15 citations · 20 across the 5 of their papers we have counts for
6 papers
Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities
A. Cunha, C. Nataraj, L. M. Lorenzo +3
Artificial intelligence (AI) is reshaping mechanical engineering (ME), from modeling, simulation, and optimization to diagnostics, design, and technical communication. Drawing on a…
Scenario-driven optimization of passive vehicle suspensions: explaining the effectiveness of asymmetric damping
José Geraldo Telles Ribeiro, Americo Cunha
Asymmetric damping is widely used in passive vehicle suspensions, with rebound damping often recommended to exceed compression damping by a factor of two to three. Despite its prev…
Advanced creep modelling for polymers: A variable-order fractional calculus approach
José Geraldo Telles Ribeiro, Americo Cunha
Polymer-based plastics exhibit time-dependent deformation under constant stress, known as creep, which can lead to rupture or static fatigue. A common misconception is that materia…
A framework for probabilistic prediction of remaining useful life in structural materials
Victor Maudonet, Carlos Frederico Trotta Matt, Americo Cunha
Accurate prediction of remaining useful life under creep conditions is essential for the structural reliability of high-temperature components in critical engineering systems. Trad…
CEopt: A MATLAB Package for Non-convex Optimization with the Cross-Entropy Method
Americo Cunha, Marcos Vinicius Issa, Julio Cesar Basilio +1
This paper introduces CEopt (https://ceopt.org), a MATLAB tool leveraging the Cross-Entropy method for non-convex optimization. Due to the relative simplicity of the algorithm, it…
Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation
Americo Cunha, David A. W. Barton, Thiago G. Ritto
This paper proposes a data-driven approximate Bayesian computation framework for parameter estimation and uncertainty quantification of epidemic models, which incorporates two nove…