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings
Americo Cunha, Christian Soize, Rubens Sampaio
This work intends to analyze the nonlinear stochastic dynamics of drillstrings in horizontal configuration. For this purpose, it considers a beam theory, with effects of rotatory i…
On the nonlinear stochastic dynamics of a continuous system with discrete attached elements
Americo Cunha, Rubens Sampaio
This paper presents a theoretical study on the influence of a discrete element in the nonlinear dynamics of a continuous mechanical system subject to randomness in the model parame…
Uncertainty quantification through Monte Carlo method in a cloud computing setting
A. Cunha, R. Nasser, R. Sampaio +2
The Monte Carlo (MC) method is the most common technique used for uncertainty quantification, due to its simplicity and good statistical results. However, its computational cost is…
Calibration of a SEIR-SEI epidemic model to describe the Zika virus outbreak in Brazil
Eber Dantas, Michel Tosin, Americo Cunha
Multiple instances of Zika virus epidemic have been reported around the world in the last two decades, turning the related illness into an international concern. In this context th…