7 citations · 8 across the 5 of their papers we have counts for
5 papers
Level set-fitted polytopal meshes with application to structural topology optimization
Nicola Ferro, Stefano Micheletti, Nicola Parolini +3
We propose a method to modify a polygonal mesh in order to fit the zero-isoline of a level set function by extending a standard body-fitted strategy to a tessellation with arbitrar…
A deep learning approach for detection and localization of leaf anomalies
Davide Calabrò, Massimiliano Lupo Pasini, Nicola Ferro +1
The detection and localization of possible diseases in crops are usually automated by resorting to supervised deep learning approaches. In this work, we tackle these goals with uns…
Enhancing level set-based topology optimization with anisotropic graded meshes
Davide Cortellessa, Nicola Ferro, Simona Perotto +1
We propose a new algorithm for the design of topologically optimized lightweight structures, under a minimum compliance requirement. The new process enhances a standard level set f…
A new fluid-based strategy for the connection of non-matching lattice materials
Nicola Ferro, Simona Perotto, Matteo Gavazzoni
We present a new algorithm for the design of the connection region between different lattice materials. We solve a Stokes-type topology optimization problem on a narrow morphing re…
Multi-physics inverse homogenization for the design of innovative cellular materials: application to thermo-mechanical problems
Matteo Gavazzoni, Nicola Ferro, Simona Perotto +1
We present a new algorithm to design lightweight cellular materials with required properties in a multi-physics context. In particular, we focus on a thermo-mechanical setting, by…