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Simonetta Boria

Researcher at University of Camerino

Publications -  58
Citations -  971

Simonetta Boria is an academic researcher from University of Camerino. The author has contributed to research in topics: Impact attenuator & Crashworthiness. The author has an hindex of 14, co-authored 53 publications receiving 749 citations. Previous affiliations of Simonetta Boria include University of Pisa.

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Lightweight design and crash analysis of composite frontal impact energy absorbing structures

TL;DR: In this article, the authors present the steps to follow in order to design specific lightweight impact attenuators, based on a detailed analytical, experimental and numerical analysis of the structural crashworthiness.
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Experimental and numerical investigations of the impact behaviour of composite frontal crash structures

TL;DR: In this paper, a composite impact attenuator for a Formula SAE racing car is presented, which is manufactured by lamination of prepreg sheets in carbon fibres and epoxy matrix, and has a very similar geometry to a square frusta.
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Axial energy absorption of cfrp truncated cones

TL;DR: In this paper, the authors studied the energy absorption capability of fiber preconditioned cones made of composite materials, intended for structural applications in the automotive industry, from the point of view of their energy absorbing capability when submitted to axial loading.
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Impact behavior of a fully thermoplastic composite

TL;DR: In this paper, the authors present the results of an experimental campaign made on a fully thermoplastic composite, where both the reinforcement and the matrix are made in polypropylene, and analyze its behavior under different impact loading conditions using a drop weight testing machine.
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Kriging-assisted topology optimization of crash structures

TL;DR: Compared to the state-of-the-art Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the KG-LSM optimization algorithm demonstrates to be efficient in terms of convergence speed and performance of the optimized designs.