Turbulent Pipe Flow - High Resolution Measurements in CICLoPE

The thesis deals with the experimental investigation of turbulent pipe flow at high Reynolds number. Wall-bounded turbulence is an extremely relevant topic for engineering and natural science applications and yet many aspects of the physics are not clear due to the difficulty in performing high Re experiments. To overcome these difficulties the CICLoPE Laboratory was developed, the main element of which is the Long Pipe wind tunnel. The facility is unique in its kind, as thanks to its large scale it delivers a flow quality and resolution that can not be achieved elsewhere at these Reynolds number. Reported here are the results from the first experimental campaign performed in the facility. A first part of the results presented concerns the characterization of this new facility. Flow quality and stability are assessed, particular attention is given to the characterization of pressure drop. The scaling of velocity fluctuations is analysed. The magnitude of the inner peak of the streamwise normal stress shows an increasing trend up to the highest Reynolds number examined, while no outer peak was clearly distinguishable from present measurements. Scaling of coherent motions is investigated via spectral analysis. An inner and outer spectral peaks are identified, with the former scaling in inner units while the latter neither following inner nor outer scaling, and increasing in magnitude with Re. Analysis of the spectra at y+ ≈ 15 shows how the increase of Reynolds normal stress is related to the influence of large scales in the inner wall region. Quadrant analysis was carried out on streamwise and wall-normal velocity fluctuations. The results show the important role in contribution to Reynolds shear stress of highly intermittent and strong events like ejections, that assume an even more intermittent and dominant role with the increase of Reynolds number.

L'elastometria Shear-wave epato-splenica nella diagnosi e stadiazione delle malattie mieloproliferative Ph-negative e della mielofibrosi

Introduzione: La stiffness epato-splenica, misurata attraverso la transient elastography (TE), è stata associata con la fibrosi midollare nei pazienti con malattia mieloproliferativa (MPNs). La rigidità dei tessuti può essere valutata con la shear-wave elastography (SWE), con due tecniche: point (pSWE) e bidimensionale (2DSWE). Obiettivi dello studio sono: 1) identificare le differenze di TE fra i pazienti con MPNs, i cirrotici e volontari sani (HV); 2) valutare specifiche caratteristiche di TE in pazienti con MF, PV ed ET; 3) stabilire una correlazione con il grado di fibrosi midollare. Metodi: in questo studio monocentrico, MPN, cirrotici ed HV hanno eseguito elastometria epato-splenica con pSWE e 2DSWE. Risultati: 236 pazienti sono stati inclusi in questo studio: 64 con MF (27.1%), 33 con PV (14%), 46 con ET (19.4%), 75 HV (32%) e 18 (8%) cirrotici. Al confronto con gli HV, i pazienti con MF hanno maggiore stiffness splenica (pSWE 40.9 vs 26.3 kPa, p<0.001; 2DSWE 34.9 vs 20.1 kPa, p<0.001) ed epatica (pSWE 7.72 vs 5.52 kPa, p<0.001; 2DSWE 6.96 vs 5.01 kPa, p<0.001). Al confronto con i pazienti con PV ed ET, quelli con MF hanno maggiori valori di stiffness epatici (p<0.001) e splenici (p<0.001). In fibrosi di basso (0-1) (n=81 , 60.4%) vs alto grado (2-3) (n=42, 39.6%), sono evidenti valori di stiffness maggiori nei pazienti con fibrosi di alto grado sia per il fegato (pSWE 5.2 vs 6.65 kPa; 2DSWE 5.1 vs 6.05 kPa) che nella milza (pSWE 27.2 vs 37.9 kPa, 2DSWE 21.7 vs 30.75 kPa – p<0.001) Conclusioni: La TE distingue i pazienti con MF sia dai sani che dalle altre MPNs. Valori di TE sono significativamente associati con caratteristiche rilevanti che includono la fibrosi midollare in tutte le MPNs. I valori di stiffness epatici e splenici sono pertanto rilevanti nella diagnosi e management delle MPNs.

High-resolution stratigraphy and seismic site characterization of late Quaternary paleovalley systems (Adriatic coastal plain, Italy)

In highly urbanized coastal lowlands, effective site characterization is crucial for assessing seismic risk. It requires a comprehensive stratigraphic analysis of the shallow subsurface, coupled with the precise assessment of the geophysical properties of buried deposits. In this context, late Quaternary paleovalley systems, shallowly buried fluvial incisions formed during the Late Pleistocene sea-level fall and filled during the Holocene sea-level rise, are crucial for understanding seismic amplification due to their soft sediment infill and sharp lithologic contrasts. In this research, we conducted high-resolution stratigraphic analyses of two regions, the Pescara and Manfredonia areas along the Adriatic coastline of Italy, to delineate the geometries and facies architecture of two paleovalley systems. Furthermore, we carried out geophysical investigations to characterize the study areas and perform seismic response analyses. We tested the microtremor-based horizontal-to-vertical spectral ratio as a mapping tool to reconstruct the buried paleovalley geometries. We evaluated the relationship between geological and geophysical data and identified the stratigraphic surfaces responsible for the observed resonances. To perform seismic response analysis of the Pescara paleovalley system, we integrated the stratigraphic framework with microtremor and shear wave velocity measurements. The seismic response analysis highlights strong seismic amplifications in frequency ranges that can interact with a wide variety of building types. Additionally, we explored the applicability of artificial intelligence in performing facies analysis from borehole images. We used a robust dataset of high-resolution digital images from continuous sediment cores of Holocene age to outline a novel, deep-learning-based approach for performing automatic semantic segmentation directly on core images, leveraging the power of convolutional neural networks. We propose an automated model to rapidly characterize sediment cores, reproducing the sedimentologist's interpretation, and providing guidance for stratigraphic correlation and subsurface reconstructions.