Carolina Introini

ORCID: 0000-0003-4682-1683
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About
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Research Areas
  • Nuclear reactor physics and engineering
  • Nuclear Engineering Thermal-Hydraulics
  • Model Reduction and Neural Networks
  • Nuclear Physics and Applications
  • Nuclear Materials and Properties
  • Fusion materials and technologies
  • Meteorological Phenomena and Simulations
  • Probabilistic and Robust Engineering Design
  • Advanced Data Processing Techniques
  • Gyrotron and Vacuum Electronics Research
  • Particle accelerators and beam dynamics
  • Nuclear and radioactivity studies
  • Fluid Dynamics and Turbulent Flows
  • Fault Detection and Control Systems
  • Metallurgical Processes and Thermodynamics
  • Superconducting Materials and Applications
  • Fluid Dynamics and Vibration Analysis
  • Magnetic confinement fusion research
  • Iron and Steelmaking Processes
  • Real-time simulation and control systems
  • Modeling and Simulation Systems
  • Lattice Boltzmann Simulation Studies
  • Electrical Contact Performance and Analysis
  • Simulation Techniques and Applications
  • Geophysics and Gravity Measurements

Politecnico di Milano
2018-2025

Istituto Nazionale di Fisica Nucleare
2024

University of Milano-Bicocca
2021-2023

Sensor positioning and real-time estimation of non-observable fields is an open question in the nuclear sector, especially for advanced reactors. In Circulating Fuel Reactors (CFR), liquid fuel coolant are homogeneously mixed, thus these reactors will not have internal structures, making sensor primary circuit, including core, unresolved problem, most core blind to sensors. Thus, possibility estimating system state whole domain using a few local measurements has important implications...

10.1016/j.nucengdes.2024.113105 article EN cc-by Nuclear Engineering and Design 2024-03-13

Due to the multiple physics involved and their mutual complex interactions, nuclear engineers researchers are constantly working on developing highly accurate Multi-Physics models, focusing in particular core coupling of Neutronics Thermal-Hydraulics. Nevertheless, development stable models remains a challenging task despite advancements computational hardware software. This work investigates possibility combining available mathematical model with data collected physical systems, two-fold...

10.1016/j.apm.2024.06.040 article EN cc-by Applied Mathematical Modelling 2024-07-02

Compared to conventional engineering systems, nuclear reactors present unique physical and safety features that make their high-fidelity modelling both necessary complex. Indeed, is intrinsically a multi-scale multi-physics task. Up recent years, the approach for saw use of highly performing computer codes hardware retrieve model as close possible reality; whereas this remains true, especially from point view regulators assessments, an alternative has appeared in reactor world. models are...

10.1016/j.nucengdes.2024.113477 article EN cc-by Nuclear Engineering and Design 2024-07-24

Magnetohydrodynamics (MHD) investigates the intricate relationship between electromagnetism and fluid dynamics, offering a complete insight into behavior of conducting fluids under influence magnetic fields. This theory plays pivotal role in framework confinement fusion, where it can be applied to describe both thermonuclear plasmas confined inside vacuum vessel operating fluids, such as liquid metals molten salts, flowing within blanket future tokamaks. Currently, state-of-the-art numerical...

10.1063/5.0230708 article EN Physics of Fluids 2024-10-01

Hybrid Data Assimilation (HDA) methods are a class of numerical that aim at integrating Model Order Reduction (MOR) techniques into (DA) framework, thus combining mathematical models and experimental data. The objective is to reduce the solution time using MOR algorithms whilst keeping accuracy desired level observations, which serve as an update priori prediction model. This two-part work investigated HDA by applying them two classes problems: benchmark cases (part 1) facilities 2). In...

10.1016/j.anucene.2023.109864 article EN cc-by Annals of Nuclear Energy 2023-05-02

Hybrid Data Assimilation (HDA) methods aim at combining the advantages of mathematical models and experimental observations by integrating Model Order Reduction techniques into a framework, thus reducing solution time whilst keeping accuracy to desired level. HDA provide tools able estimate state system assuming have measurements available per each field describing (e.g., neutron flux, temperature, velocity, …). However, it is not always possible measure every interest for various reasons,...

10.1016/j.anucene.2023.109863 article EN cc-by Annals of Nuclear Energy 2023-05-09

Nowadays, interest in combining mathematical knowledge about phenomena and data from the physical system is growing. Past research was devoted to developing so-called high-fidelity models, intending make them able catch most of occurring system. Nevertheless, models will always be affected by uncertainties related, for example, parameters inevitably limited underlying simplifying hypotheses on, geometry equations; thus, a way, there exists an upper threshold model performance. Now, many...

10.48550/arxiv.2401.07300 preprint EN cc-by-sa arXiv (Cornell University) 2024-01-01

As first proposed by Madelung in 1926, the analogy between quantum mechanics and hydrodynamics has been known for a long time; however, its potentialities possibility of using characteristic equations to simulate behavior inviscid fluids have not thoroughly investigated past. In this methodology, incompressible Euler are thus substituted Schrödinger equation, turning quasi-linear Partial Differential Equation into linear one, an algorithm literature as Incompressible Flow. Previous works on...

10.1063/5.0180356 article EN cc-by Physics of Fluids 2024-01-01

The International Fusion Materials Irradiation Facility—DEMO-Oriented Neutron Source (IFMIF-DONES) is an innovative accelerator facility aiming to achieve a high-intensity neutron flux for analyzing and qualifying fusion materials. main objective of IFMIF-DONES study the behavior materials under irradiation conditions compatible with one expected in DEMOnstration power plant (DEMO) reactor. To necessary energy flux, IMIF-DONES accelerates deuteron beam on liquid lithium target test cell...

10.1109/tps.2024.3429634 article EN cc-by IEEE Transactions on Plasma Science 2024-07-26

In recent years, molten salt reactors (MSRs) have gained new momentum thanks to their potential for innovation in the nuclear industry, and several studies on compliance with all expected safety features are currently underway. terms of passive safety, a strategy envisaged accidental scenarios is drain by gravity salt, which acts both as fuel coolant, an emergency draining tank, ensuring subcritical geometry proper cooling. To activate system, freeze plug, made same used core, open when...

10.1080/00295639.2023.2229576 article EN cc-by-nc-nd Nuclear Science and Engineering 2023-08-08

This paper studies Kalman filtering applied to Reynolds-Averaged Navier–Stokes (RANS) equations for turbulent flow. The integration of the estimator is extended an implicit segregated method and thermodynamic analysis flow, adding a sub-stepping procedure that ensures mass conservation at each time step compatibility among unknowns involved. accuracy algorithm verified with respect heated lid-driven cavity benchmark, incorporating also temperature observations, comparing augmented prediction...

10.3390/ma11112222 article EN Materials 2018-11-08

In the continuous strive to improve safety of current-generation and next-generation nuclear power plants, natural circulation can be used design passive systems remove decay heat during shutdown. The Molten Salt Fast Reactor (MSFR) is a peculiar type Gen-IV facility, where fluid fuel homogeneously mixed with coolant. This leads in presence an internally distributed source Furthermore, shield environment from highly radioactive fuel, intermediate loop between primary secondary loops, able...

10.3389/fenrg.2023.1165179 article EN cc-by Frontiers in Energy Research 2023-04-11
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