dica, hydraulic engineering division · flow and transport in porous media 4 pore-scale modeling of...

21
DICA, Hydraulic Engineering Division March 2014 March 2014

Upload: ngotu

Post on 21-Feb-2019

254 views

Category:

Documents


1 download

TRANSCRIPT

DICA, Hydraulic Engineering DivisionMarch 2014March 2014

2Staff

Francesco BallioPO

Diego BerziR

Silvio FranzettiPO

Alberto GuadagniniPO

Enrico LarcanPO

Stefano MalavasiPA

Stefano MambrettiPA

Enrico OrsiPO

Alessio RadiceR

Monica RivaPA

Alessio Radice

3Activities

• Groundwater

• Surface water

• Granular flows

I d t i l h d li• Industrial hydraulics

• Measurement and control

Alessio Radice

4Flow and transport in porous media

Pore-scale modeling of (multiphase) flow and transport problems within natural porous media. Transport is modeled from the pore to the field scale accounting for upscaling and transfer of information across scales. Theoretical developments for quantification of uncertainty propagation across observation y gscales.

Fate of reacting solutes and interactions with the host porous matrix in the presence of structural and geochemical medium heterogeneities.Multiscale laboratory data are integrated with original quantitative models that capture the dynamics of solute migration through porous media over multiple space-time scales.

well

Alessio Radice

5Media characterization

cLcl

Development of concepts and associated theoretical and computational tools to analyze, characterize andand computational tools to analyze, characterize and model the multi-scale stochastic nature of natural and reconstructed porous systems.

Geostatistics for characterization of reservoir and aquifer heterogeneity in terms of spatialand aquifer heterogeneity, in terms of spatial distribution of reservoir/aquifer hydrofaciesand parameters governing flow and transport processes.

K [m/s]

Alessio Radice

6Stochastic groundwater

PTOT

y [m]

Modelling uncertainty propagation across scales in subsurface systems with the aim of improving our ability to (a) transfer knowledge from one scale to another, and (b) asses propagation of uncertainty across scales within soilsasses propagation of uncertainty across scales within soils, alluvial aquifers, and geological formations.

Alessio Radice

7Well testing, enhanced oil recovery

To infer hydraulic parameters of aquifer systems and reservoirs

State-of-the art theoretical and computational tools are developed in the context of multiphase flows associated with EOR

Alessio Radice

8Fundamental analysis of sediment transport

Experimental analysis (at Fantoli lab) of the sediment transport process at small scale• Eulerian analysis of sediment kinematics• Interaction between turbulent boundary layer and sediment motion• Interaction between turbulent boundary layer and sediment motion

Alessio Radice

9Fundamental analysis of sediment transport

Experimental analysis (at Fantoli lab) of the sediment transport process at small scale• Lagrangian tracking of individual particles, characterization of trajectories• Models for particle diffusion/dispersion• Models for particle diffusion/dispersion

Alessio Radice

10Bridge scour, experimental analysis

8

9

10

Black-box, physical experimentsPredictive formulae

4

5

6

7

ds/a

1

2

3

4

Alessio Radice

01.E-03 1.E-02 1.E-01 1.E+00 1.E+01 1.E+02 1.E+03 1.E+04 1.E+05 1.E+06 1.E+07

t/t*

11Bridge safety, monitoring

Monitoring system on bridge (Po river at Borgoforte) measuring several parameters (waterelevation, bed level, wind speed, presence of debris) real-time assessment of bridge safetyfactor

Alessio Radice

12Bridge safety, protection against woody debris

Protection structure built on the Po river at Sermide

Alessio Radice

13Sediment transport in mountain basins

Sediment sources and yield (geology) Sediment transport in rivers (hydraulics)

1.E+07

1.E+08

1.E+05

1.E+06

[m3/

year

]

1.E+040 500 1000 1500

[m]

303

301

303

n (m

) water

299elev

atio

n

sediment

Alessio Radice

2970 50000 100000 150000 200000

time (s)

14Flood vulnerability and risk

PEACE TIMEFlood-IMPATPartner: AdB Po

Exposure modeling Vulnerability modeling Hazard modeling

Flood scenario (ex-ante) Physical scenario

Physical effects (flooded areas, water depth, landslides,

t )

EVENT

Flood scenario (ex-post)

Observed damage (direct/indirect, t ibl /i t ibl ) t d t

etc.)

tangible/intangible) to exposed sectorsImplemented (mitigation)

actions

Alessio Radice

EMERGENCY/RECOVERY Poli-RISPOSTA project (POLISOCIAL award)Partners: DEIB, DAStU, Regione Umbria

15Kinetic theory of granular flows

Civil engineeringAstrophysics

GRANULAR MATTER

Industry Bio-engineering

Alessio Radice

16Dry granular flows

V

Theory and numerical DEM simulations: Si l Sh d C tt Fl

δSimple Shear and Couette Flows

Theory: Inclined Flows over rigid and erodible beds

Experiments: partially filled Rotating Drum (Fantoli Lab)

Alessio Radice

17Wet granular flows

Theory : Debris flows and Collisional S di t T tSediment Transport

Theory: Granular fluid front propagationTheory: Granular-fluid front propagation over rigid and erodible beds

Experiments: Granular-fluid collapse (F t li L b)

Alessio Radice

(Fantoli Lab)

18Flow control

CFD modelling and experiments of two-phase flows, to improve regulation devices (valves, plates, orifices) reducing energy dissipation, noise and cavitation) g gy p

Alessio Radice

19Fluid-structure interaction

Experiments and numerical modelling of VIVExperiments and numerical modelling of VIV(Vortex-Induced Vibration)

F t l li d

Alessio Radice

Erosion due to solid particlestransported by water

Forces on rectangular cylinder(confined case)

20Renewable energy

Experiments on WEC at Fantoli Lab

Again VIV, with elastically mounted sphere

G l t t f th

Alessio Radice

Green valve to recover part of the energydissipated in flow control

21Measurements and controls

Certification of flowmeters and other devices

Alessio Radice