Technological scouting of bi-material face masks: simulation of adherence using 3D Facial Norms.

During the COVID-19 pandemic started in March 2020, the need for personal protective equipment rapidly grew as it became mandatory. The availability of a set of faces can be of great utility in designing a face mask with proper adherence and comfortability in wearing and breathing. A 3D geometry of a face with user-defined anthropometric measures was generated with Blender, a powerful development tool for creating 3D images.

Technological scouting of bi-material face masks: experimental analysis on real faces.

The need for personal protective equipment rapidly grew during the COVID-19. Companies had to face problems related to their products' sustainability, adherence, and comfortability. Designing a face mask with proper adherence and comfortability in wearing and breathing became a matter of great importance.

Visco-Hyperelastic Characterization of the Equine Immature Zona Pellucida.

This article presents a very detailed study on the mechanical characterization of a highly nonlinear material, the immature equine zona pellucida (ZP) membrane. The ZP is modeled as a visco-hyperelastic soft matter. The Arruda-Boyce constitutive equation and the two-term Prony series are identified as the most suitable models for describing the hyperelastic and viscous components, respectively, of the ZP's mechanical response.

Mechanical Identification of Materials and Structures with Optical Methods and Metaheuristic Optimization.

This study presents a hybrid framework for mechanical identification of materials and structures. The inverse problem is solved by combining experimental measurements performed by optical methods and non-linear optimization using metaheuristic algorithms. In particular, we develop three advanced formulations of Simulated Annealing (SA), Harmony Search (HS) and Big Bang-Big Crunch (BBBC) including enhanced approximate line search and computationally cheap gradient evaluation strategies.