Geotechnical Testing Journal, Vol. 32, No. 2
Paper ID GTJ101366
Available online at: www.astm.org
Lucio Olivares,1 Emilia Damiano,1 Roberto Greco,1 Luigi Zeni,2 Luciano Picarelli,1 Aldo Minardo,2
Andrea Guida,1 and Romeo Bernini3
An Instrumented Flume to Investigate the
Mechanics of Rainfall-Induced Landslides in
Unsaturated Granular Soils
ABSTRACT: The mechanics of rainfall-induced flowslides in pyroclastic soils have yet to be completely clarified. The complexity of phenomena
(rainfall-induced failure in initially unsaturated granular deposits, post-failure transition to flow-like landslide) requires the use of a well-equipped
small-scale flume. To this aim, flume experiments at the Second University of Naples were performed to analyze the fundamental aspects of such
phenomena. A new experimental program is now being carried out to assess the performance of a time domain reflectometry device and optical fibers
as indicators of impending failure. The paper describes the instrumented flume and the procedures adopted for monitoring the major aspects of slope
behavior. Our first experimental results are very promising in this respect.
KEYWORDS: instrumented flume, flowslides, pyroclastic unsaturated soil, TDR device, optical fibers
Introduction
Every year, rainfall-induced flowslides cause loss of life and damage to property in Campania (southern Italy), one of the most
densely populated areas in Europe. To mitigate the risk involved,
which threatens thousands of people, substantial institutional and
research efforts are being made, but radical mitigation of the consequences of flowslides can be obtained only when complete understanding of the causes and mechanics of movement is attained. To
this aim, physical modeling is extremely useful. Due to the rapidity
of movement, which makes in situ monitoring very difficult, physical modeling alone makes it possible to capture important aspects
of slope behavior and to check relevant hypotheses concerning the
mechanical process which governs the transition from slope rupture to flow.
At the Geotechnical Laboratory of CIRIAM (Interdepartmental
Research Centre in Environmental Engineering), an instrumented
flume was built to investigate the mechanics of rainfall-induced
slope failure and flowslide initiation in unsaturated granular soils
(Damiano 2004). At present, research is being focused on those indicators of impending failure which can help set up new systems
for rapid assessment of flowslide development.
Flowslide Occurrence in Campania
In the last ten years, a number of rainfall-induced flowslides have
caused almost 180 victims and extensive destruction in urban and
Manuscript received July 25, 2007; accepted for publication November 26,
2008; published online January 2009.
1
Department of Civil Engineering/Interdepartmental Research Centre in Environmental Engineering, CIRIAM, Second University of Naples, via Roma 29,
81031 Aversa (CE), Italy.
2
Department of Information Engineering/Interdepartmental Research Centre
in Environmental Engineering, CIRIAM, Second University of Naples, via
Roma 29, 81031 Aversa (CE), Italy.
3
IREA-CNR, via Diocleziano 328, 80124 Naples, Italy.
extra-urban areas of Campania. The most damaging landslides occurred in 1998, in Sarno, Quindici, Bracigliano, and Siano, but
other killer flowslides took place in 1997, 1999, 2005, and 2006.
Such events are far from new: similar phenomena are recorded
from earlier in the 20th century, while others are mentioned in the
chronicles of previous centuries.
Flowslides involve primary pyroclastic deposits consisting of
alternating layers of unsaturated volcanic ash (nonplastic silty
sand) and pumice (gravelly sand), which cover steep slopes. Typically, the maximum overall thickness of such deposits is a few metres, but triggered landslides can progressively incorporate the material found along their path, reaching a size of some tens of
thousands of cubic metres. Movement can attain a peak velocity in
the order of a few tens of metres per second (Faella and Nigro
2003), and displays a flow-like manner, as testified by eye-witness
accounts and films showing that the soil mass moves like a flood,
filling tracks and concavities present on the ground surface, and
stopping only on flat areas or because of impact against structures.
After arrest, the mud swiftly consolidates, taking the aspect of a dry
soil.
Several authors (Sladen et al. 1985) assume that flowslide generation is the result of soil liquefaction; i.e., of shear strength decrease due to rapid accumulation of positive excess pore pressure.
However, liquefaction can develop only where the following conditions are satisfied (Olivares and Picarelli 2001): (i) the soil is either
saturated or nearly fully saturated; (ii) slope failure and initial soil
movement can cause the buildup of excess pore pressure; (iii) the
soil is susceptible to liquefaction; (iv) the rate of soil deformation is
so fast as to impede excess pore pressure dissipation or to regenerate excess pore pressure during movement.
Due to the low height of the capillary fringe of pyroclastic soil,
the first condition is usually found only below the water table; in the
case of steep slopes in Campania, the shallow pyroclastic deposits
are above the water table and unsaturated, and saturation can be
reached only as a consequence of long lasting heavy rainfall. The
occurrence of the second condition can be the result of several
mechanisms, such as volumetric collapse due to saturation, rapid
Copyright © 2009 by ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959.
1
2 GEOTECHNICAL TESTING JOURNAL
progressive failure (Olivares and Picarelli 2006) and impact (Cairo
and Dente 2003), which may lead to rapid soil deformation. The
third condition can be tested in the laboratory through undrained
shear tests. By testing natural or reconstituted specimens, it has
been shown that liquefaction is typical of loose gravelly sand or
silty sand (Hunter and Fell 2003) with a nonplastic fine-grained
component (Yamamuro and Lade 1998). The fourth condition generally applies in the case of steep slopes, since slope rupture and
liquefaction cause a dramatic acceleration of the soil mass. Therefore, excess pore pressure remains high or regenerates during
movement as a consequence of internal stress changes, unless the
soil is very coarse and able to dissipate excess pore pressure before
arrest (Picarelli et al. 2007). It has been maintained (Iverson 1997;
Musso and Olivares 2003) that such acceleration can result in transition from a purely frictional to a collisional regime, causing complete soil fluidization.
Brief Considerations about the Mechanics of
Flowslides in Campania
Experience regarding flowslides in the region of Campania shows
the following. (i) They develop along quite steep slopes: typical
angles in areas subject to flowslides range between 35° and 45° (de
Riso et al. 1999). (ii) The material involved consists of regularly
layered air-fall pyroclastic soils: the layers are constituted by nonplastic silty sand (volcanic ash) and gravelly sand (pumice); the
bedrock (typically, limestone, tuff, or flysch) is generally located at
a small depth (a few metres). (iii) Despite the presence of silt,
which can attain locally a percentage of 50 %, pyroclastic soils are
generally completely cohesionless, with a friction angle ranging
from 35° to 39°. (iv) Slope stability is assured by partial saturation
of soil: suction varies with grain size, depth from the ground surface, and seasonal conditions. Peak values attain 80– 90 kPa, which
corresponds to an apparent cohesion up to 10– 15 kPa (Olivares
and Picarelli 2006). (v) Air-fall volcanic ash is generally susceptible to liquefaction.
Slope failure is primarily caused by suction decrease during
rainfall. This mechanical process is associated with increasing soil
deformation which announces impending slope failure.
In the hypothesis of an infinite slope, the safety factor can be
evaluated by the following expression:
FS = lim/ = 兵关c⬘ + 共ua − uw兲 tan ⬘兴
+ 共␣ − ua兲tan ⬘其/共␥z sin ␣ cos ␣兲
(1)
where: lim is the shear strength of soil along a plane parallel to the
ground surface evaluated by means of the extension of the MohrCoulomb criterion (Fredlund and Rahardjo 1993) for unsaturated
soil,4
c⬘ is the effective cohesion, usually negligible in such soils,
⬘ is the friction angle,
共ua − uw兲 tan ⬘ is the apparent cohesion due to matric suction,
is a factor 共艋1兲 related to water content,
共␣ − ua兲 is the normal net stress along a plane parallel to the
ground surface,
␥ is the unit weight,
z is the depth from the ground surface, and
4
Following the extension of the Mohr-Coulomb criterion, the strength envelope
is parallel to the envelope for fully saturated conditions, and the larger resistance
associated to partial saturation is due to a larger intercept of cohesion related to
suction through the term 共ua − uw兲 tan ⬘.
TABLE 1—Main features of the equipment.
Channel
Upper part
Lower part
Length
2.10 m
1.20 m
Width
0.80 m
0.80 m
Height
2.50 m
1.40 m
Max
slope
0°/65°
0°/30°
Soil layer
Max
length
1.90 m
Max
width
0.50 m
Max
height
0.50 m
Max
slope
65°
␣ is the slope angle.
The evolution of the safety factor during infiltration is essentially due to reduction in the intercept of cohesion. At the beginning
of the infiltration process a wetting front advances nearly vertically
in the subsoil and hydraulic conductivity continuously changes as a
function of the degree of saturation. Subsequently, the hydraulic
conductivity attains its maximum value and the flow component
parallel to the slope increases, also affecting the local value of pore
pressure according to flow direction. This implies that the safety
factor depends on elevation, since at any elevation, a different
lim / can be calculated. However, for tan ␣ ⬍ 共␥⬘ / ␥sat兲tan ⬘ slope
rupture cannot occur. In contrast, for tan ␣ ⬎ tan ⬘ rupture can
occur before complete saturation, say, when some apparent cohesion due to suction is still present, while for tan ␣ 艋 tan ⬘, failure
can occur only for saturated soil. As discussed above, failure in
saturated soil (or near to saturation) is a condition under which liquefaction can take place and a flowslide can fully develop (Olivares
and Picarelli 2003).
The Instrumented Flume and Testing Procedures
The flume apparatus was designed to reproduce and investigate, in
a controlled environment, rainfall-induced slope failure in unsaturated soils. The apparatus is heavily instrumented in order to capture
all the fundamental mechanical aspects of slope behavior, and to
assess the role played by single factors, such as geometry, initial
and boundary conditions, and soil properties, on the mechanics of
rupture and on the landslide pattern (slide or flowslide) and magnitude. Another important aspect of ongoing research is to test new
instruments to be used in situ for early warning of landslide occurrence.
The flume built at the Geotechnical Laboratory has the characteristics reported in Table 1 and in Fig. 1. A small-scale slope can be
reproduced, by reconstitution of soil inside the flume. Different
slope morphologies can be adopted: so far, only the case of homogeneous long deposit has been investigated (the thickness is less
than 1 / 10 the length, allowing the infiltration process to be analyzed under the assumption of an infinite slope).
The flume consists of two main parts (each supported by two
metallic frames hinged together to permit constrained relative rotation between the two parts of the flume) in order to simulate a
change in slope at the toe of the deposit (Fig. 1(a); the deposit is
reconstituted only in the first part of the flume) and a deposit with
two different slope angles (the deposit is reconstituted in both parts
of the flume). The sides of the flume are made of transparent plexiglass sheets. On the bottom, calcareous grains glued on a rubber
sheet reproduce an impervious frictional contact (Fig. 1(c); the rubber sheet is sealed with silicone sealant). A pervious boundary can
also be obtained by substituting the rubber sheet with a pervious
sheet (geotextile).
OLIVARES ET AL. ON FLUME TO INVESTIGATE LANDSLIDES
3
FIG. 1—The instrumented flume (LT= laser transducer; MT= minitensiometer; PT= pressure transducer; LC= load cell; TDR= TDR probe; VC= digital video camera; SF= sensing fiber). (a) cross section. (b) plan-view. (c) details of installation of pressure transducers (on the left) and load cells (on the right).
An artificial rainfall system was designed to simulate uniform,
continuous rainfall with an intensity between 10 mm/ h and
80 mm/ h. The rain is generated by spray nozzles installed above
the lateral sides of the flume. The nozzles produce nebulized water
particles 0.1 mm in diameter, in order to prevent erosion of the soil
surface.
The equipment allows slope behavior to be investigated for different slope inclinations, which plays a major role in the postfailure movement pattern. The influence of grain size, layering, initial soil density, and water content can be easily investigated using
different materials and soil preparation procedures.
Monitoring System
The research focuses on the mechanics of slope behavior from prefailure to post-failure. Concerning pre-failure, different instruments are used to measure any change in soil properties (water content, degree of saturation, porosity), state of stress (suction, pore
pressure and total stress), and displacement pattern (movements ux,
uy, and uz along x, y, and z axes as in Fig. 1). The soil properties are
measured directly, through soil sampling, or indirectly, through a
time domain reflectometry (TDR) probe (water content). The state
of stress is measured by micro-transducers, i.e., tensiometers, pore
pressure probes, and total stress cells. The displacement field is ob-
Manufacture/
Type
Soil Moisture
Corp/2100F
Measurement
Device
Matric suction
Tensiometer
Mesurement
Device
Manufacture/
Type
Sensor
Water content
profile along z
TDR apparatus
Tektronix/
1502C Cable
Tester
Home-made
metallic
waveguide
Mesurement
Displacements uz
Micro Epsilon/
ILD 1400-100
Measurement
Manufacture/
Type
Sensor
Micro Epsilon/
displacement
ILD 1400-50
Micro Epsilon/
Sensor displacement
ILD 1400-1000
Device
Device
Sensor
Porous
ceramic cup
Sensor
Laser CCDarray
Laser CCDarray
25 mm
Transducer
Current
transducer
Operating
range
Linearity
Hysteresis
Output
Sampling
frequency
0 – 100 Pa
0.25 %
⬍1 %
4 – 20 mA
750 Hz
Nominal
pulse rise
time
Observed
pulse rise
time
Maximum spatial
resolution
Maximum
temporal
resolution
Volumetric
water
content
90 ps
200 ps
2 cm at
1 cm at
= 0.1 m3 / m3 = 0.2 m3 / m3
15 s
0.01 m3 / m3
Housing size (L by W by H)
Mesuring
range
Resolution
Linearity
Output
Operating
temperature
Sampling
frequency
65 mm by 20 mm by 50 mm
50 mm
5 µm
±0.2 %
4 – 20 mA
0 – 55 ° C
1 kHz
65 mm by 20 mm by 50 mm
100 mm
20 µm
±0.2 %
4 – 20 mA
0 – 55 ° C
1 kHz
Diameter
Length
1 mm
up to
95 mm
Manufacture/
Type
Sensor
Housing size (L by W by H)
Frame rate
Resolution
Pixel size
Video output
Image area
Sampling
frequency
45 mm by 62 mm by 62 mm
11.75 fps
1300 by 1030
6.7 µm by
6.7 µm
RS-644
50 cm by
50 cm
0.1 Hz
Dimension
Diameter
Height
Operating
range
Resolution
Linearity
Output
Operating
temperature
Natural
frequency
0 – 35 kPa
0.1 % f.s.
±0.2 %
0 – 35 mV
−20– 120 ° C
55 kHz
Dimension
Diameter
Height
Operating
range
Resolution
Linearity
Output
Maximum
overloading
4.5 mm
0 – 200 kPa
0.2 %
±0.1 %
0 – 35 mV
150 %
Resolution
Maximum
temporal
resolution
1 min
Digital camera
Basler/A101P
2/3
⬙
interline
transfer
progressive
Mesurement
Device
Manufacture/
Type
Sensor
Pore water
pressure
Pore pressure
transducer
Druck/
PDCR81
Integrated
silicon strain
gauge
Mesurement
Device
Total stress
Pressure
gauge
Mesurement
Device
Rainfall intensity
Rain gauge
Temperature
6 mm
Dimension sensor
Displacements ux;
uy
Relative humidity
Sensor dimensions
Diameter
Height
Manufacture
Type
TML/
miniature PDAPA
Manufacture/
Type
Oregon
Scientific/
PCR918N
Oregon
Scientific/
BTHR918N
Sensor
6.3 mm
11.4 mm
1 mm
Dimension sensor
Sensor
Tlpping bucket
Diameter
Height
Operating
range
113.5 mm
145 mm
0 – 999 mm/ h
1 mm/ h
−5 ° – 50 ° C
0.1 ° C
1 min
2–98 %
1%
1 min
4 GEOTECHNICAL TESTING JOURNAL
TABLE 2—Main characteristics of the devices.
OLIVARES ET AL. ON FLUME TO INVESTIGATE LANDSLIDES
Cable Tester
suction [kPa]
6
(ua-uw)=1.6kPa
5
cm
Coaxial cable
Time-lag=2.2min
4
9.6
(ua-uw)=2.4kPa
Time-lag=2.7min
9.6 cm
Time-lag=1.7min
7
1.3 cm
Metallic rods
8
1 mm (diameter)
9
5
(ua-uw)=5.2kPa
FIG. 3—Diagram and photograph of the TDR experimental apparatus.
3
2
0
5
10
15
20
25
30
35
40
45
50
time [min]
FIG. 2—Typical response of submerged small-tip tensiometers.
tained through laser transducers and video cameras. Optical sensing fibers are currently being adopted to assess their reliability for
rapid field alerting of landslide occurrence.
As regards post-failure, monitoring was mostly designed to
measure excess pore pressures induced by rupture and early postrupture soil deformation (static liquefaction and possible fluidization 5). To this aim, miniature pore pressure transducers and highdefinition mobile video cameras have a prominent role. The
characteristics of each device, reported in Table 2, are described
below. Since TDR and optical fibers are not usually adopted in Geotechnical Engineering, some additional information is provided.
Tensiometers—Suction is measured by conventional jet-fill
type tensiometers (model 2100F—Soilmoisture Equipment Corp.)
(Table 2). These consist of a high air entry 共100 kPa兲 porous ceramic cup connected to a pressure-measuring device through a
small-bore tube filled with de-aired water. The cups can be freely
located everywhere in the soil by manual installation at the selected
depth. The instruments are connected to a PC for data acquisition
and storage.
The response of the adopted tensiometers was tested, proving
fast enough to follow the expected changes in suction during infiltration in the flume. Figure 2 illustrates the response of three tensiometers during immersion in water under suction increases between 1 kPa and 5 kPa. The time-lag (about 1 min per 1 – 2 kPa of
suction change) is a function of the applied increment of suction.
During the test, as discussed below, suction progressively changes,
and a time lag of 1.5 min may be considered an acceptable time lag
for the infiltration process.
TDR Device—Time domain reflectometry (TDR) has been
widely used in recent decades to measure soil water content both in
the laboratory and in the field. The experimental setup consists of a
Tektronix 1502C cable tester and a home-made three-rod metallic
waveguide (Fig. 3). The probe, vertically installed in the soil and
connected to the cable tester, allows measurement of the volumetric
water content profile within the entire soil layer. The main characteristics of the experimental apparatus are given in Table 2.
TDR measurement is based on the strong correlation between
bulk dielectric permittivity r of wet soil and its volumetric water
5
The process of static liquefaction corresponds to a progressive decrease in
shear strength to zero while pore pressure monotonically increases. When the
strain rate assumes high values, the interaction between grains and water causes
a further pore pressure increase up to a value where the submerged weight of the
soil column is entirely balanced by excess pore pressure. In this case, the state of
complete fluidization is reached (Musso and Olivares, 2003).
content (Campbell 1990). Usually, soil permittivity is estimated
by measuring the mean speed of an electromagnetic pulse travelling along a metallic probe buried in the soil, providing the mean
water content in a cylindrical volume around the probe, with diameter comparable to probe external rod spacing. Several expressions
of the r共兲 relationship are available in the literature, empirically
stated (Topp et al. 1980) as well as based on a semi-analytical approach to dielectric mixing models (Roth et al. 1990; Whalley
1993; Gong et al. 2003), applying to many soils without the need of
calibration, with absolute errors in estimated water content smaller
than 0.03 m3 / m3. The accuracy of water content assessment may
be improved up to 0.01 m3 / m3 by experimentally determining specific calibration relationships through gravimetric tests coupled
with TDR measurements carried out over small soil samples.
Recently, several studies have been devoted to developing innovative methods to extract more information from TDR measurements, in order to estimate non-homogeneous moisture profiles
along the probe axis (Oswald et al. 2003; Greco 2006; Moret et al.
2006). In this study, we use the inverse profiling method proposed
by Greco (2006), recently applied to the retrieval of water content
profiles in reconstituted sandy soil samples in the laboratory.
Rainfall and Temperature Gauges—Rainfall intensity
and air temperature are measured, respectively, by an Oregon Scientific PCR918N rain gauge and a standard thermocouple, controlled with a WMR928NX weather station. Another thermocouple
is installed within the soil layer to measure possible temperature
changes during the test. Cumulative rain height is measured every
minute. Rainfall intensity is calculated by differentiating the hyetogram.
Laser Sensors and Particle Image Velocimetry
System—Soil surface displacements are monitored by means of
laser sensors and a particle image velocimetry (PIV) system. The
laser sensors (models ILD1400 and ILD1500—Micro Epsilon) allow the settlement of the ground surface to be monitored (displacement component along axis z in Fig. 1). The device exploits the
principle of optical triangulation: a modulated light is projected
onto the target (soil surface), and the distance is evaluated by the
intensity of the reflected diffused light (measured by CCD-array
sensors) captured by a receiving lens arranged at a certain angle
with respect to the optical axis of the laser beam.
The instruments are located above the ground surface with the
optical axis 共z兲 perpendicular to the monitored surface. Orthogonal
deviations between 5° and 15° correspond to errors in the evaluation of the distance of about 0.5 % of the measurement field. The
roughness of the target surface and the presence of water drops produce a noise that in the current applications is nevertheless acceptable: the records plotted in Fig. 4 show that the noise is in the order
6 GEOTECHNICAL TESTING JOURNAL
1.6
0
noise
pore pressure [kPa]
0.0
2
0.2
3
4
5
6
0.4
0.6
0.8
time [min]
1.0
7
15
16
17
5
10
15
20
time [min]
25
FIG. 4—Typical measurement of settlement of the ground surface by laser
transducers.
of one tenth of a millimetre.
The PIV system, consisting of three high definition digital videocameras (model A101P—Basler) connected to digital image acquisition boards (National Instruments hardware components), was
designed to monitor and store the images with 0.1 Hz frequency
sampling. Two cameras are located over the ground surface to
monitor the components of displacements along axes x and y. The
other is placed on the lateral side of the flume to monitor the components along axes x and z (Fig. 1). The cameras placed above the
flume are motorized and can move with pre-defined acceleration or
velocity to follow the movement of soil particles. Each camera is
placed at such a distance from the soil surface as to capture a
50 cm⫻ 50 cm image, thus exploiting the maximum definition
共3 megapixels兲. The image contains a number of particles (about
0.1 mm in diameter) sufficient to correctly define the displacement
field through a PIV technique. These characteristics allow proper
investigation of both the pre-failure and post-failure stage up to a
displacement rate of 1 m / s. The system is designed to activate the
storage of images for set values of movement (threshold of
activation).
The image shown in Fig. 5 highlights the quality of the digital
tension crack
10
20
30
1.24
4
1
31.1
2
-2
u 31.1
10
-30
0.8
0.6
0.4
0.2
18
8
0
0
rottura
1.4
1
uz [mm]
displacement uz at ground surface
[mm]
-1
40
50mm
FIG. 5—Image captured by the PIV system during rainfall.
0
1850
1855
1860
1865
1870
1875
time [s]
FIG. 6—An example of pore pressure measurement.
video system, which is able to recognize single soil particles and
the development of cracks, and demonstrates the negligible influence of background noise due to artificial rainfall (interference of
water drops).
Pore Pressure Transducers—Positive pore pressure is
measured by miniature silicon diaphragm pressure transducers
(model PDCR81—Druck) with an integral semiconductor straingauge bridge (Hight 1982) installed at the base of the flume. The
devices have a very low volume capacity (the volume of water between the high air-entry porous stone and the diaphragm is 1 mm3)
with a high resolution 共0.03 kPa兲 and short time lag 共0.05 s兲. The
full scale operating pressure 共35 kPa兲 was chosen with reference to
the maximum expected pore pressure during the tests. An example
of monitoring is shown in Fig. 6.
Optical Fibers—With distributed optical fiber sensing,
which has been successfully employed in monitoring steel beam
deformations (Niklès et al. 1997), strain and temperature can be
captured along the entire length of a fiber embedded in the soil
through stimulated Brillouin scattering (SBS) measurements.
(Thevenaz et al. 1998; Aulack et al. 2004; Fujihashi et al. 2003).
The experimental setup is illustrated in Fig. 7. Light emitted by a
distributed-feedback diode laser is first split into two arms by a
fiber-fused coupler. An acousto-optic modulator (AOM) is used to
provide pulses with widths down to 20 ns (corresponding to 2 m
spatial resolution), whereas the cw (continuous wave) probe signal
is generated by the electro-optic modulator using the sideband
technique (Bernini et al. 2004). The detector consists of an InGaAs
photodetector, whose output is sent to an A/D converter connected
to a notebook via a USB port. Data are periodically transferred to
the notebook, which also performs processing. A frequency shift of
300 MHz is induced by the AOM on the pump optical frequency,
such that only one of the two sidebands can effectively interact with
the pump wave for Brillouin scattering generation. This provides
inherent stability to the system, as it is totally immune to any drift
of the source wavelength.
The system is operated with a 2 m spatial resolution, while 2000
averages are taken for each fixed pump-probe frequency shift in
order to increase the signal to noise (S/N) ratio of the measurements. The acquired waveforms are processed by a standard
Lorentzian fitting technique. Given the time required to perform the
whole process 共acquisition+ processing兲, the system is capable of
providing a new updated Brillouin frequency shift distribution
OLIVARES ET AL. ON FLUME TO INVESTIGATE LANDSLIDES
7
FIG. 7—Experimental setup for SBS-based fiber-optic measurements (C = optical circulator; PC= polarization controller).
along the sensing fiber about every 15 min. The sensitivity of the
sensor to the longitudinal strain experienced by the fiber is ±20µ,
while the sensitivity to temperature is 1 ° C.
The fiber employed for the experiments is a single-mode standard optical fiber, protected by an outer PVC jacket with a diameter
of 900 µm. The total length of the fiber is about 35 m. Two
1-m-long strands of fiber are placed within the soil layer, in the
longitudinal direction of the flume. The two strands are separated
by a fiber spoil of about 15 m, placed outside the soil and not subjected to strain.
Soil Preparation and Test Procedures
Different techniques (pluviometric deposition, moist-tamping,
etc.) can be used to reproduce natural field conditions. In the case of
the air-fall pyroclastic soils found in Campania, the main problem
is to obtain a porosity as high as 70–75 %, which characterizes the
deposits northeast of Naples (Picarelli et al. 2006). From our experience, the moist-tamping technique is the easiest way to obtain
high porosity, provided a very low compaction energy and a water
content between 30 % and 50 % are used. In order to obtain a uniform distribution of porosity and water content, the soil is laid on
the flume in thin layers with a thickness of around 0.5 cm.
During formation of the layer, the optical fiber is placed along
the slope at a selected depth (Fig. 8). Small geo-grids (1 cm by
1 cm) are glued to the fiber in order to prevent relative movements
between the latter and the surrounding soil. In contrast, the tensiometers and the TDR device are installed only after formation of
the layer.
To prevent evaporation, after deposition the soil layer is covered
by an impervious membrane. Suction and water content are then
monitored by tensiometers and TDR. In general, a time of about
48 h is sufficient to attain an equalization of suction. An example is
reported in Fig. 9: initially, at midheight of the layer, the suction
ranges between 43 kPa and 49 kPa with a maximum variation less
than 13 %; this becomes about 3 % after 10 h. Finally, the flume is
tilted to the prefixed slope angle and the test can start.
of 38° and a nil value of cohesion c⬘, measured through CID and
CIU triaxial tests on saturated natural samples (Olivares and Picarelli 2003). The other soil properties, the geometrical features of
the model slope, and the adopted rainfall intensity are reported in
Table 3. For the water content measurement by TDR technique on
this soil the 共r兲 relationship was experimentally determined on
reconstituted samples (Damiano et al. 2008) since the “universal
calibration relationship” by Topp et al. (1980) leads to soil water
content underestimation for such a loose soil. Soil behavior in the
pre-failure stage can be investigated by comparing the measured
values of suction with the water content profile and with the displacement of the ground surface. The post-failure stage can be examined through the correlation between the pore pressures measured at the base of the slope and the velocity attained by the
mobilized soil mass.
The trend of suction with time is shown in Fig. 12(a). Indeed, all
the tensiometers record a strong decrease in suction (20 kPa in
about 20 min) and the infiltration front gradually moves from the
ground surface to the base, as indicated by the delay of the devices
located near the bottom of the model slope. Only 10 min after the
beginning of the test, the deep tensiometers start to record major
changes in suction. Due to progressive soil saturation, the volumetric water content also increases (Fig. 13) and the soil exhibits intense volumetric collapse due to high porosity, as revealed by soil
surface settlement increase (Fig. 12(b)). Figure 13 shows some of
the volumetric water content profiles measured at various times
during the experiment. The shape of profiles is consistent with the
expected infiltration process: in the very first stage, the water content shows a difference between the values recorded in the most
superficial zone and those recorded in the deepest one, which confirms wetting of the uppermost soil layer, while it finally tends to a
nearly constant vertical profile because of full saturation corresponding to a water content close to porosity. The last profile shown
in Fig. 13 corresponds to a few seconds before slope failure when
soil saturation is reached; the lower water content recorded near the
base of the slope can be related to a decrease in porosity at the base
of the layer due to volumetric collapse. In the same phase (around
30 min from the beginning of the test), suction vanishes practically
everywhere. As revealed by the course of displacements, in this late
Results
Figure 10 shows the experimental setup of a calibration test (Test
A1) performed on the Cervinara ash subjected to uniform rain. The
slope angle is 40°, very close to the friction angle of soil and an
impervious boundary condition at the bottom of the slope is reproduced by means of a sealed rubber sheet (see Fig. 1(c)). The soil is
a nonplastic silty sand (Fig. 11) characterized by a friction angle ⬘
TABLE 3—Geometrical features of the model slope and soil initial
conditions—Test A1.
Slope
Water
Degree of Matric
Rainfall
angle Length Height content Porosity saturation suction
intensity
40°
1.00 m 0.10 m 50 %
75 %
43 %
9 – 20 kPa 40 mm/ h
8 GEOTECHNICAL TESTING JOURNAL
60
initial water content 40%
55
15cm
20cm
15cm
suction [kPa]
50
45
40
35
20cm
Sensing fibre
Sensing fibre
30
0
2
4
6
8
time [h]
10
FIG. 9—Suction equalization after formation of the layer as revealed by
tensiometers.
FIG. 8—Installation of the sensing fiber.
stage slope instability (inability of soil to sustain the stresses associated with gravity) is imminent.
Failure is announced by pore pressures (Fig. 14), which become
positive: this means that there is ponding at the impervious bed of
the flume. A few seconds after failure, a sudden increase in pore
pressure occurs: as a consequence, the shear strength at the base of
the slope experiences a drop, which results in an acceleration of the
mobilized soil mass and the attainment of a very high velocity. As
the transducers are left partially or fully uncovered by the soil, a
reduction in pore pressure is recorded.
The whole failure process can be re-examined through the images obtained with the digital video system. The first stage of infil-
tration causes a practically uniform displacement field throughout
the slope (section A-A⬘ in Fig. 15(a)), given by the component of
soil deformation in the direction of the slope (Fig. 15(b)). In the
early post-failure stage (Fig. 15(c)), the rate of displacement measured every 0.18 s along the same cross section reveals such high
acceleration as to validate the idea that an undrained deformation
mechanism is established as a consequence of failure. The rate of
movement calculated to account for the displacement of a soil particle (point A on the surface of the sliding mass in Fig. 15(a)) attains a maximum greater than 0.6 m / s in only 1.2 s (Fig. 15(d)). In
this phase, the movement takes on a flow style, while the material
displays a high degree of fluidity.
Slope instability is also reported by the SBS-based setup. In the
diagram shown in Fig. 16, the two dashed lines indicate the position
of the two strands of fiber embedded into the soil. The first measurement taken before the experiment serves as a reference, such
that any subsequent measurement indicates ongoing deformation.
Indeed, the second profile recorded 18 min after the beginning of
the test shows that significant changes in fiber response are localized in the fiber spoil between the two embedded regions. Since no
FIG. 10—Instrumentation adopted in the calibration test A1.
OLIVARES ET AL. ON FLUME TO INVESTIGATE LANDSLIDES
Clay
Silt
Sand
Gravel
0
Block
100
t = 0min
1
90
t = 5min
t = 10min
2
80
t = 16min
70
3
60
4
z [cm]
percent finer by weight [%]
9
50
40
t = 20min
t = 27min
t = 31min
5
30
6
20
7
t = 35min
10
8
0
0.0001
0.001
0.01
0.1
1
10
100
9
particle size [mm]
10
0.1
FIG. 11—Particle size distribution of soil used in test A1.
suction (ua-uw) [kPa]
0
failure
superficial tensiometers
(depth z=5cm)
T2
10
T7
15
deep tensiometers
(depth z=10cm)
T1
20
0.4
0.5
0.6
0.7
0.8
FIG. 13—Test A1: vertical water content profiles estimated by TDR during the
flume test.
Conclusions
An instrumented flume, designed and built at the Geotechnical
Laboratory of CIRIAM (Interdepartmental Research Centre of Environmental Engineering at the Second University of Naples), has
been successfully used to investigate the mechanics of flowslides in
cohesionless pyroclastic soils (Damiano 2004; Olivares and Picarelli 2006; Olivares and Damiano 2007). The flume is currently
being used to evaluate the performance of a TDR device and optical
fibers to recognize, respectively, the evolution of the water content
profile and any significant changes in the displacement field in unsaturated soil slopes subjected to continuous rainfall. The additional information provided by such low-cost instruments can indeed be of great help for the rapid assessment of flowslide
development as well as to further clarify the physical process leading to slope failure. Preliminary experimental results look promising in this respect.
Significant improvements in the fiber-based sensor can be
achieved by making slight modifications to the setup shown in Fig.
7. For example, the use of an electro-optic modulator and an optical
filter, instead of the acousto-optic modulator, may improve the sensor spatial resolution down to tens of centimetres (Niklès et al.
1997). Moreover, the use of erbium-doped fiber amplifiers would
allow the intensity of the interacting optical beams to be increased,
and hence improve the S/N ratio of the measurements. Note that
T3
0.7
0
L3
uz
uw [kPa]
5
1.5
x
0.6
settlement
0.5
pore pressure
u
0.4
0.3
z
P3
L3
1
failure
10
uw [kPa]
settlement uz at the ground
surface [mm]
25
0.2
35.90
tf
35.95
36.00
10
5
0
-5
-10
-15
-20
-25
-30
-35
-40
36.05
settlement uz at the
ground surface [mm]
2
(a)
tf = 35.96min
failure
time [min]
0.5
15
0
(b)
0.3
m3/m3
strain is applied in this section, this phenomenon can be attributed
to the change in temperature along this part of the fiber which is
directly exposed to rainfall (it is evident from Fig. 16, where the
Brillouin frequency decreases according to a temperature change
from about 20° C to 10° C). The profile recorded 15 min later, reveals a net Brillouin frequency increase around the position z
= 28 m of the sensing fiber, corresponding to one of the two embedded fiber strands. A smaller Brillouin frequency shift increase can
also be recognized corresponding to the first immersed fiber strand,
but it is barely visible due to noise. During the experiment the temperature of the soil was continuously monitored by means of a thermocouple and it remained almost constant. The increase in Brillouin frequency can be interpreted as a consequence of tensile
strain caused by soil displacement. Importantly, as failure occurred
5 min after the appearance of the strain peak, the sensor seems to
be able to reveal impending failure. The final measurement taken
after failure shows that the Brillouin frequency in the embedded
regions is returning to the initial value.
5
0.2
5
10
15
20
25
30
35
time [min]
P3
P4
P5
5
10
15
0
0
20
25
30
35
time [min]
FIG. 12—Test A1: (a) evolution of suction, uw − ua; (b) evolution of settlements,
uz, during infiltration.
FIG. 14—Test A1: pore pressures measured at the base of the slope.
downslope
10 GEOTECHNICAL TESTING JOURNAL
1000
1000
A’
a)
b)
c)
t = 30s
t = 0.18s
900
0.7
d)
800
0.6
600
500
400
0.1
t = 31' 30''
t = 32' 30''
t = 33' 30''
t = 34' 30''
100
A
tf = 35' 57.60''
t = 32' 00''
t = 33' 00''
t = 34' 00''
t = 35' 00''
0.0
tf
t = 35' 57.60''
t = 35' 57.96''
t = 35' 57.78''
t = 35' 58.14''
+0.5
+1.0
t [s]
+1.5
rate [mm/s]
40
30
20
10
0 .1
0
0 .0 8
0
0 .0 2
0
plan-view
0 .0 6
upslope
0.3
tf = 35' 57.60''
300
200
0
0.4
0.2
0 .0 4
A
0.5
rate [m/s]
position along x-axis [mm]
movement
700
rate [mm/s]
FIG. 15—Test A1: displacement of the ground surface in the direction of the slope: (a) plan-view; (b) displacement rate at different times along section AA⬘ during the
pre-failure stage; (c) displacement rate at different times along section AA⬘ in the post-failure stage; (d) rate of displacement measured at point A against time.
10.55
Brillouin frequency shift [GHz]
10.545
t10:56
= 0 a.m.
p.m.
t2:36
18min
t == 18min
p.m.
t2:51
33min
t = 33min
t3:01
t > tff p.m.
First strand in the soil
l=1m
Second strand in the soil
l=1m
10.54
10.535
10.53
T=10°C
10.525
10.52
10.515
5
10
15
20
25
30
Position along the fiber [m]
FIG. 16—Test A1: records taken by the SBS-based setup.
such an S/N ratio increase would also reduce the number of waveforms to be acquired and averaged for each measurement, with the
added advantage of significantly reducing the acquisition time. Finally, processing time could also be reduced by using dedicated
electronics for data processing. The combination of acquisition and
processing speed-up could allow a new updated Brillouin frequency shift profile to be available in a much shorter (tens of seconds) time.
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