Dipartimento di Ingegneria civile ed ambientale
Università degli Studi di Perugia

Chiara Mommi                             

Thesis project title: Visions of the landscape: AI as a tool for Reading Understanding and Interpretation

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Simona Ceccaroni

Thesis project title: The representation of territorial data for urban and landscape regeneration

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Francesco Faralli                                

Thesis project title: Mesoscale modelling of bio-ispired materials

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Elisa Tomassini

Thesis project title: Physics-enhanced machine learning methods for Structural Health Monitoring of bridge networks

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Sara Galeazzi                        

Thesis project title: Understanding the role of vegetation in slope stability through hydrological and mechanical processes

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Matteo Castellani                        

Thesis project title: Artificial Intelligence methodd for Drone inspection and structural health monitoring - AIDBridge

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Pooria Mesbahi

Thesis project title: Probabilistic methods for Structural Health Monitoring of Bridge Networks

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Erica Cernuto

Thesis project title: Landslide interacting with viaducts: a combined approach based on InSAR data and geomechanics models

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Italy, due to its complex geological configuration, has historically been subject to a high density of landslides, which make the territory particularly vulnerable to slope instability from both natural and anthropogenic influences. Road infrastructures, such as bridges, are particularly exposed to these phenomena, which can severely damage their structural components ([1], [2], [3]). Such damage can cause displacements or rotations of the substructures, leading to significant deterioration. In the most extreme cases, these events can result in the complete collapse of the entire deck ([4], [5]). Moreover, landslides pose a particularly dangerous threat because of their often-unpredictable nature, linked to the complexity of the factors that trigger them and the possibility of occurring without warning signs. The correlation between the type of landslide phenomenon and the damage to the structure is not always easy to determine, because landslides vary in volume, type of movement, material, and orientation [6]. In some cases, landslides impact the viaduct in the longitudinal direction, while in other cases, transversely [7]. Currently, there are no univocal models capable of accurately simulating the structural response to different types of interactions.

Filippo Ubertini

Prajwal Giri

Thesis project title: New IoT (Internet of Things) Technology and data fusion for Structural Health Monitoring of Reinforced Concrete Precast Structures

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Andrea Migliosi

Thesis project title: The Chiascio Dam and its Reservoir: Analysis, Models and Scenarios for the Development of the Internal Areas

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The main focus of the research is the case study of Valfabbrica Lake, an artificial Umbrian basin whose unfinished evolution has generated a condition of functional, identity and perceptive suspension. The project proposes an experimental methodology that integrates interdisciplinary landscape reading tools, AI-based simulation devices and visual co-design practices, aimed at exploring new models of interaction between community and landscape through representation. Generative Artificial Intelligence is investigated in its role as a critical and speculative mediator, capable of generating design scenarios capable of giving citizens an active role in the imagination and construction of the territory. The research, of transdisciplinary matrix, thus intends to contribute to the definition of a contemporary paradigm in which aesthetics, the right to landscape and artificial intelligence converge in innovative tools for the governance of places.

Roberta Scungio (affiliation with the national doctorate "Defence from natural risks and ecological transition of buildings" with administrative headquarters at the University of Catania)

Thesis project title: Strengthening of masonry arches and vaults using natural components materials based on hemp ropes and nets

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