Federica Labbrozzi
Design of new types of rockfall barriers: from sensitivity analysis to machine learning.
Rel. Federico Vagnon, Ivan Depina, Maria Migliazza, Maria Teresa Carriero. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Per L'Ambiente E Il Territorio, 2025
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Abstract
Landslides, especially rockfalls, present a major threat to the safety of infrastructure and communities, making it crucial to develop effective protective measures. Hybrid rockfall barriers, known as attenuators, present an intriguing option in this context as they merge the capacity to absorb impact energy with the regulation of block trajectories. However, many factors, such as geomorphological, topographical and vegetation characteristics, as well as dynamic effects, such as earthquakes and other triggering factors, influence the design of such systems, making it complex. In order to simplify and generalize the design process, this thesis aims to identify the most important parameters for rockfall analysis.
The block volume, velocity and direction of impact were selected through a literature analysis
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