5 hasil untuk "Alberto Procacci"
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Artikel Jurnal
Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions
Reduced-order models offer a cost-effective and accurate approach to analyzing high-dimensional combustion problems. These surrogate models are built in a data-driven manner by combining computational fluid dynamics simulations with Proper Orthogonal Decomposition (POD) for dimensionality reduction…
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Artikel Jurnal
Accelerating mixing controlled turbulent combustion simulations with hybrid Navier–Stokes/ANN scalar-solvers
Despite advances in computing power, a major limitation in the simulation of turbulent flame stems from the need to track all chemical species involved in the thin reaction zones throughout the flow field. This paper investigates how Reduced Order Models (ROMs), combining data-driven analysis and…
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Artikel Jurnal
Expert-based reduced-order modelling of urban air flow and pollutant dispersion via wind-rose-informed clustering
Urban airflow and pollutant dispersion are strongly influenced by wind direction, which leads to distinct flow regimes characterized by different recirculation patterns, channelling effects, and plume trajectories. These regime changes are difficult to predict using global Reduced-Order Models that…
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Artikel Jurnal
Towards real-time digital twins of combustion systems via soft-clustered local reduced-order models
This work introduces a methodology to develop reduced-order models (ROM) of combustion systems that addresses the challenges of nonlinearity and high dimensionality by combining soft clustering techniques with dimensionality-reduction and nonlinear regression. Clustering is routinely used to…
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Artikel Jurnal Teks lengkap
Digital Twin for Experimental Data Fusion Applied to a Semi-Industrial Furnace Fed with H2-Rich Fuel Mixtures
The objective of this work is to build a Digital Twin of a semi-industrial furnace using Gaussian Process Regression coupled with dimensionality reduction via Proper Orthogonal Decomposition. The Digital Twin is capable of integrating different sources of information, such as temperature…