CORSO - Time Series Analysis and Data-driven Modeling
9, 10 Luglio 2026 15 Luglio 2026 16, 21, 22 Luglio 2026 15:00 – 18:00 10:00 – 13:30 15:00 – 18:00
This doctoral course builds a unified framework linking linearsystems
theory, digital signal processing, and modern artificial intelligence
for structural engineering and structural health monitoring
(SHM). Across the lectures it introduces the core signalprocessing
algorithms — continuous- and discrete-time linear systems,
Fourier analysis, sampling theory, the z-transform, digital filtering,
and statistical, output-only modal identification.
These foundations are then carried into data-driven methods, progressing
from feature engineering and classical machine learning to
deep architectures (CNNs, recurrent and autoencoder models) and,
finally, to physics-informed and hybrid learning that fuses mechanistic
models with data-driven inference.
The unifying goal is the structural health monitoring of real systems:
detecting, localising, and interpreting damage directly from measured
response.
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SEMINARIO - Engineered Earthen Composites for Sustainable, Climate-Resilient, and Affordable Housing
7 Luglio 2026
Earthen construction dates back over 10,000 years ago, with examples
found all over the world. Even nowadays, a significant portion
(> 30%) of the world’s population lives in earth-based dwellings.
Earthen construction provides several advantages over other ordinary
housebuilding methods (e.g., fired masonry and wood construction),
as it is affordable and locally appropriate, energy and
humidity efficient, and environmentally friendly.
The need for affordable and sustainable alternatives to traditional
housing construction is clear: by the end of this century, due to the
expected increase in the world’s population and improvement of
living conditions, two billion new homes will be needed to meet the
future housing demand. However, traditionally-built earthen structures
(i.e., non-engineered cob, rammed earth, or adobe construction)
are often inherently brittle and not capable of resisting extreme
loads from natural hazards such as earthquakes and strong winds;
therefore, they are inadequate for mainstream modern construction.
In the last few decades, significant research has been devoted
to developing engineered earthen composites as a more affordable
and ecologically-friendly alternative to other building technologies.
This presentation will focus on recent research on the use of compressed
and stabilized earth block (CSEB) construction for affordable
and sustainable housing, including a feasibility study for
houses in hurricane-prone regions, novel numerical approaches for
finite element analysis of earthen masonry, the use of natural fiber
and recycled soil, and an investigation on the effects of high temperatures
on the mechanical properties of CSEBs. Finally, other recent
and ongoing research efforts will also be briefly discussed.
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CORSO - Fundamentals of Linear and Nonlinear Structural Dynamics
22, 24, 26 Giugno 2026 and 1, 3, 6, 8 Luglio 2026
The course aims at providing foundational knowledge for understanding
linear and nonlinear dynamical behaviors of structures. It
opens with the formulation of the dynamic model, addressing kinematic
descriptors of motion, rheological models for constitutive behavior,
and external actions. Both linear and nonlinear structural
models are introduced through the corresponding laws of motion.
In the linear framework, the course analyzes harmonic motion and
the free response of the simple harmonic oscillator, including damping
effects. Forced dynamics is explored with emphasis on direct
resonance under harmonic excitation, as well as parametric resonance
in systems possessing geometric stiffness. Multi-degreeof-
freedom systems are studied via modal analysis and the theorem
of modal expansion, including cases with indirect harmonic excitation.
The nonlinear part focuses on paradigmatic systems such as the
Duffing and Van der Pol oscillators. Analytical techniques for nonlinear
equations, particularly the Method of Multiple Scales, are presented
alongside nonlinear normal modes. The effects of damping
and nonlinearities on resonance phenomena, including internal resonances
in multi-degree- of-freedom systems, are discussed. Applications
are developed through case studies supported by symbolic
computation tools.
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SEMINARIO - Introduction to Wind Science and Engineering
3, 5 Giugno 2026 8, 10 Giugno 2026
A wide range of engineering applications require simulation and
estimation of loads and excitations that are random in nature as
they are often associated with hazards such as earthquakes, winds,
waves, etc.
In the first module, the course will introduce the audience (doctoral
students) to the discipline of wind science and engineering. The
lecture will provide students and practitioners with broad instruction
that enables the solution of problems related to the effects of
windstorms on the built environment. At the same time, the audience
will be given some information on wind’s beneficial effects
(wind power). This module will also partially examine modeling of
wind fields and atmospheric turbulence.
In the second module, the course will review theory and methods for
random data (and vibration) analysis and probability for scientists
and engineers; furthermore, the module will discuss aerodynamic
loads, analysis methods applicable to structural systems under random
wind loads. Examples will be primarily related to the field of
wind engineering and structural analysis using wind loads.
In the last module, the course will introduce the audience to the
field of fluid-structure interactions. Various design applications will
be considered.
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SEMINARIO - Mechanical metamaterials: conceptualization, analysis, phenomena, and design
27- 28 maggio 2026
The endless development of physical-mathematical formulations,
powerful analytical methods and computational techniques, combined
with recent extraordinary advances in high-technology microengineering
and high-fidelity manufacturing, are paving the way
for the emergence of an entirely new generation of microstructured
materials, known as mechanical or acoustic metamaterials. The
macroscopic dynamic behavior of mechanical metamaterials can
be governed by appropriately designing the topology, compositeness
and architecture of the periodic cellular microstructure. Proper
optimization of microstructural design can enable extreme or exotic
performance to be achieved, unattainable by natural or traditional
synthetic materials. Consequently, the advent of mechanical metamaterials
opens up completely new and revolutionary possibilities
in the customization of functional and tunable systems with fascinating
applications in traditional and emerging engineering fields,
including shock absorption, noise cancellation, wave focusing, energy
harvesting, vibration shielding and sonar invisibility, among
many others. The objective of this short course is to provide an
updated basic knowledge on mechanical metamaterials, organized
in the following topics: 1. Introduction to mechanical metamaterials,
2. Free wave propagation in periodic materials, 3. Mechanisms
of formation and manipulation of the frequency band structure, 4.
Methods of wave propagation analysis in the time and frequency
domain, 5. Mechanical metamaterials for sound insulation and vibration
protection, 6. Dynamic phenomena in nonlinear metamaterials.
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From Open Loop Data to Closed Loop Poles
20 maggio 2026
Closed-loop (CL) poles estimated from open-loop (OL) data can serve as useful features for system
interrogation and, in control applications, for checking discrepancies between the eigenstructure specified
during design, which reflects model properties, and the eigenstructure that would actually be realized in a
test. While estimating OL poles from OL data does not depend on assumption made on the inter-sample
behavior of the inputs, this is not the case for CL poles because these are affected by how the non-homogeneous part of the discrete-time model is mapped to continuous time. Analysis shows that errors arising from treating typically band-limited OL inputs as zero-order hold (an assumption often adopted by
default) can be significant, even at sampling rates frequently considered high enough to ignore inter-sample
concerns. Also shown is the fact that the straightforward approach of closing the loop on a modally
truncated state-space realization does not yield the poles of the truncated CL system and that analytical
consistency requires that the feedback be accounted for at the level of the experimentally estimated transfer
matrices. Finally, it is shown that pole extraction from experimental transfer matrices can be decoupled
from the residues by adopting a fitness function based on subspace angles (instead of transfer matrix misfit
norms) and that this leads to increases in the basin of attraction of the global minimum.
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Probability Theory and Statistics Part I
13, 20, 27 Maggio 2026
This course provides an introduction to probability and statistics
with a specific focus on applications in structural and geotechnical
engineering. Engineering systems are inherently affected by
multiple sources of uncertainty, including variability in material and
soil properties, randomness in loads, and modeling approximations.
The course aims to equip PhD students with the fundamental tools
required to model, quantify, and propagate uncertainty in engineering
contexts.
The first part of the course introduces probabilistic modeling, including
random variables, common probability distributions used in
engineering, and basic concepts of dependence and uncertainty
propagation. These tools are then employed to formulate and analyze
engineering problems under uncertainty. A central component
of the course is the introduction to structural and geotechnical reliability,
where safety is characterized in probabilistic terms through
limit state functions, probability of failure, and reliability indices.
The second part focuses on statistical methods for the analysis
of experimental data, including parameter estimation, confidence
intervals, hypothesis testing, and regression models. Particular
emphasis is placed on the integration between data-driven approaches
and probabilistic modeling. The course combines theoretical
concepts with engineering-oriented examples, aiming to
provide a coherent framework for uncertainty quantification and
reliability-based analysis in civil engineering.
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CORSO - Scientific Computing and Python Programming
5, 7, 12, 14, 19, 21, 26, 28 Maggio 2026 e 4, 16 Giugno 2026
This course introduces the fundamentals of programming in Python,
with a focus on its use as a flexible and practical tool for scientific
research. It is designed for PhD students with no prior programming
experience and aims to provide a clear and accessible foundation
in computational thinking and coding.
The course covers the basic principles of programming and shows
how these concepts can be applied to scientific research tasks.
Through practical examples, students are introduced to foundational
methods for numerical computation and for data handling
and visualization, including commonly used Python libraries and selected
domain-specific tools. Each lecture combines a theoretical
introduction with hands-on exercises carried out in class, allowing
students to directly apply the concepts and develop practical familiarity
with the language.
By the end of the course, students will be able to analyze and process
experimental data, perform parametric simulations, and automate
repetitive operations through scripting. The objective is to
enable students to approach programming with confidence and use
Python as a flexible support tool in their research workflows.
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CORSO - Variational methods for solid mechanics: elasticity, plasticity and damage
21, 22, 23 aprile; 5, 6, 7 maggio
This course is designed to equip PhD students with advanced mathematical tools for the formulation and solution of complex problems in solid and structural mechanics. Building on the foundations of functional analysis, it introduces variational methods as a powerful framework to extend the notion of solutions beyond the limitations of classical partial differential equation theory. The course emphasizes variational formulations and their role in addressing challenging nonlinear phenomena, with particular focus on material damage and plasticity.
The lectures begin with an introduction to variational methods and the motivation for weak formulations, followed by a detailed treatment of classical elasticity within a variational setting. Key mathematical tools are developed, including functional spaces such as Banach, Hilbert, and Sobolev spaces, along with fundamental embedding and trace theorems. The course then addresses variational inequalities and their applications to nonlinear mechanics, particularly in modeling damage and plastic behavior.
Further topics include existence and uniqueness of solutions, well-posedness, and essential mathematical properties such as coercivity and continuity, together with numerical approximation techniques like the Galerkin method and the theoretical foundations of the finite element method. The course concludes with an analysis of numerical locking phenomena and an introduction to mixed variational methods, including stability conditions such as the inf-sup condition.
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Seismic Assessment of Rocking Structures: From Modeling to Seismic Protection
27 Febbraio 2026
Rigid blocks constitute one of the simplest yet most powerful models for understanding seismic response and protection mechanisms across a wide range of structural and non-structural systems. They capture the behaviour of vulnerable elements, such as statues, equipment, or architectural components, while also providing the conceptual foundation for innovative seismic protection strategies. This seminar explores the dual role of rocking systems as both elements to be protected and devices capable of protecting structures. Starting from the classical rigid-block rocking model, the discussion extends to more advanced formulations that incorporate base compliance, three-dimensional effects, and realistic energy dissipation mechanisms. The analysis then examines systems coupled with isolating layers, hysteretic and viscous dampers, tuned mass dampers, and geotechnical seismic isolation, illustrating how rocking can be transformed from a collapse-prone mechanism into a controlled and beneficial energy-dissipation process. Parametric investigations, supported by numerical simulations and experimental validation, demonstrate the effectiveness of these strategies in reducing overturning risk, limiting acceleration transmission, and regularizing structural response across wide ranges of
geometric and dynamic parameters. Probabilistic assessments further quantify the comparative performance of different protection solutions under uncertainty. Particular attention is devoted to engineered rocking applications, such as rocking piers and rocking-based isolation devices, where soil–structure interaction and controlled rocking coexist to enhance stability and self-centering capacity. Overall, the presentation highlights the emerging paradigm of rocking-based seismic protection, in which rigid blocks evolve from vulnerable components into simple, scalable, and sustainable tools for improving seismic resilience at both component and system levels.
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