9 DOCTORAL THESIS

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Doctoral Thesis 580

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Potential of natural fiber composites for automotive crashworthiness applications

In the next future, industries and companies need to be compliant with the Agenda 2030 (and 2050) requirements on sustainable development and climate change mitigation: some of the seventeen goals concern the minimum threshold of bio-based raw materials in the product manufacturing, and the limitation of gas emissions into the atmosphere. To achieve long-term effects leading to more sustainable components, the use of natural fibers as a reinforcement for composite materials answers well ...

Forecasting Demand and Supply Curves in Day-Ahead Electricity Markets: A Machine Learning Approach

The electricity day-ahead market (DAM) plays an important role in ensuring efficient electrical energy distribution and price setting across mostly deregulated power systems. A key feature of this market is the set of supply and demand curves that are constructed from aggregated bid and offer data. These curves are challenging to forecast due to the heterogenity in their construction across days and hours, their inherently monotonic structure. Additionally in quite a few markets, there c...

Reliability Assessment of Existing Concrete Bridges: Knowledge Uncertainties, Degradation Phenomena, and Seismic Risk

Bridges plays a fundamental role in global economic and social development and represents an essential function in daily life, allowing fast, efficient, and safe movement of people and goods. They primarily consist of aging structures that are aging, designed under old codes, and vulnerable to failures, as highlighted by recent collapses worldwide. The main challenge of research today is to develop efficient and effective assessment methods to evaluate the structural reliability of existi...

Mean-field approaches for the characterization of many-body systems: study of electron scattering and nuclear decay processes in different environments

In this thesis, two theoretical-computational methods for the study and analysis of many-body systems are presented. The protagonist of the first part of this writing will be the Dirac-Hartree-Fock (DHF) method, a relativistic quantum method that defines a mean-field (MF) approximation of the many-particle Dirac equation. This approach, implemented using Hermite Gaussian functions (HGFs) basis sets and radial mesh, will constitute the pivotal element of the first and second chapters. In...

Sibilla: A Comprehensive framework for stochastic system analysis and parameter synthesis

Modern technological systems are becoming increasingly complex, with numerous components that interact and adapt their behaviour based on their environment and the actions of other elements. These systems can be found in various domains, from smart cities and autonomous vehicle networks to biological and social networks. The challenge of understanding, analysing, and optimising such systems is significant, as their behaviour emerges from countless local interactions that can be difficult ...

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