SlideShare a Scribd company logo
1 of 8
1
Abstract — When testing steel fibre reinforced self-
compacting concrete (SFRSCC) on-site, it is not practical to
determine the fundamental properties of SFRSCC by means of
rheological testing. Therefore, various empirical tests have
been developed to overcome this rheological shortcoming.
These tests attempt to evaluate the workability of SFRSCC for
its successful placement. Within this paper, the focus is on
evaluating both the rheological and empirical parameters of
SFRSCC with both pulverised fly ash (PFA) and ground
granulated blast furnace slag (GGBS) for the partial
replacement of cement (CEM II/A-L). Three self-compacting
mixtures with different PFA and GGBS contents were used as
reference. Each of the concretes were tested with one type of
steel fibre at different contents. This was done to evaluate the
influence of PFA and GGBS on both the rheological and
empirical parameters of SFRSCC. In doing so, therefore, a
correlation between concrete rheology and concrete
workability could be determined. The results show that the use
of PFA and GGBS in SFRSCC caused an overall reduction in
g and an increase in h. In addition, the GGBS degraded the
passing ability of SFRSCC and the workability of SFRSCC is
retained for longer periods after the addition of water when
using 30% PFA and 50% GGBS. Both the slump flow and
slump flow t500 time showed a reasonably good correlation
with, respectively, g and h, 15 minutes after the addition of
mixing water, but a poor correlation existed between both the
empirical and rheological parameters with an increase in time
beyond 15 minutes after addition of mixing water. A good
correlation was shown to exist between the L-box blocking
ratio and the J-ring step of blocking for all the mixtures.
Keywords—Ground granulated blast furnace slag, Pulverised
fly ash, Rheology, Self-compacting concrete, Steel fibres.
I. INTRODUCTION
ELF-COMPACTING CONCRETE (SCC) is defined as a
concrete that possesses both superior flowability and a
high resistance to segregation, which must flow and fill into
all the areas in the formwork, under its own weight, and
without the need for conventional vibrating techniques.
It is well known that the use of steel fibres enhances the
structural performance of concrete, mainly improved rigidity,
resistance to impact and improved resistance to cracking.
Intuitively, these structural enhancements can be achieved in
SCC. However, fibres are known to significantly affect the
workability of concrete.
Various empirical tests have been developed to evaluate the
workability of SCC (such as Slump flow, L-box and J-ring)
concerning its ability to flow and fill into all the areas in the
formwork, while producing an adequate uniform distribution
of constituent materials. It is well known that the slump flow
test is the most widely used test for evaluating the flowability
of SCC. It is a modified version of the slump test, which
measures two parameters: horizontal flow spread and flow
time. The flow spread evaluates unconfined deformability and
the flow time evaluates the rate of deformation within a
confined flow distance.
According to Kasimmohammed (2014), the inverted slump
cone method is the preferred choice in evaluating the
workability of steel fibre reinforced concrete (SFRC) since
steel fibres transmit considerable stability to a fresh concrete
mass, while the inverted slump flow time is recommended
rather than the traditional slump value.
Grunewald and Walraven (2001) investigated the influence
of both different types of fibres and aspect ratios with various
volumetric proportions on the workability of SCC. In all the
mixtures, the authors report stated that the fibre type and fibre
content affects the workability of SCC. Furthermore, a higher
fibre aspect ratio caused a reduction in workability. The aspect
ratio describes the fibre length divided its diameter. Hossain
et al. (2012) discussed the influence of steel fibres on the
rheological properties of SCC. They stated that increasing the
fibre content increases both the plastic viscosity and yield
stress.
Newman and Choo (2003) stated that the use of PFA and
GGBS for the partial replacement of cement reduces the yield
stress, while the use of PFA and GGBS, respectively,
decreases and increases the plastic viscosity.
Tattersall and Banfill (1983) define rheology as the “science
of deformation and flow of matter”. In essence rheology is
concerned with relationships between stress, strain, rate of
strain and time. Concrete possesses a certain resistance to
flow, therefore the application of a certain force is required for
concrete to flow, and that force is known as a shear stress.
Feys et al. (2008) investigated the rheological properties of
SCC and compared their finding with the Bingham model.
The authors reported that the stress-strain relationship of SCC
The Rheological Characteristics of Steel Fibre
Reinforced Self-Compacting Concrete with PFA
and GGBS
Roy P. Belton and Roger P. West
S
2
is nonlinear and, therefore, shows shear thickening behavior,
which can be described by the Hershel-Bulkley model. The
Hershel-Bulkley model can be represented by the following
equation:
τ = τ0 + kγn (1)
where the term τ is the shear stress, τ0 is the yield stress, k is a
constant related to the consistency, γ is the imposed shear
strain rate and n is the flow index which represents shear
thickening (n>1) or shear thinning (n<1) and when n equals 1,
the model takes the form of the Bingham model.
The torque-speed relationship in a rheometer is similar to
the Hershel-Bulkley model, which can be evaluated by
integrating the function speed and torsional motion by the
geometry of the rheometer. This relationship is in the
following form:
T = T0 + ANb (2)
where the term T is the torque, A and b are parameters that
depend on the geometry of the rheometer and the concrete, N
(rev/s) is the speed and T0 (N/m) is the amount of torque
required to shear the concrete. By using equation (2) the
nonlinear relationship of torque to speed can be determined.
Fig. 1. Hershel-Bulkley torque-speed relationship.
Fig. 1 illustrates the Hershel-Bulkley relationship of torque to
speed. The Hershel–Bulkley parameters (A and b) are
determined by plotting ln (T – T0) versus ln N. The constant A
is determined by the intercept on the y-axis (ln T –T0 axis) and
b is the slope of the straight-line relationship. The rheological
parameter g is the intercept of this relationship on the torque
axis and is related to the fundamental parameter of yield
stress. The dashed black line in Fig. 1 is a linear
approximation of the fitted Hershel-Bulkley model, in which
the slope of this line h is related to the fundamental parameter
of plastic viscosity. In this paper, the rheological properties of
all the mixtures were evaluated by the rheological parameters
g and h.
II. MATERIALS AND METHODS
A. Experimental program on SFRSCC with PFA and GGBS
Three self-compacting reference mixtures were developed
with different compositions. Table 1 summarises these
different compositions.
Table 1: Mixturecomposition for all reference mixtures
Component
Series 1
(kg/m3
)
Series 2
(kg/m3
)
Series 3
(kg/m3
)
CEM II/A-L 580 406 290
Limestone filler 20 20 20
GGBS - - 290
PFA - 174 -
Fine aggregate 1020 1020 1020
Coarse aggregate 630 630 630
Superplasticiser (Glenium 27) 12.5 12.5 12.5
Stabiliser (RheoMatrix100) 7.8 7.8 7.8
Water 215.5 215.5 215.5
Initially, it was assumed that the steel fibres would reduce the
workability. Therefore, it was necessary to design a self-
compacting reference mixture with a high degree of
flowability. For this reason, both the paste and mortar content
were varied by increasing the ratio of sand to aggregate and
increasing the cement content, while the contents of water,
superplasticiser and stabilizer were adjusted by trial and error
to obtain both a high slump (700 mm) and high passing ability
(J-ring: 7.25 mm). Table 1 summarises the final mix design.
Next, to evaluate both the empirical and rheological
parameters of SFRSCC various steel volumetric proportions of
steel fibres were incorporated into each reference mix. Table 2
lists all the SFRSCC mixtures as part of this experimental
program. Three SCC and 18 steel fibre reinforced mixtures
were tested.
Table 2: Experimental program
Steel fibre type
Steel fibre content
SCC-Series 1
(R 65/35)
SCC-Series 2
(R 65/35)
SCC-Series 3
(R 65/35)
0 (kg/m3
) (REF) o o o
5 (kg/m3
) o o o
10 (kg/m3
) o o o
15 (kg/m3
) o o o
20 (kg/m3
) o o o
25 (kg/m3
) o o o
30 (kg/m3
) o o o
To verify the obtained empirical and rheological parameters,
cubes were cast for each mixture and tested at seven-day
compressive strengths. The compressive strengths for series 1
and series 2 ranged from, respectively, 64.7 – 68.1 Mpa and
33.9 – 36.8 Mpa, while series 3 ranged from 52.1 – 56.3 Mpa.
Torque(N/m)
Speed (rev/s)
Slope = h
T = To + ANb
g
Linear approximaton of
Hershel-Bulkley model
3
B. Materials
The cement used throughout this experiment was CEM
II/A-L, while also using PFA, GGBS and limestone filler
(LS). The volume ratio of both the PFA GGBS was kept
constant at, respectively, 70:30 and 50:50, and 95:05 for the
LS. Fig. 1 shows the particle size distributions of all the
powders used in this experiment.
Fig. 2. Particle size distribution of powders
A Glenium 27 superplasticiser based on chains of a modified
Polycarboxylic ether complex was used to achieve an
adequate workability. RheoMatrix 100, an aqueous solution of
a high-molecular weight synthetic copolymer was used to
modify the viscosity and cohesion of the mixtures. Ordinary
tap water was used as mixing water in all the mixtures. One
steel fibre (SF) type with hooked ends (R 65/35) were used in
all the SFRSCC mixtures. The 65 is the aspect ratio and the 35
in the fibre length in mm. Both locally available sand and
gravel were used. Crushed stone aggregates of nominal
maximum size 10 mm were used as coarse aggregates. Fig. 3
shows the particle size distributions of all the aggregates.
Fig. 3. Particle size distribution of the aggregates
C. Mix procedure
A free-fall mixer was used throughout this study. The
following mix procedure was adopted:
 Coarse aggregates and 40% water for 10 s.
 Fine aggregates and powders for 60 s.
 Superplasticiser and 50% water for 20 s.
 Stabiliser and 10% water for 20 s.
 Resting period of 600 s.
 Mixing period of 60 s.
 Steel fibres for 60 s.
D. Test methods
The quantitative empirical tests used in this experiment
were the slump flow, L-box and J-ring. The inverted slump
flow cone method was used in this experimental program.
After lifting the slump flow cone, the slump flow is the mean
horizontal flow spread and the t500 time is the time taken to
reach a flow spread of 500 mm. Both the L-box and J-ring
Fig. 4. Empirical test methods: (i) L-box (ii)Slump flowand (iii) inverted J-
ring.
were used to assess the passing ability. The concrete in the L-
box is placed in the vertical channel. Opening the gate allows
the concrete to flow through the vertical bar spacings and into
the horizontal channel, the height of concrete in both the
vertical and horizontal channel are then expressed as a ratio,
known as the passing ratio, where an acceptable passing ratio
ranges from 0.8 – 1.0. In the J-ring, the inverted cone is lifted,
the t500 time recorded, that is, the time for the concrete to reach
a 500 mm spread distance and its passing ability is assessed by
the average height of concrete at four points around the ring
minus the height at the central position and expressed in mm,
where an acceptable passing value ranges from0 – 10 mm.
The rheological tests were performed with the Tattersall Two-
point workability apparatus (TWT), in particular, the MK II
model, which involves an axial impeller with four angled
blades positioned in a helical arrangement around a central
drive shaft. The schematic diagram is shown in Fig. 5.
According to Tattersall and Banfill (1983) this helical
arrangement raises the concrete while also allowing the
concrete to fall back through the gaps, i.e., minimises the
effects of both segregation and bleeding. A cylindrical bowl
containing the concrete is supported by means of an adjustable
arm. This allows the concrete sample to be raised and
supported both during testing and following the testing
0
10
20
30
40
50
60
70
80
90
100
0.0001 0.001 0.01 0.1 1
PERCENTAGEPASSING%
PARTICLE SIZE (MM)
GGBS
CEM II/A-L
Fly-ash
LS
0
10
20
30
40
50
60
70
80
90
100
0.01 0.1 1 10 100
PERCENTAGEPASSING%
PARTICLE SIZE MM
Sand B & Coarse
aggregates
Sand B
Series 1
Series 2
Series 3
4
regime. The effective height between the top of the bowl and
the shearing surface is 75 mm. Before initiating the testing
regime, the apparatus must run for 30 minutes to allow the oils
(both hydraulic and gear) to reach their operating
temperatures, and
Fig. 5. Schematic diagram of TWT.
during the warmup period, the recommended speed is 0.7
rev/s. However, Tattersall (2003) recommended speeds of 3.0
rev/s because at a warmup speed of 0.7 rev/s the idling
pressure can change even after 80 minutes. In essence, the
torque-speed relationship for the concrete undergoing testing
is determined by reducing the speed (rev/s) from 0.7 to 0.3
rev/s at various speed intervals, while recording the resulting
pressure (lb/in2) at these intervals of speed. In doing so, the
torque intercept and slope and, therefore, the rheological
parameters g and h are determined.
The following testing regime was performed in order to
determine the influence of time on both the empirical and
rheological parameters, that is, an increase in time after the
addition of both mixing water and cementitious materials.
Table 3: Testingregimefortime evolutionof empiricalandrheological
parameters.
Sequence
Regime-1 (15
min after
addition of
water)
Regime-2 (30 -
65 min after
addition of
water)
Regime-3 (65 -
95 min after
addition of
water)
1 TWT TWT TWT
2 Slump flow Slump flow Slump flow
3 L-box L-box L-box
4 J-ring J-ring J-ring
First, the rheological parameters g and h were determined with
the TWT apparatus, then followed by the empirical tests, i.e.,
Slump flow, L-box and J-ring. This was carried three times at
different times after the addition of mixing water. Table 3 lists
the three testing regimes and sequence of tests.
Immediately after each test (i.e. TWT, Slump flow, L-box,
J-ring) for all the mixtures, the concrete was remixed in the
mixer with the remaining concrete for approximately 15 – 20
s, in order to try and eliminate the effects of segregation cause
by the MK II apparatus and to promote an even distribution of
fibres throughout all the mixture undergoing testing.
III. RESULTS AND DISCUSSION
A. Effect of SF, PFA and GGBS on rheology
Rheological testing was performed on all the mixtures, 15
min after the addition of mixing water. In considering all the
possible functional relationships for all the mixtures, the
polynomial function seems to produce the best fit correlation
between torque and speed. The slopes of these relationships
and, therefore, the h parameters were determined by a linear
approximation of the fitted Hershel-Bulkley model.
Fig. 9. FittedHershel-Bulkleymodels for SCC-1 toSCC-7, 15 min after the
addition of water.
As the torque-speed relationships for all the mixtures showed
nonlinear behavior, the Hershel-Bulkley model was used to
represent these relationships. Fig. 9 – Fig. 11 illustrates these
fitted Hershel-Bulkley relationships for all the mixtures
corresponding to a TWT carried out 15 min after the addition
of water. In Fig. 9 – Fig. 11, SCC-1 to SCC-7 represents
series-1 with 0kg/m3 – 30kg/m3 of SF, SCC-8 to SCC-14
represents series-2 with 0kg/m3 – 30kg/m3 of SF and SCC-15
to SCC-21 represents series-3 with 0kg/m3 – 30kg/m3,
respectively.
Fig. 10. FittedHershel-Bulkleymodels for SCC-8 to SCC-14, 15 min after
the addition of water.
0
1
2
3
4
5
6
7
8
9
10
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3
Torque(N/m)
Speed (rev/s)
SCC-1, 15 min
SCC-2, 15 min
SCC-3, 15 min
SCC-4, 15 min
SCC-5, 15 min
SCC-6, 15 min
SCC-7, 15 min
Series 1 (CEM II/A-L)
0 kg/m3 SF
5 kg/m3 SF
10 kg/m3 SF
15 kg/m3 SF
20 kg/m3 SF
25 kg/m3 SF
30 kg/m3 SF
0
1
2
3
4
5
6
7
8
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3
Torque(N/m)
Speed (rev/s)
SCC-8, 15 min
SCC-9, 15 min
SCC-10, 15 min
SCC-11, 15 min
SCC-12, 15 min
SCC-13, 15 min
SCC-14, 15 min
Series 2 (PFA)
0 kg/m3 SF
5 kg/m3 SF
10 kg/m3 SF
15 kg/m3 SF
20 kg/m3 SF
25 kg/m3 SF
30 kg/m3 SF
TWT bowl
Vane arrangement
Speed gauge
Pressure gauge
Rack and pinion
5
Fig. 11. FittedHershel-Bulkleymodels for SCC-15 toSCC-21, 15 min after
the addition of water.
From Fig. 9 – Fig. 11, it may be observed that the rheological
parameters g and h are increasing with an increase in steel
fibre content. The variation of g and h with steel fibre content
is presented in Fig. 12 and Fig. 13. The x-axis in both Fig. 12
and Fig. 13 represents the steel fibre content, i.e., 0kg/m3 –
30kg/m3.
Fig. 12. Effect of PFA and GGBS on the rheological parameter g, 15 min
after the addition of mixing water.
Fig. 13. Effect of PFA and GGBS on the rheological parameter h, 15 min
after the addition of mixing water.
It may be observed that, in both cases, the rheological
parameters g and h increase with an increase in steel fibre
content. In addition, the parameter g decreases when using
PFA and GGBS CEM II/A-L cement replacements in
SFRSCC. However, the parameter g is somewhat constant for
both the SFRSCC and the SFRSCC with 50% GGBS CEM
II/A-L replacement at SF contents ranging from 0 – 15kg/m3.
In Fig. 13, it may be observed that the parameter h increases
when using 30% PFA and 50% GGBS CEM II/A-L
replacements in SFRSCC.
Fig. 14 – Fig. 16 illustrates the variation of g and h with
increasing steel fibre contents for SCC-1 to SCC-21. In
addition, the obtained correlation coefficients for SCC-1 to
SCC-21, 15 min after the addition of water are illustrated. As
shown in Fig. 14, a second order polynomial function seems to
yield the best-fit correlation between the rheological
parameters g and h, with a best-fit correlation, R2, of 0.855. It
is the author’s opinion that the obtained rheological
parameters (g and h) associated with SCC-7 are most likely
underestimated, because during testing a significant degree of
segregation was encountered. Nevertheless, the results for
SCC-7 were included in this analysis.
Fig. 14. Variation of g and h with increasing steel fibre (SF) contents for
SCC-1 to SCC-7, 15 min after the addition of water.
Fig. 15. Variation of g and h with increasing steel fibre (SF) contents for
SCC-8 to SCC-14, 15 min after the addition of water.
From Fig. 14 – Fig. 15, it may be observed that an exponential
function seems to yield the best fit correlation between g and h
for SCC-8 to SCC-13, and SCC-15 to SCC-20 with best fit
correlations of, respectively, 0.841 and 0.708. Also, the
torque-speed relationships and, hence, the obtained parameters
g and h for SCC-14 and SCC-21 were not included in this
0
2
4
6
8
10
12
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3
Torque(N/m)
Speed (rev/s)
SCC-15, 15 min
SCC-16, 15 min
SCC-17, 15 min
SCC-18, 15 min
SCC-19, 15 min
SCC-20, 15 min
SCC-21, 15 min
Series 3 (GGBS)
0 kg/m3 SF
5 kg/m3 SF
10 kg/m3 SF
15 kg/m3 SF
20 kg/m3 SF
25 kg/m3 SF
30 kg/m3 SF
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
0 5 10 15 20 25 30
Rheologicalparameter,g
Steel fibre content (kg/m3)
SFRSCC
SFRSCC with PFA
SFRSCC with GGBS
0
1
2
3
4
5
6
7
0 5 10 15 20 25 30
Rheologicalparameter,h
Steel fibre content (kg/m3)
SFRSCC
SFRSCC with PFA
SFRSCC with GGBS
20 kg/m3 SF
0 kg/m3 SF
5 kg/m3 SF
10 kg/m3 SF
15 kg/m3 SF
25 kg/m3 SF
30 kg/m3 SF
h = 1.939g2 - 2.764g+ 3.601
R² = 0.855
0
1
2
3
4
5
6
7
8
0 0.4 0.8 1.2 1.6 2 2.4
Rheologicalparameter,h
Rheological parameter, g
Series1 (CEM II/A-L)
0 kg/m3 SF
5 kg/m3 SF
10 kg/m3 SF
15 kg/m3 SF
20 kg/m3 SF
25 kg/m3 SF
30 kg/m3 SF
h = 2.923e0.386g
R² = 0.841
3
3.2
3.4
3.6
3.8
4
4.2
4.4
4.6
4.8
0.4 0.6 0.8 1 1.2 1.4
Rheologicalparameter,h
Rheological parameter, g
Series2 (PFA)
6
analysis, as the obtained torque-speed relationship for these
data points possessed a significant degree of nonlinearity,
which is an indication of segregation. Furthermore, during
rheological testing a high degree of segregation was
encountered (i.e., there was a significant amount of coarse
aggregates and steel fibres stuck to the bottom of the mixing
bowl) in SCC-14 and SCC-21, 15 min after the addition of
water.
Fig. 16. Variation of g and h with increasing steel fibre (SF) contents for
SCC-15 to SCC-21, 15 min after the addition of water.
B. Empirical and rheological parameters for SFRSCC
The relationship between the J-ring step of blocking and L-
box blocking ratio for all the mixtures (i.e. 15 to 95 min after
the addition of water) is presented in Fig. 17. From Fig. 17, it
may be observed that a linear relationship exists between these
empirical values with a correlation coefficient (R2) of 0.83 and
a coefficient of variation of -2.13, which suggests that the J-
ring step of blocking is inversely related to the L-boxblocking
ratio. Therefore, as the J-ring step of blocking (mm) decreases,
L-box ratio increases. The following empirical relation may be
obtained by least square regression:
LB = 1.09-0.029(JR) (3)
where JR is the J-ring step of blocking in mm and LB is the L-
box blocking ratio.
Fig. 17. Variation ofJ-ring step of blocking with L-box blocking ratio for
SCC-1 to SCC-21, 15 to 95 min after the addition of water.
The variation of slump flow and slump flow t500 time with,
respectively, g and h is presented in Fig. 18 and Fig. 19. From
Fig. 18, it may be observed that a poor relationship exists
between slump flow and g, 15 to 95 min after the addition of
water with a correlation coefficient (R2) of 0.22 and a
coefficient of variation (CV) of -9.98. From Fig. 19, it shows a
correlation coefficient of 0.3 and a coefficient of variation of -
1.0 between slump flow t500 time and h for all the mixtures
tested at 15 to 95 min after the addition of water.
Fig. 18. Variation ofSlump flowwith gfor SCC-1 to SCC-21, 15 to 95 min
after the addition of water.
Fig. 19. Variation ofSlump flowt500 time with h for SCC-1 to SCC-21,15 to
95 min after the addition of water.
The variation of J-ring step of blocking with blocking ratio, 15
min after the addition of water is presented in Fig. 20. It may
be observed that there exists a linear relationship between
these empirical parameters with a correlation coefficient (R2)
of 0.9. In addition, the obtained coefficient of variation (CV)
is -1.043, which suggests that the J-ring step of blocking is
inversely related to the L-box blocking ratio. Therefore, as the
J-ring step of blocking (mm) decreases, L-box ratio increases.
The following empirical relation may be obtained by least
square regression:
LB = 1.098-0.027(JR) (4)
0 kg/m3 SF
5 kg/m3 SF
10 kg/m3 SF
15 kg/m3 SF
20 kg/m3 SF
25 kg/m3 SF
30 kg/m3 SF
h = 4.362e0.272g
R² = 0.708
4
4.5
5
5.5
6
6.5
7
0.6 0.8 1 1.2 1.4
Rheologicalparameter,h
Rheological parameter, g
Series3 (GGBS)
LB = -0.029JR+ 1.09
R² = 0.83
0
0.2
0.4
0.6
0.8
1
1.2
0 20 40 60 80
L-boxblockingratio(H2/H1)
J-ring, step of blocking(mm)
SCC-1 to SCC-21, 15 min
SCC-1 to SCC-21, 30 - 65 min
SCC-1 to SCC-21, 60 - 95 min
SCC-7, 95 min
CV = -2.13
SF= -35.47g + 734.7
R² = 0.22
500
550
600
650
700
750
800
0 1 2 3 4
Slumpflowspread(mm)
Rheological parameter, g
SCC-1 to SCC-20, 15 min
SCC-1 to SCC-20, 30 - 65 min
SCC-1 to SCC-20, 60 - 95 min
CV = -9.98
SF, t500 = 0.614h + 0.837
R² = 0.30
0
2
4
6
8
10
12
0 2 4 6 8 10
Slumpflow,t500time(sec)
Rheological parameter, h
SCC-1 to SCC-20, 15 min
SCC-1 to SCC-20, 30 - 65 min
SCC-1 to SCC-20, 60 - 95 min
CV = 1.0
7
where JR is the J-ring step of blocking in mm and LB is the L-
box blocking ratio.
Fig. 20. Variation ofL-boxwithJ-ringforSCC-1 to SCC-21, 15minafterthe
addition of water.
The variation of slump flow and slump t500 time with,
respectively, g and h is presented in Fig. 21 and Fig. 22. It
may also be observed from Fig. 21 that there exists a linear
relationship between slump flow and g with an obtained
correlation coefficient (R2) of 0.8 and a coefficient of variation
(CV) of -4.57, which suggests that g is inversely related to
slump flow.
Fig. 21. Variation ofSlump flowwith rheological parameter g for SCC-1 to
SCC-21, 15 min after the addition of water.
As the rheological parameter g decreases, slump flow
increases. In addition, the obtained parameters g and h for
SCC-7 and SCC-21 were not included in this analysis, as a
significant amount of coarse aggregates and steel fibres had
settled to the bottom of the TWT bowl. The following
empirical relation may be obtained by least square regression:
SF = 730.9-43(g) (5)
where SF is the slump flow in mm and g is the rheological
parameter in N/mm, which is related to yield stress.
It may be observed from Fig. 22 that there also exists a
relationship between slump flow t500 time and h with a
correlation coefficient of 0.835 and a coefficient of variation
of 0.72, which suggests that the slump flow t500 time is
positively related to the rheological parameter h. Therefore,
the following empirical relationship may be obtained by least
square regression:
h = 1.63(t500)-0.68 (6)
where h is the slope of the torque-speed relationship (i.e., the
slope of the linear approximation of the Hershel-Bulkley
model, which is related to plastic viscosity and t500 is the
slump flow t500 time in seconds.
Fig. 22. Variation ofSlump flowt500 time with h for SCC-1 to SCC-21, 15
min after the addition of water.
IV. CONCLUSIONS
Based on the results presented in this paper, the following
conclusion can be drawn:
 There is a good correlation between the J-ring step
of blocking and L-box blocking ratio for all the
mixtures at testing times corresponding to 15 to 95
min after the addition of both mixing water and
cementitious materials. J-ring step of blocking
decreases linearly as L-box blocking increases.
 A good correlation between inverted slump flow
and g for all the mixtures, 15 min after the addition
of both mixing water and cementitious materials.
Also, the parameter g decreases as inverted slump
flow increases.
 A good correlation between inverted slump flow t500
time and h, 15 min after the addition of water and
cementitious materials. In addition, the parameter h
increases as inverted slump flow t500 time increases.
 There is a poor correlation between g and inverted
slump flow, h and inverted slump flow t500 time, 15
to 95 min after the addition of water and
cementitious materials.
 The rheological parameters g and h increased with
an increase in steel fibres content. In addition, there
SCC-1
SCC-2
SCC-3
SCC-4
SCC-5
SCC-6
SCC-7
SCC-8
SCC-9
SCC-10
SCC-11
SCC-12
SCC-13
SCC-14
SCC-15
SCC-16
SCC-17
SCC-18SCC-19
SCC-20
SCC-21
LB = -0.0272JR + 1.098
R² = 0.9
0
0.2
0.4
0.6
0.8
1
1.2
0 5 10 15 20 25 30 35 40
L-boxblockingratio(H2/H1)
J-ring, step of blocking(mm)
CV = -1.043
SCC-1
SCC-2
SCC-3
SCC-4
SCC-5
SCC-6
SCC-7
SCC-8
SCC-10
SCC-9
SCC-11
SCC-12
SCC-13
SCC-15
SCC-16
SCC-17
SCC-18
SCC-20
SCC-19
SCC-14
SCC-21
SF= -43g + 730.9
R² = 0.8
640
650
660
670
680
690
700
710
720
730
0.00 0.50 1.00 1.50 2.00 2.50
Slump-flowspreadvalue(mm)
Rheological parameter, g
CV = -4.57
SCC-1 SCC-2
SCC-3
SCC-4
SCC-5
SCC-6
SCC-7
SCC-8
SCC-9
SCC-10
SCC-12
SCC-11
SCC-13
SCC-15
SCC-16
SCC-17
SCC-18
SCC-19SCC-20
SCC-14
SCC-21
h = 1.63t500 - 0.68
R² = 0.835
0
1
2
3
4
5
6
7
8
9
0 1 2 3 4 5 6
Rheologicalparameter,h
Slump-flow, t500 time (sec)
CV = 0.72
8
is a good correlation between the relative parameters
g and h with increasing steel fibre contents.
 Using 30% PFA and 50% GGBS CEM II/A-L
cement replacements reduced the parameter g, while
causing an increase in h.
 The workability of SFRSCC is retained for longer
periods when using 30% PFA and 50% GGBS CEM
II/A-L cement replacements.
V. REFERENCES
[1] Kasimmohammed, A. (2014). Flexural and shear
performance of high dosage steel fibre reinforced
concrete in suspended slabs.
[2] Grünewald, S., and Walraven, J. C. (2001). Parameter-
study on the influence of steel fibres and coarse
aggregate content on the fresh properties of self-
compacting concrete. Cement and Concrete
Research, 31(12), 1793-1798.
[3] Hossain, K. M. A., Lachemi, M., Sammour, M., and
Sonebi, M. (2012). Influence of Polyvinyl Alcohol, Steel,
and Hybrid Fibres on Fresh and Rheological Properties of
Self-Consolidating Concrete. Journal of Materials in
Civil Engineering, 24(9), 1211-1220.
[4] Newman, J., and Choo, B. S. (Eds.). (2003). Advanced
concrete technology set. Butterworth-Heinemann.
[5] Tattersall, G. H., and Banfill, P. F. G. (1983). The
rheology of fresh concrete (No. Monograph). Pitman
Advanced Pub. Program.
[6] Feys, D., Verhoeven, R., and De Schutter, G. (2008).
Fresh self-compacting concrete, a shear thickening
material. Cement and Concrete Research, 38(7), 920-
929.
[7] De Schutter, G., Gibbs, J., Domone, P., and Bartos, P. J.
(2008). Self-compacting concrete. Whittles Publishing.
[8] Tattersall, G. H. (2003). Workability and quality control
of concrete. Taylor & Francis.

More Related Content

What's hot

Study the effect of addition of wast plastic on compressive and tensile
Study the effect of addition of wast plastic on compressive and tensileStudy the effect of addition of wast plastic on compressive and tensile
Study the effect of addition of wast plastic on compressive and tensileIAEME Publication
 
final 1211 Suzuki 1109 final 4484 CR658-1
final 1211 Suzuki 1109 final 4484 CR658-1final 1211 Suzuki 1109 final 4484 CR658-1
final 1211 Suzuki 1109 final 4484 CR658-1racripe
 
Structural strength enhancement of rigid pavement using scrap
Structural strength enhancement of rigid pavement using scrapStructural strength enhancement of rigid pavement using scrap
Structural strength enhancement of rigid pavement using scrapKaustubh Sasane
 
HVOF Sprayed WC-Cocr Coating on Mild Steel: Microstructure and Wear Evaluation
HVOF Sprayed WC-Cocr Coating on Mild Steel: Microstructure and Wear EvaluationHVOF Sprayed WC-Cocr Coating on Mild Steel: Microstructure and Wear Evaluation
HVOF Sprayed WC-Cocr Coating on Mild Steel: Microstructure and Wear Evaluationiosrjce
 
Abhishek sagar 121vc00235
Abhishek sagar 121vc00235Abhishek sagar 121vc00235
Abhishek sagar 121vc00235Abhishek sagar
 
Effects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
Effects of Water- Cement Ratio on Workability of Bagasse Ash ConcreteEffects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
Effects of Water- Cement Ratio on Workability of Bagasse Ash Concretepaperpublications3
 
Soil nail wall failure
Soil nail wall failureSoil nail wall failure
Soil nail wall failureSadafQasim3
 
Mix design and mechanical properties of self compacting light weight concrete
Mix design and mechanical properties of self compacting light weight concreteMix design and mechanical properties of self compacting light weight concrete
Mix design and mechanical properties of self compacting light weight concreteYahaya Hassan Labaran
 
Retaining wall failures
Retaining wall failuresRetaining wall failures
Retaining wall failuresSadafQasim3
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)irjes
 
An Analysis of Mechanical Properties and Flexural Behavior of Concrete Slabs ...
An Analysis of Mechanical Properties and Flexural Behavior of Concrete Slabs ...An Analysis of Mechanical Properties and Flexural Behavior of Concrete Slabs ...
An Analysis of Mechanical Properties and Flexural Behavior of Concrete Slabs ...YogeshIJTSRD
 
Effect of prism height on strength of reinforced hollow concrete block masonry
Effect of prism height on strength of reinforced hollow concrete block masonryEffect of prism height on strength of reinforced hollow concrete block masonry
Effect of prism height on strength of reinforced hollow concrete block masonryeSAT Publishing House
 

What's hot (19)

Ppr2016.0440md
Ppr2016.0440mdPpr2016.0440md
Ppr2016.0440md
 
Study the effect of addition of wast plastic on compressive and tensile
Study the effect of addition of wast plastic on compressive and tensileStudy the effect of addition of wast plastic on compressive and tensile
Study the effect of addition of wast plastic on compressive and tensile
 
final 1211 Suzuki 1109 final 4484 CR658-1
final 1211 Suzuki 1109 final 4484 CR658-1final 1211 Suzuki 1109 final 4484 CR658-1
final 1211 Suzuki 1109 final 4484 CR658-1
 
Structural strength enhancement of rigid pavement using scrap
Structural strength enhancement of rigid pavement using scrapStructural strength enhancement of rigid pavement using scrap
Structural strength enhancement of rigid pavement using scrap
 
Marshaltest
MarshaltestMarshaltest
Marshaltest
 
HVOF Sprayed WC-Cocr Coating on Mild Steel: Microstructure and Wear Evaluation
HVOF Sprayed WC-Cocr Coating on Mild Steel: Microstructure and Wear EvaluationHVOF Sprayed WC-Cocr Coating on Mild Steel: Microstructure and Wear Evaluation
HVOF Sprayed WC-Cocr Coating on Mild Steel: Microstructure and Wear Evaluation
 
Hmt mix design
Hmt mix designHmt mix design
Hmt mix design
 
Abhishek sagar 121vc00235
Abhishek sagar 121vc00235Abhishek sagar 121vc00235
Abhishek sagar 121vc00235
 
Effects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
Effects of Water- Cement Ratio on Workability of Bagasse Ash ConcreteEffects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
Effects of Water- Cement Ratio on Workability of Bagasse Ash Concrete
 
Soil nail wall failure
Soil nail wall failureSoil nail wall failure
Soil nail wall failure
 
Mix design and mechanical properties of self compacting light weight concrete
Mix design and mechanical properties of self compacting light weight concreteMix design and mechanical properties of self compacting light weight concrete
Mix design and mechanical properties of self compacting light weight concrete
 
2002 rahim
2002 rahim2002 rahim
2002 rahim
 
F013114350
F013114350F013114350
F013114350
 
A1303050107
A1303050107A1303050107
A1303050107
 
20320130405016
2032013040501620320130405016
20320130405016
 
Retaining wall failures
Retaining wall failuresRetaining wall failures
Retaining wall failures
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)
 
An Analysis of Mechanical Properties and Flexural Behavior of Concrete Slabs ...
An Analysis of Mechanical Properties and Flexural Behavior of Concrete Slabs ...An Analysis of Mechanical Properties and Flexural Behavior of Concrete Slabs ...
An Analysis of Mechanical Properties and Flexural Behavior of Concrete Slabs ...
 
Effect of prism height on strength of reinforced hollow concrete block masonry
Effect of prism height on strength of reinforced hollow concrete block masonryEffect of prism height on strength of reinforced hollow concrete block masonry
Effect of prism height on strength of reinforced hollow concrete block masonry
 

Similar to Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Reinforced Self-Compacting Concrete with GGBS and PFA

Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Rein...
Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Rein...Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Rein...
Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Rein...Roy Belton
 
Compressive strength-evaluation-of-structural-lightweight-concrete-by-non-des...
Compressive strength-evaluation-of-structural-lightweight-concrete-by-non-des...Compressive strength-evaluation-of-structural-lightweight-concrete-by-non-des...
Compressive strength-evaluation-of-structural-lightweight-concrete-by-non-des...Joshep Palacios
 
Self-compacting Concrete Study using Recycled Asphalt Pavement Incorporating ...
Self-compacting Concrete Study using Recycled Asphalt Pavement Incorporating ...Self-compacting Concrete Study using Recycled Asphalt Pavement Incorporating ...
Self-compacting Concrete Study using Recycled Asphalt Pavement Incorporating ...IJCMESJOURNAL
 
A Proposed Equation for Elastic Modulus of High-Strength Concrete Using Local...
A Proposed Equation for Elastic Modulus of High-Strength Concrete Using Local...A Proposed Equation for Elastic Modulus of High-Strength Concrete Using Local...
A Proposed Equation for Elastic Modulus of High-Strength Concrete Using Local...IJERA Editor
 
Experimental behavior of circular hsscfrc filled steel tubular columns under ...
Experimental behavior of circular hsscfrc filled steel tubular columns under ...Experimental behavior of circular hsscfrc filled steel tubular columns under ...
Experimental behavior of circular hsscfrc filled steel tubular columns under ...eSAT Journals
 
Experimental behavior of circular hsscfrc filled steel tubular columns under ...
Experimental behavior of circular hsscfrc filled steel tubular columns under ...Experimental behavior of circular hsscfrc filled steel tubular columns under ...
Experimental behavior of circular hsscfrc filled steel tubular columns under ...eSAT Journals
 
Experimental behavior of circular hsscfrc filled steel
Experimental behavior of circular hsscfrc filled steelExperimental behavior of circular hsscfrc filled steel
Experimental behavior of circular hsscfrc filled steeleSAT Publishing House
 
Flexural behaviour of reinforced concrete slabs using steel slag as coarse ag...
Flexural behaviour of reinforced concrete slabs using steel slag as coarse ag...Flexural behaviour of reinforced concrete slabs using steel slag as coarse ag...
Flexural behaviour of reinforced concrete slabs using steel slag as coarse ag...eSAT Publishing House
 
Investigation on pulse velocity changes in RCC with different cement content ...
Investigation on pulse velocity changes in RCC with different cement content ...Investigation on pulse velocity changes in RCC with different cement content ...
Investigation on pulse velocity changes in RCC with different cement content ...Hamidreza Araghian
 
IRJET-Study on the Mechanical Properties of Concrete by Replacement of Coal B...
IRJET-Study on the Mechanical Properties of Concrete by Replacement of Coal B...IRJET-Study on the Mechanical Properties of Concrete by Replacement of Coal B...
IRJET-Study on the Mechanical Properties of Concrete by Replacement of Coal B...IRJET Journal
 
MAJOR PROJECT PPT KD.pptx
MAJOR PROJECT PPT KD.pptxMAJOR PROJECT PPT KD.pptx
MAJOR PROJECT PPT KD.pptxjmjoshi
 
Cracking tendency of alkali-activated slag concrete
Cracking tendency of alkali-activated slag concreteCracking tendency of alkali-activated slag concrete
Cracking tendency of alkali-activated slag concretefrank collins
 

Similar to Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Reinforced Self-Compacting Concrete with GGBS and PFA (20)

Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Rein...
Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Rein...Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Rein...
Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Rein...
 
Bendable concrete
Bendable concreteBendable concrete
Bendable concrete
 
Shear Behavior of Lightweight Fiber Reinforced Concrete Beams
Shear Behavior of Lightweight Fiber Reinforced Concrete BeamsShear Behavior of Lightweight Fiber Reinforced Concrete Beams
Shear Behavior of Lightweight Fiber Reinforced Concrete Beams
 
main ppt.pptx
main ppt.pptxmain ppt.pptx
main ppt.pptx
 
Compressive strength-evaluation-of-structural-lightweight-concrete-by-non-des...
Compressive strength-evaluation-of-structural-lightweight-concrete-by-non-des...Compressive strength-evaluation-of-structural-lightweight-concrete-by-non-des...
Compressive strength-evaluation-of-structural-lightweight-concrete-by-non-des...
 
H04401056059
H04401056059H04401056059
H04401056059
 
Self-compacting Concrete Study using Recycled Asphalt Pavement Incorporating ...
Self-compacting Concrete Study using Recycled Asphalt Pavement Incorporating ...Self-compacting Concrete Study using Recycled Asphalt Pavement Incorporating ...
Self-compacting Concrete Study using Recycled Asphalt Pavement Incorporating ...
 
A Proposed Equation for Elastic Modulus of High-Strength Concrete Using Local...
A Proposed Equation for Elastic Modulus of High-Strength Concrete Using Local...A Proposed Equation for Elastic Modulus of High-Strength Concrete Using Local...
A Proposed Equation for Elastic Modulus of High-Strength Concrete Using Local...
 
UltrafineAASC
UltrafineAASCUltrafineAASC
UltrafineAASC
 
Experimental behavior of circular hsscfrc filled steel tubular columns under ...
Experimental behavior of circular hsscfrc filled steel tubular columns under ...Experimental behavior of circular hsscfrc filled steel tubular columns under ...
Experimental behavior of circular hsscfrc filled steel tubular columns under ...
 
Experimental behavior of circular hsscfrc filled steel tubular columns under ...
Experimental behavior of circular hsscfrc filled steel tubular columns under ...Experimental behavior of circular hsscfrc filled steel tubular columns under ...
Experimental behavior of circular hsscfrc filled steel tubular columns under ...
 
Experimental behavior of circular hsscfrc filled steel
Experimental behavior of circular hsscfrc filled steelExperimental behavior of circular hsscfrc filled steel
Experimental behavior of circular hsscfrc filled steel
 
Flexural behaviour of reinforced concrete slabs using steel slag as coarse ag...
Flexural behaviour of reinforced concrete slabs using steel slag as coarse ag...Flexural behaviour of reinforced concrete slabs using steel slag as coarse ag...
Flexural behaviour of reinforced concrete slabs using steel slag as coarse ag...
 
CREEP OF CONCRETE
CREEP OF CONCRETECREEP OF CONCRETE
CREEP OF CONCRETE
 
Investigation on pulse velocity changes in RCC with different cement content ...
Investigation on pulse velocity changes in RCC with different cement content ...Investigation on pulse velocity changes in RCC with different cement content ...
Investigation on pulse velocity changes in RCC with different cement content ...
 
IRJET-Study on the Mechanical Properties of Concrete by Replacement of Coal B...
IRJET-Study on the Mechanical Properties of Concrete by Replacement of Coal B...IRJET-Study on the Mechanical Properties of Concrete by Replacement of Coal B...
IRJET-Study on the Mechanical Properties of Concrete by Replacement of Coal B...
 
Q04504101113
Q04504101113Q04504101113
Q04504101113
 
125979686.pdf
125979686.pdf125979686.pdf
125979686.pdf
 
MAJOR PROJECT PPT KD.pptx
MAJOR PROJECT PPT KD.pptxMAJOR PROJECT PPT KD.pptx
MAJOR PROJECT PPT KD.pptx
 
Cracking tendency of alkali-activated slag concrete
Cracking tendency of alkali-activated slag concreteCracking tendency of alkali-activated slag concrete
Cracking tendency of alkali-activated slag concrete
 

Recently uploaded

Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSCAESB
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝soniya singh
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
Introduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptxIntroduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptxvipinkmenon1
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2RajaP95
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxpurnimasatapathy1234
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLCurrent Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLDeelipZope
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 

Recently uploaded (20)

Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
Introduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptxIntroduction to Microprocesso programming and interfacing.pptx
Introduction to Microprocesso programming and interfacing.pptx
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
Current Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCLCurrent Transformer Drawing and GTP for MSETCL
Current Transformer Drawing and GTP for MSETCL
 
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 

Roy Belton: The Rheological and Empirical Characteristics of Steel Fibre Reinforced Self-Compacting Concrete with GGBS and PFA

  • 1. 1 Abstract — When testing steel fibre reinforced self- compacting concrete (SFRSCC) on-site, it is not practical to determine the fundamental properties of SFRSCC by means of rheological testing. Therefore, various empirical tests have been developed to overcome this rheological shortcoming. These tests attempt to evaluate the workability of SFRSCC for its successful placement. Within this paper, the focus is on evaluating both the rheological and empirical parameters of SFRSCC with both pulverised fly ash (PFA) and ground granulated blast furnace slag (GGBS) for the partial replacement of cement (CEM II/A-L). Three self-compacting mixtures with different PFA and GGBS contents were used as reference. Each of the concretes were tested with one type of steel fibre at different contents. This was done to evaluate the influence of PFA and GGBS on both the rheological and empirical parameters of SFRSCC. In doing so, therefore, a correlation between concrete rheology and concrete workability could be determined. The results show that the use of PFA and GGBS in SFRSCC caused an overall reduction in g and an increase in h. In addition, the GGBS degraded the passing ability of SFRSCC and the workability of SFRSCC is retained for longer periods after the addition of water when using 30% PFA and 50% GGBS. Both the slump flow and slump flow t500 time showed a reasonably good correlation with, respectively, g and h, 15 minutes after the addition of mixing water, but a poor correlation existed between both the empirical and rheological parameters with an increase in time beyond 15 minutes after addition of mixing water. A good correlation was shown to exist between the L-box blocking ratio and the J-ring step of blocking for all the mixtures. Keywords—Ground granulated blast furnace slag, Pulverised fly ash, Rheology, Self-compacting concrete, Steel fibres. I. INTRODUCTION ELF-COMPACTING CONCRETE (SCC) is defined as a concrete that possesses both superior flowability and a high resistance to segregation, which must flow and fill into all the areas in the formwork, under its own weight, and without the need for conventional vibrating techniques. It is well known that the use of steel fibres enhances the structural performance of concrete, mainly improved rigidity, resistance to impact and improved resistance to cracking. Intuitively, these structural enhancements can be achieved in SCC. However, fibres are known to significantly affect the workability of concrete. Various empirical tests have been developed to evaluate the workability of SCC (such as Slump flow, L-box and J-ring) concerning its ability to flow and fill into all the areas in the formwork, while producing an adequate uniform distribution of constituent materials. It is well known that the slump flow test is the most widely used test for evaluating the flowability of SCC. It is a modified version of the slump test, which measures two parameters: horizontal flow spread and flow time. The flow spread evaluates unconfined deformability and the flow time evaluates the rate of deformation within a confined flow distance. According to Kasimmohammed (2014), the inverted slump cone method is the preferred choice in evaluating the workability of steel fibre reinforced concrete (SFRC) since steel fibres transmit considerable stability to a fresh concrete mass, while the inverted slump flow time is recommended rather than the traditional slump value. Grunewald and Walraven (2001) investigated the influence of both different types of fibres and aspect ratios with various volumetric proportions on the workability of SCC. In all the mixtures, the authors report stated that the fibre type and fibre content affects the workability of SCC. Furthermore, a higher fibre aspect ratio caused a reduction in workability. The aspect ratio describes the fibre length divided its diameter. Hossain et al. (2012) discussed the influence of steel fibres on the rheological properties of SCC. They stated that increasing the fibre content increases both the plastic viscosity and yield stress. Newman and Choo (2003) stated that the use of PFA and GGBS for the partial replacement of cement reduces the yield stress, while the use of PFA and GGBS, respectively, decreases and increases the plastic viscosity. Tattersall and Banfill (1983) define rheology as the “science of deformation and flow of matter”. In essence rheology is concerned with relationships between stress, strain, rate of strain and time. Concrete possesses a certain resistance to flow, therefore the application of a certain force is required for concrete to flow, and that force is known as a shear stress. Feys et al. (2008) investigated the rheological properties of SCC and compared their finding with the Bingham model. The authors reported that the stress-strain relationship of SCC The Rheological Characteristics of Steel Fibre Reinforced Self-Compacting Concrete with PFA and GGBS Roy P. Belton and Roger P. West S
  • 2. 2 is nonlinear and, therefore, shows shear thickening behavior, which can be described by the Hershel-Bulkley model. The Hershel-Bulkley model can be represented by the following equation: τ = τ0 + kγn (1) where the term τ is the shear stress, τ0 is the yield stress, k is a constant related to the consistency, γ is the imposed shear strain rate and n is the flow index which represents shear thickening (n>1) or shear thinning (n<1) and when n equals 1, the model takes the form of the Bingham model. The torque-speed relationship in a rheometer is similar to the Hershel-Bulkley model, which can be evaluated by integrating the function speed and torsional motion by the geometry of the rheometer. This relationship is in the following form: T = T0 + ANb (2) where the term T is the torque, A and b are parameters that depend on the geometry of the rheometer and the concrete, N (rev/s) is the speed and T0 (N/m) is the amount of torque required to shear the concrete. By using equation (2) the nonlinear relationship of torque to speed can be determined. Fig. 1. Hershel-Bulkley torque-speed relationship. Fig. 1 illustrates the Hershel-Bulkley relationship of torque to speed. The Hershel–Bulkley parameters (A and b) are determined by plotting ln (T – T0) versus ln N. The constant A is determined by the intercept on the y-axis (ln T –T0 axis) and b is the slope of the straight-line relationship. The rheological parameter g is the intercept of this relationship on the torque axis and is related to the fundamental parameter of yield stress. The dashed black line in Fig. 1 is a linear approximation of the fitted Hershel-Bulkley model, in which the slope of this line h is related to the fundamental parameter of plastic viscosity. In this paper, the rheological properties of all the mixtures were evaluated by the rheological parameters g and h. II. MATERIALS AND METHODS A. Experimental program on SFRSCC with PFA and GGBS Three self-compacting reference mixtures were developed with different compositions. Table 1 summarises these different compositions. Table 1: Mixturecomposition for all reference mixtures Component Series 1 (kg/m3 ) Series 2 (kg/m3 ) Series 3 (kg/m3 ) CEM II/A-L 580 406 290 Limestone filler 20 20 20 GGBS - - 290 PFA - 174 - Fine aggregate 1020 1020 1020 Coarse aggregate 630 630 630 Superplasticiser (Glenium 27) 12.5 12.5 12.5 Stabiliser (RheoMatrix100) 7.8 7.8 7.8 Water 215.5 215.5 215.5 Initially, it was assumed that the steel fibres would reduce the workability. Therefore, it was necessary to design a self- compacting reference mixture with a high degree of flowability. For this reason, both the paste and mortar content were varied by increasing the ratio of sand to aggregate and increasing the cement content, while the contents of water, superplasticiser and stabilizer were adjusted by trial and error to obtain both a high slump (700 mm) and high passing ability (J-ring: 7.25 mm). Table 1 summarises the final mix design. Next, to evaluate both the empirical and rheological parameters of SFRSCC various steel volumetric proportions of steel fibres were incorporated into each reference mix. Table 2 lists all the SFRSCC mixtures as part of this experimental program. Three SCC and 18 steel fibre reinforced mixtures were tested. Table 2: Experimental program Steel fibre type Steel fibre content SCC-Series 1 (R 65/35) SCC-Series 2 (R 65/35) SCC-Series 3 (R 65/35) 0 (kg/m3 ) (REF) o o o 5 (kg/m3 ) o o o 10 (kg/m3 ) o o o 15 (kg/m3 ) o o o 20 (kg/m3 ) o o o 25 (kg/m3 ) o o o 30 (kg/m3 ) o o o To verify the obtained empirical and rheological parameters, cubes were cast for each mixture and tested at seven-day compressive strengths. The compressive strengths for series 1 and series 2 ranged from, respectively, 64.7 – 68.1 Mpa and 33.9 – 36.8 Mpa, while series 3 ranged from 52.1 – 56.3 Mpa. Torque(N/m) Speed (rev/s) Slope = h T = To + ANb g Linear approximaton of Hershel-Bulkley model
  • 3. 3 B. Materials The cement used throughout this experiment was CEM II/A-L, while also using PFA, GGBS and limestone filler (LS). The volume ratio of both the PFA GGBS was kept constant at, respectively, 70:30 and 50:50, and 95:05 for the LS. Fig. 1 shows the particle size distributions of all the powders used in this experiment. Fig. 2. Particle size distribution of powders A Glenium 27 superplasticiser based on chains of a modified Polycarboxylic ether complex was used to achieve an adequate workability. RheoMatrix 100, an aqueous solution of a high-molecular weight synthetic copolymer was used to modify the viscosity and cohesion of the mixtures. Ordinary tap water was used as mixing water in all the mixtures. One steel fibre (SF) type with hooked ends (R 65/35) were used in all the SFRSCC mixtures. The 65 is the aspect ratio and the 35 in the fibre length in mm. Both locally available sand and gravel were used. Crushed stone aggregates of nominal maximum size 10 mm were used as coarse aggregates. Fig. 3 shows the particle size distributions of all the aggregates. Fig. 3. Particle size distribution of the aggregates C. Mix procedure A free-fall mixer was used throughout this study. The following mix procedure was adopted:  Coarse aggregates and 40% water for 10 s.  Fine aggregates and powders for 60 s.  Superplasticiser and 50% water for 20 s.  Stabiliser and 10% water for 20 s.  Resting period of 600 s.  Mixing period of 60 s.  Steel fibres for 60 s. D. Test methods The quantitative empirical tests used in this experiment were the slump flow, L-box and J-ring. The inverted slump flow cone method was used in this experimental program. After lifting the slump flow cone, the slump flow is the mean horizontal flow spread and the t500 time is the time taken to reach a flow spread of 500 mm. Both the L-box and J-ring Fig. 4. Empirical test methods: (i) L-box (ii)Slump flowand (iii) inverted J- ring. were used to assess the passing ability. The concrete in the L- box is placed in the vertical channel. Opening the gate allows the concrete to flow through the vertical bar spacings and into the horizontal channel, the height of concrete in both the vertical and horizontal channel are then expressed as a ratio, known as the passing ratio, where an acceptable passing ratio ranges from 0.8 – 1.0. In the J-ring, the inverted cone is lifted, the t500 time recorded, that is, the time for the concrete to reach a 500 mm spread distance and its passing ability is assessed by the average height of concrete at four points around the ring minus the height at the central position and expressed in mm, where an acceptable passing value ranges from0 – 10 mm. The rheological tests were performed with the Tattersall Two- point workability apparatus (TWT), in particular, the MK II model, which involves an axial impeller with four angled blades positioned in a helical arrangement around a central drive shaft. The schematic diagram is shown in Fig. 5. According to Tattersall and Banfill (1983) this helical arrangement raises the concrete while also allowing the concrete to fall back through the gaps, i.e., minimises the effects of both segregation and bleeding. A cylindrical bowl containing the concrete is supported by means of an adjustable arm. This allows the concrete sample to be raised and supported both during testing and following the testing 0 10 20 30 40 50 60 70 80 90 100 0.0001 0.001 0.01 0.1 1 PERCENTAGEPASSING% PARTICLE SIZE (MM) GGBS CEM II/A-L Fly-ash LS 0 10 20 30 40 50 60 70 80 90 100 0.01 0.1 1 10 100 PERCENTAGEPASSING% PARTICLE SIZE MM Sand B & Coarse aggregates Sand B Series 1 Series 2 Series 3
  • 4. 4 regime. The effective height between the top of the bowl and the shearing surface is 75 mm. Before initiating the testing regime, the apparatus must run for 30 minutes to allow the oils (both hydraulic and gear) to reach their operating temperatures, and Fig. 5. Schematic diagram of TWT. during the warmup period, the recommended speed is 0.7 rev/s. However, Tattersall (2003) recommended speeds of 3.0 rev/s because at a warmup speed of 0.7 rev/s the idling pressure can change even after 80 minutes. In essence, the torque-speed relationship for the concrete undergoing testing is determined by reducing the speed (rev/s) from 0.7 to 0.3 rev/s at various speed intervals, while recording the resulting pressure (lb/in2) at these intervals of speed. In doing so, the torque intercept and slope and, therefore, the rheological parameters g and h are determined. The following testing regime was performed in order to determine the influence of time on both the empirical and rheological parameters, that is, an increase in time after the addition of both mixing water and cementitious materials. Table 3: Testingregimefortime evolutionof empiricalandrheological parameters. Sequence Regime-1 (15 min after addition of water) Regime-2 (30 - 65 min after addition of water) Regime-3 (65 - 95 min after addition of water) 1 TWT TWT TWT 2 Slump flow Slump flow Slump flow 3 L-box L-box L-box 4 J-ring J-ring J-ring First, the rheological parameters g and h were determined with the TWT apparatus, then followed by the empirical tests, i.e., Slump flow, L-box and J-ring. This was carried three times at different times after the addition of mixing water. Table 3 lists the three testing regimes and sequence of tests. Immediately after each test (i.e. TWT, Slump flow, L-box, J-ring) for all the mixtures, the concrete was remixed in the mixer with the remaining concrete for approximately 15 – 20 s, in order to try and eliminate the effects of segregation cause by the MK II apparatus and to promote an even distribution of fibres throughout all the mixture undergoing testing. III. RESULTS AND DISCUSSION A. Effect of SF, PFA and GGBS on rheology Rheological testing was performed on all the mixtures, 15 min after the addition of mixing water. In considering all the possible functional relationships for all the mixtures, the polynomial function seems to produce the best fit correlation between torque and speed. The slopes of these relationships and, therefore, the h parameters were determined by a linear approximation of the fitted Hershel-Bulkley model. Fig. 9. FittedHershel-Bulkleymodels for SCC-1 toSCC-7, 15 min after the addition of water. As the torque-speed relationships for all the mixtures showed nonlinear behavior, the Hershel-Bulkley model was used to represent these relationships. Fig. 9 – Fig. 11 illustrates these fitted Hershel-Bulkley relationships for all the mixtures corresponding to a TWT carried out 15 min after the addition of water. In Fig. 9 – Fig. 11, SCC-1 to SCC-7 represents series-1 with 0kg/m3 – 30kg/m3 of SF, SCC-8 to SCC-14 represents series-2 with 0kg/m3 – 30kg/m3 of SF and SCC-15 to SCC-21 represents series-3 with 0kg/m3 – 30kg/m3, respectively. Fig. 10. FittedHershel-Bulkleymodels for SCC-8 to SCC-14, 15 min after the addition of water. 0 1 2 3 4 5 6 7 8 9 10 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 Torque(N/m) Speed (rev/s) SCC-1, 15 min SCC-2, 15 min SCC-3, 15 min SCC-4, 15 min SCC-5, 15 min SCC-6, 15 min SCC-7, 15 min Series 1 (CEM II/A-L) 0 kg/m3 SF 5 kg/m3 SF 10 kg/m3 SF 15 kg/m3 SF 20 kg/m3 SF 25 kg/m3 SF 30 kg/m3 SF 0 1 2 3 4 5 6 7 8 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 Torque(N/m) Speed (rev/s) SCC-8, 15 min SCC-9, 15 min SCC-10, 15 min SCC-11, 15 min SCC-12, 15 min SCC-13, 15 min SCC-14, 15 min Series 2 (PFA) 0 kg/m3 SF 5 kg/m3 SF 10 kg/m3 SF 15 kg/m3 SF 20 kg/m3 SF 25 kg/m3 SF 30 kg/m3 SF TWT bowl Vane arrangement Speed gauge Pressure gauge Rack and pinion
  • 5. 5 Fig. 11. FittedHershel-Bulkleymodels for SCC-15 toSCC-21, 15 min after the addition of water. From Fig. 9 – Fig. 11, it may be observed that the rheological parameters g and h are increasing with an increase in steel fibre content. The variation of g and h with steel fibre content is presented in Fig. 12 and Fig. 13. The x-axis in both Fig. 12 and Fig. 13 represents the steel fibre content, i.e., 0kg/m3 – 30kg/m3. Fig. 12. Effect of PFA and GGBS on the rheological parameter g, 15 min after the addition of mixing water. Fig. 13. Effect of PFA and GGBS on the rheological parameter h, 15 min after the addition of mixing water. It may be observed that, in both cases, the rheological parameters g and h increase with an increase in steel fibre content. In addition, the parameter g decreases when using PFA and GGBS CEM II/A-L cement replacements in SFRSCC. However, the parameter g is somewhat constant for both the SFRSCC and the SFRSCC with 50% GGBS CEM II/A-L replacement at SF contents ranging from 0 – 15kg/m3. In Fig. 13, it may be observed that the parameter h increases when using 30% PFA and 50% GGBS CEM II/A-L replacements in SFRSCC. Fig. 14 – Fig. 16 illustrates the variation of g and h with increasing steel fibre contents for SCC-1 to SCC-21. In addition, the obtained correlation coefficients for SCC-1 to SCC-21, 15 min after the addition of water are illustrated. As shown in Fig. 14, a second order polynomial function seems to yield the best-fit correlation between the rheological parameters g and h, with a best-fit correlation, R2, of 0.855. It is the author’s opinion that the obtained rheological parameters (g and h) associated with SCC-7 are most likely underestimated, because during testing a significant degree of segregation was encountered. Nevertheless, the results for SCC-7 were included in this analysis. Fig. 14. Variation of g and h with increasing steel fibre (SF) contents for SCC-1 to SCC-7, 15 min after the addition of water. Fig. 15. Variation of g and h with increasing steel fibre (SF) contents for SCC-8 to SCC-14, 15 min after the addition of water. From Fig. 14 – Fig. 15, it may be observed that an exponential function seems to yield the best fit correlation between g and h for SCC-8 to SCC-13, and SCC-15 to SCC-20 with best fit correlations of, respectively, 0.841 and 0.708. Also, the torque-speed relationships and, hence, the obtained parameters g and h for SCC-14 and SCC-21 were not included in this 0 2 4 6 8 10 12 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 Torque(N/m) Speed (rev/s) SCC-15, 15 min SCC-16, 15 min SCC-17, 15 min SCC-18, 15 min SCC-19, 15 min SCC-20, 15 min SCC-21, 15 min Series 3 (GGBS) 0 kg/m3 SF 5 kg/m3 SF 10 kg/m3 SF 15 kg/m3 SF 20 kg/m3 SF 25 kg/m3 SF 30 kg/m3 SF 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 0 5 10 15 20 25 30 Rheologicalparameter,g Steel fibre content (kg/m3) SFRSCC SFRSCC with PFA SFRSCC with GGBS 0 1 2 3 4 5 6 7 0 5 10 15 20 25 30 Rheologicalparameter,h Steel fibre content (kg/m3) SFRSCC SFRSCC with PFA SFRSCC with GGBS 20 kg/m3 SF 0 kg/m3 SF 5 kg/m3 SF 10 kg/m3 SF 15 kg/m3 SF 25 kg/m3 SF 30 kg/m3 SF h = 1.939g2 - 2.764g+ 3.601 R² = 0.855 0 1 2 3 4 5 6 7 8 0 0.4 0.8 1.2 1.6 2 2.4 Rheologicalparameter,h Rheological parameter, g Series1 (CEM II/A-L) 0 kg/m3 SF 5 kg/m3 SF 10 kg/m3 SF 15 kg/m3 SF 20 kg/m3 SF 25 kg/m3 SF 30 kg/m3 SF h = 2.923e0.386g R² = 0.841 3 3.2 3.4 3.6 3.8 4 4.2 4.4 4.6 4.8 0.4 0.6 0.8 1 1.2 1.4 Rheologicalparameter,h Rheological parameter, g Series2 (PFA)
  • 6. 6 analysis, as the obtained torque-speed relationship for these data points possessed a significant degree of nonlinearity, which is an indication of segregation. Furthermore, during rheological testing a high degree of segregation was encountered (i.e., there was a significant amount of coarse aggregates and steel fibres stuck to the bottom of the mixing bowl) in SCC-14 and SCC-21, 15 min after the addition of water. Fig. 16. Variation of g and h with increasing steel fibre (SF) contents for SCC-15 to SCC-21, 15 min after the addition of water. B. Empirical and rheological parameters for SFRSCC The relationship between the J-ring step of blocking and L- box blocking ratio for all the mixtures (i.e. 15 to 95 min after the addition of water) is presented in Fig. 17. From Fig. 17, it may be observed that a linear relationship exists between these empirical values with a correlation coefficient (R2) of 0.83 and a coefficient of variation of -2.13, which suggests that the J- ring step of blocking is inversely related to the L-boxblocking ratio. Therefore, as the J-ring step of blocking (mm) decreases, L-box ratio increases. The following empirical relation may be obtained by least square regression: LB = 1.09-0.029(JR) (3) where JR is the J-ring step of blocking in mm and LB is the L- box blocking ratio. Fig. 17. Variation ofJ-ring step of blocking with L-box blocking ratio for SCC-1 to SCC-21, 15 to 95 min after the addition of water. The variation of slump flow and slump flow t500 time with, respectively, g and h is presented in Fig. 18 and Fig. 19. From Fig. 18, it may be observed that a poor relationship exists between slump flow and g, 15 to 95 min after the addition of water with a correlation coefficient (R2) of 0.22 and a coefficient of variation (CV) of -9.98. From Fig. 19, it shows a correlation coefficient of 0.3 and a coefficient of variation of - 1.0 between slump flow t500 time and h for all the mixtures tested at 15 to 95 min after the addition of water. Fig. 18. Variation ofSlump flowwith gfor SCC-1 to SCC-21, 15 to 95 min after the addition of water. Fig. 19. Variation ofSlump flowt500 time with h for SCC-1 to SCC-21,15 to 95 min after the addition of water. The variation of J-ring step of blocking with blocking ratio, 15 min after the addition of water is presented in Fig. 20. It may be observed that there exists a linear relationship between these empirical parameters with a correlation coefficient (R2) of 0.9. In addition, the obtained coefficient of variation (CV) is -1.043, which suggests that the J-ring step of blocking is inversely related to the L-box blocking ratio. Therefore, as the J-ring step of blocking (mm) decreases, L-box ratio increases. The following empirical relation may be obtained by least square regression: LB = 1.098-0.027(JR) (4) 0 kg/m3 SF 5 kg/m3 SF 10 kg/m3 SF 15 kg/m3 SF 20 kg/m3 SF 25 kg/m3 SF 30 kg/m3 SF h = 4.362e0.272g R² = 0.708 4 4.5 5 5.5 6 6.5 7 0.6 0.8 1 1.2 1.4 Rheologicalparameter,h Rheological parameter, g Series3 (GGBS) LB = -0.029JR+ 1.09 R² = 0.83 0 0.2 0.4 0.6 0.8 1 1.2 0 20 40 60 80 L-boxblockingratio(H2/H1) J-ring, step of blocking(mm) SCC-1 to SCC-21, 15 min SCC-1 to SCC-21, 30 - 65 min SCC-1 to SCC-21, 60 - 95 min SCC-7, 95 min CV = -2.13 SF= -35.47g + 734.7 R² = 0.22 500 550 600 650 700 750 800 0 1 2 3 4 Slumpflowspread(mm) Rheological parameter, g SCC-1 to SCC-20, 15 min SCC-1 to SCC-20, 30 - 65 min SCC-1 to SCC-20, 60 - 95 min CV = -9.98 SF, t500 = 0.614h + 0.837 R² = 0.30 0 2 4 6 8 10 12 0 2 4 6 8 10 Slumpflow,t500time(sec) Rheological parameter, h SCC-1 to SCC-20, 15 min SCC-1 to SCC-20, 30 - 65 min SCC-1 to SCC-20, 60 - 95 min CV = 1.0
  • 7. 7 where JR is the J-ring step of blocking in mm and LB is the L- box blocking ratio. Fig. 20. Variation ofL-boxwithJ-ringforSCC-1 to SCC-21, 15minafterthe addition of water. The variation of slump flow and slump t500 time with, respectively, g and h is presented in Fig. 21 and Fig. 22. It may also be observed from Fig. 21 that there exists a linear relationship between slump flow and g with an obtained correlation coefficient (R2) of 0.8 and a coefficient of variation (CV) of -4.57, which suggests that g is inversely related to slump flow. Fig. 21. Variation ofSlump flowwith rheological parameter g for SCC-1 to SCC-21, 15 min after the addition of water. As the rheological parameter g decreases, slump flow increases. In addition, the obtained parameters g and h for SCC-7 and SCC-21 were not included in this analysis, as a significant amount of coarse aggregates and steel fibres had settled to the bottom of the TWT bowl. The following empirical relation may be obtained by least square regression: SF = 730.9-43(g) (5) where SF is the slump flow in mm and g is the rheological parameter in N/mm, which is related to yield stress. It may be observed from Fig. 22 that there also exists a relationship between slump flow t500 time and h with a correlation coefficient of 0.835 and a coefficient of variation of 0.72, which suggests that the slump flow t500 time is positively related to the rheological parameter h. Therefore, the following empirical relationship may be obtained by least square regression: h = 1.63(t500)-0.68 (6) where h is the slope of the torque-speed relationship (i.e., the slope of the linear approximation of the Hershel-Bulkley model, which is related to plastic viscosity and t500 is the slump flow t500 time in seconds. Fig. 22. Variation ofSlump flowt500 time with h for SCC-1 to SCC-21, 15 min after the addition of water. IV. CONCLUSIONS Based on the results presented in this paper, the following conclusion can be drawn:  There is a good correlation between the J-ring step of blocking and L-box blocking ratio for all the mixtures at testing times corresponding to 15 to 95 min after the addition of both mixing water and cementitious materials. J-ring step of blocking decreases linearly as L-box blocking increases.  A good correlation between inverted slump flow and g for all the mixtures, 15 min after the addition of both mixing water and cementitious materials. Also, the parameter g decreases as inverted slump flow increases.  A good correlation between inverted slump flow t500 time and h, 15 min after the addition of water and cementitious materials. In addition, the parameter h increases as inverted slump flow t500 time increases.  There is a poor correlation between g and inverted slump flow, h and inverted slump flow t500 time, 15 to 95 min after the addition of water and cementitious materials.  The rheological parameters g and h increased with an increase in steel fibres content. In addition, there SCC-1 SCC-2 SCC-3 SCC-4 SCC-5 SCC-6 SCC-7 SCC-8 SCC-9 SCC-10 SCC-11 SCC-12 SCC-13 SCC-14 SCC-15 SCC-16 SCC-17 SCC-18SCC-19 SCC-20 SCC-21 LB = -0.0272JR + 1.098 R² = 0.9 0 0.2 0.4 0.6 0.8 1 1.2 0 5 10 15 20 25 30 35 40 L-boxblockingratio(H2/H1) J-ring, step of blocking(mm) CV = -1.043 SCC-1 SCC-2 SCC-3 SCC-4 SCC-5 SCC-6 SCC-7 SCC-8 SCC-10 SCC-9 SCC-11 SCC-12 SCC-13 SCC-15 SCC-16 SCC-17 SCC-18 SCC-20 SCC-19 SCC-14 SCC-21 SF= -43g + 730.9 R² = 0.8 640 650 660 670 680 690 700 710 720 730 0.00 0.50 1.00 1.50 2.00 2.50 Slump-flowspreadvalue(mm) Rheological parameter, g CV = -4.57 SCC-1 SCC-2 SCC-3 SCC-4 SCC-5 SCC-6 SCC-7 SCC-8 SCC-9 SCC-10 SCC-12 SCC-11 SCC-13 SCC-15 SCC-16 SCC-17 SCC-18 SCC-19SCC-20 SCC-14 SCC-21 h = 1.63t500 - 0.68 R² = 0.835 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 Rheologicalparameter,h Slump-flow, t500 time (sec) CV = 0.72
  • 8. 8 is a good correlation between the relative parameters g and h with increasing steel fibre contents.  Using 30% PFA and 50% GGBS CEM II/A-L cement replacements reduced the parameter g, while causing an increase in h.  The workability of SFRSCC is retained for longer periods when using 30% PFA and 50% GGBS CEM II/A-L cement replacements. V. REFERENCES [1] Kasimmohammed, A. (2014). Flexural and shear performance of high dosage steel fibre reinforced concrete in suspended slabs. [2] Grünewald, S., and Walraven, J. C. (2001). Parameter- study on the influence of steel fibres and coarse aggregate content on the fresh properties of self- compacting concrete. Cement and Concrete Research, 31(12), 1793-1798. [3] Hossain, K. M. A., Lachemi, M., Sammour, M., and Sonebi, M. (2012). Influence of Polyvinyl Alcohol, Steel, and Hybrid Fibres on Fresh and Rheological Properties of Self-Consolidating Concrete. Journal of Materials in Civil Engineering, 24(9), 1211-1220. [4] Newman, J., and Choo, B. S. (Eds.). (2003). Advanced concrete technology set. Butterworth-Heinemann. [5] Tattersall, G. H., and Banfill, P. F. G. (1983). The rheology of fresh concrete (No. Monograph). Pitman Advanced Pub. Program. [6] Feys, D., Verhoeven, R., and De Schutter, G. (2008). Fresh self-compacting concrete, a shear thickening material. Cement and Concrete Research, 38(7), 920- 929. [7] De Schutter, G., Gibbs, J., Domone, P., and Bartos, P. J. (2008). Self-compacting concrete. Whittles Publishing. [8] Tattersall, G. H. (2003). Workability and quality control of concrete. Taylor & Francis.