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Data Publication

What controls sill formation: an overview from analogue models

Sili, Giulia | Urbani, Stefano | Acocella, Valerio

GFZ Data Services

(2019)

Descriptions

This data publication includes movies and figures of twenty-six analogue models which are used to investigate what controls sill emplacement, defining a hierarchy among a selection of the proposed factors: compressive stresses, interface strength between layers, rigidity contrast between layers, density layering, ratio of layer thickness, magma flow rate and driving buoyancy pressure (Sili et al., 2019). Crust layering is simulated by pig-skin gelatin layers and magma intrusions is simulated by colored water. The experimental set-up is composed of a 40.5 X 29 X 40 cm3 clear-Perspex tank where a mobile wall applies a deviatoric compressive stress (C, in Table 1) to the solid gelatin (Figure 1). In each experiment is imposed two layers with different density and rigidity, separated by a weak or strong interface, excluding two experiments characterized by homogeneous gelatin (experiment 4 and 12). Three different rigidity contrast (1, 1.3, 1.8) between the two layers are imposed, defined as the ratio between the Young’s moduli of the upper (Eu) and lower (El) layer. By using NaCl and gelatin concentration, two layers with same rigidity but different densities are obtained, investigating the influence of the density contrasts on sill emplacement. The effects of the ratio between layer thicknesses (i.e. the ratio between upper and lower layer thickness: Thu/Thl) was simulated by changing only the thickness of the upper layer; while magma flow rate are studied changing the flow rate of peristaltic pump. Water density was increased by adding NaCl to analyze the effect of changing driving buoyancy pressure (Pm) that depends on the density difference between host rock and magma (Δρ), gravitational acceleration (g) and intrusion length (H). In the table different colors indicate the experiment result: black = dike; red = sill and blue = sheet. The here provided material includes time-lapse movies showing intrusion propagation of the twenty-six models with a velocity of 5 times higher compared to the real time (1 second in the movie is 25 real seconds). These visualizations are side (XZ or YZ plane in Figure 1) and/or top views (XY plane in Figure 1).

Keywords


Originally assigned keywords
buoyancy pressure
intrusion
magmatic process
EPOS
multi-scale laboratories
analogue models of geologic processes
analogue modelling results
earth interior setting > crust setting > continental-crustal setting > upper continental crustal setting
magmatic process > intrusion
dike
sill
Water
Gelatine > Pig skin
Glass/Plexiglas box > Glass/Plexiglas box (cm scale)
Generic camera
Young modulus
Yield stress
Fracture toughness
Density

Corresponding MSL vocabulary keywords
dike
camera
Young's modulus
poroelastic deformation
Young's modulus
yield strength
yield strength
fracture and crack toughness

MSL enriched keywords
Modeled geomorphological feature
volcanic landforms
dike
Ancillary equipment
model surface monitoring (2D)
camera
Measured property
elasticity
Young's modulus
Inferred deformation behavior
deformation behaviour
poroelastic deformation
Measured property
elasticity
Young's modulus
mechanical strength
yield strength
mechanical strength
yield strength
fracture and crack toughness
igneous rock - intrusive
magma
analogue modelling material
elastic modelling material
natural elastic material
gelatin

MSL enriched sub domains i

analogue modelling of geologic processes
rock and melt physics


Source publisher

GFZ Data Services


DOI

10.5880/fidgeo.2019.008


Creators

Sili, Giulia

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0001-5333-7254

Urbani, Stefano

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0002-0421-022X

Acocella, Valerio

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0002-1258-9401


Contributors

Sili, Giulia

DataCollector

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0001-5333-7254

Sili, Giulia

DataCurator

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0001-5333-7254

Sili, Giulia

ContactPerson

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0001-5333-7254

Urbani, Stefano

DataCurator

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0002-0421-022X

Urbani, Stefano

ProjectMember

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0002-0421-022X

Acocella, Valerio

DataCurator

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0002-1258-9401

Acocella, Valerio

Editor

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0002-1258-9401

Acocella, Valerio

ProjectManager

Universitá degli studi "Roma TRE", Rome, Italy

ORCID:

https://orcid.org/0000-0002-1258-9401

Laboratory Of Experimental Tectonics (University Of Roma TRE, Italy)

HostingInstitution

Universitá degli studi "Roma TRE", Rome, Italy


References

10.1029/2018jb017005


Citation

Sili, G., Urbani, S., & Acocella, V. (2019). What controls sill formation: an overview from analogue models [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2019.008


Dates

Issued:

2019


Language

en


Rights

CC BY 4.0