Antonio Carlos Ancelotti

TL;DR: The proposed sunflower optimization algorithm (SFO) technique is a population-based iterative heuristic global optimization algorithm for multi-modal problems that employs terms as root velocity and pollination providing robustness.

TL;DR: The use of computational and intelligent techniques for structural monitoring in the form of a review with emphasis on composite materials is discussed, to help engineers and researchers find a starting point in developing a better solution to their specific structural monitoring problems.

TL;DR: In this article, the authors discuss the use of optimization algorithms and Artificial Neural Networks (ANN) for structural monitoring in the form of a brief review, which aims to help engineers and researchers find a better alternative to their specific structural monitoring problems.

TL;DR: In this article, the authors deal with the manufacturing and testing of sandwich beams with carbon/epoxy composite skins and a honeycomb core filled with magnetorheological elastomer (MRE) in different proportions of magneto/elastomer.

TL;DR: In this article, a magnetorheological elastomer (MRE) honeycomb core with carbon/epoxy composite skins and an MRE core core in different proportions of magneto/elastomer was manufactured and studied numerically and experimentally and the experimental results showed good performance in the attenuation of vibration level, especially on the fundamental vibration mode of the structures in question.