3. • Premature Failure of Flexible
pavements is common in Pakistan.
• Factors contributing towards failures;
like loading, temperature variation,
construction practices, material
specifications, and designs (Pavement
and asphalt mix design).
Introduction
• Asphalt mix design Practices;
• Lack of knowledge about aggregate
packing characteristics.
• We blend aggregate closer to mid
line of aggregate gradation.
4. Conventional Field Mix Design
• Materials Properties
•Flakiness and elongation ratio
• %age absorption, Gsb
• LAAV
• Soundness Value, PI Value
Values should
be within
Specifications
Drawbacks
• Shape, texture effects
;
• Packing;
• Volumetric Control
• Performance of Mix
TRIAL BLEND
SIEVE
Sizes
Fraction#
01, 02, 03
(Passing
%)
Batch
Percent
Final
Blend
J.M.F
LIMITS Spec.
5. Bailey Method
• Originally developed in 1980’s by Robert D.
Bailey (IDOT).
• Focus is aggregate PACKING!
• Determine “COARSE” and “FINE”
• Evaluate individual agg’s and combined blend
by VOLUME as well as by WEIGHT.
• Estimate HMA Volumetric especially VMA.
6. Bailey Method
The Bailey Method is a;
• systematic approach to blending aggregates
• provides aggregate interlock as the backbone of
the structure and,
• a balanced continuous gradation to complete the
mixture.
• set of tools that allows the evaluation of
aggregate blends.
• These tools provide a better understanding in the
relationship between aggregate gradation and
mixture voids.
7. Bailey Method
Large aggregate particles that when placed in unit
volume creates voids.
Aggregate particles that can fill the voids
created by the coarse aggregate in the mixture.
Definition of coarse and fine depends on the NMAS of the mixture.
Sieve that define coarse and fine aggregate is known as Primary Control Sieve (PCS)
8. Coarse versus Fine Aggregate
Example: Break b/w coarse and fine aggregate for 19.0mm
NMAS mixture.
PCS= NMASX0.22
Mix.
NMAS
NMASX0.22 PCS
Sieve
37.5mm 8.25mm 9.5mm
25.0mm 5.5mm 4.75mm
19.0mm 4.18mm 4.75mm
12.5mm 2.75mm 2.36mm
9.5mm 2.09mm 2.36mm
4.75mm 1.045mm 1.18mm
is “0.22” a
magical
number?
9. Primary Control Sieve
Particle
Shape
PCS
Factor
All Round
0.15
2 Round
1Flate
0.20
1Round
2Flate
0.24
All Flate 0.29
Average 0.22
Round
face of
particle
Flate face
of particle
Particle
dia (d)
2-D & 3-D analysis of the packing of different shape particles
11. K J I H G F E D C B AK J I H G F E D C B A
Sieve Size (mm) Raised to 0.45 PowerSieve Size (mm) Raised to 0.45 Power
100100
00
%Passing%Passing Combined Blend GradationCombined Blend Gradation
5050
2020
8080
Sieve % Passing
A 100
B 97
C 76
D 63
E 39
F 25
G 17
H 11
I 7
J 5
K 4.2
1010
3030
4040
6060
7070
9090
CoarseFine
1
2
3
4
Coarse agg. Ratio (CA) relates to
the coarse & intermediate fractions
Fine agg. Coarse ratio (Fac) relates to
the amount of large sand in the mix.
Primary Control Sieve (PCS)
defines what is coarse and fine
Fine agg. Fine ratio
(FAf) relates to the
amount of fine sand
in the mix.
SCS
TCS
12. Combined Blend Evaluation
Coarse-Graded Mixes
Half Sieve = 0.5 x NMAS
PCS = 0.22 x NMAS
Coarse
Fraction
Fine
Fraction
SCS = 0.22 x PCS
TCS = 0.22 x SCS
1
CA CUW (% PCS)
CA Ratio =
% Half Sieve - % PCS
100 - % Half Sieve
FAf Ratio = % TCS
% SCS
2
3
4
FAc Ratio = % SCS
% PCS
15. Unit Weight
Loose Unit Weight Rodded Unit Weight
• No compactive efforts
• Start of particle-
particle contact
• Volume of voids
• With compactive
efforts
• 3-layers, 25-temping
• Increased p-to-p
contact
• Volume of voids
16. Chosen Unit Weight ~ VMA
Lower limit of aggregate interlock
Upper limit of aggregate interlock
Less than LUW≈ Fine agg. skeleton
More than RUW≈ Dense graded mix
17. Combined Blend Evaluation
Coarse-Graded Mixes
3. FAc Ratio increase = VMA decrease
0.05 change ≅ 1% change in VMA or Voids
Range 0.025 – 0.075
1. CA CUW increase = VMA increase
4% change in PCS ≅ 1% change in VMA or Voids
Range 3 – 5%
2. CA Ratio increase = VMA increase
0.20 change ≅ 1% change in VMA or Voids
Range 0.10 – 0.30
4. FAf Ratio increase = VMA decrease
0.05 change ≅ 1% change in VMA or Voids
Range 0.025 – 0.075
Has the
most
influence on
VMA or
Voids
19. Estimating VMA or Voids
Trial #2 vs. Trial #1
Controls Difference VMA or
Voids
Variation in
VMA
PCS 37.2%-38.2%= -1.0 Increases 1.0/4.0 = +0.25%
CA Ratio 0.725-0.693= +0.032 Increases 0.032/0.2= +0.16%
FAc 0.444-0.492= -0.048 Increases 0.048/0.05= +0.96%
FAf 0.412-0.394= +0.018 Decreases 0.018/0.05= -0.36%
Total Estimate Change (approx.) 1.0%
20. Sieve analysis of each
aggregate fraction
Selecting % of Coarse
Fractions
Defining %age Coarse
aggregate Loose unit weight
Specific gravity
determinations
Loose & Rodded Dry Unit
Weight
%age absorption
Weight/volume contributed
Coarse aggregate
Voids in Coarse Aggregates
Weight per volume contributed
by the Fine aggregate
%age Coarse and Fine Aggregate
by weight
Defining Control Sieves
(PCS, SCS, TCS)
Defining CA Ratio, FAc &
FAf Ratio
Define Coarse and Fine
aggregate
Final aggregate gradation
Amount of fine in each Coarse
and amount of coarse in fine
aggregate
Correction to Fine and Coarse
aggregate
Amount of minus 0.075mm
material (filler)
Collection of aggregate
from each stockpile
Hierarchy of Bailey Method
1
2
3
4
5
6
7
8
9
1
0
1
1
1
2
1
3
1
4
1
5
1
6
1
7
1
8
21. Ratio’s Ratio
CA 0.652
FAc 0.453
FAf 0.461
Final Percentages by
WEIGHT
#1-CA 33.3 %
#2-CA 30.9 %
#3-CA 0.0 %
#4-CA 0.0 %
#1-FA 35.8 %
#2-FA 0.0 %
#3-FA 0.0 %
#4-FA 0.0 %
MF 0.0 %
Hyd Lime 0.0 %
Total = 100.0 %
Work Sheet (Bailey Method)
Gsb VCA
2.641 51.32
22. To investigate the possible relationship between the Voids in
Coarse aggregate (VCA) and maximum achievable
packing (density) using the local aggregates.
To establish limiting values of voids in Coarse aggregate
(VCA) against achievable packing (density) at different nominal
maximum aggregate sizes using the Bailey Method.
To investigate the effect of packing characteristic on
asphalt mixture performance.
Objectives
25. Sr.
No.
Title Test Designation
Output Parameters/ Test
Details and units
Tests Results
1 Fractured Particles ASTM D 5821 100 %
2 Flat and Elongated Particles BS 812-105.1:1989 Flakiness Index, Elongation Index 12.05, 16.5
3 Loss Angeles Abrasion test ASTM C 131 % Weight Loss 22
4 Soundness & Durability ASTM C 88 % Weight Loss (Coarse, Fine) 0.18, 2.48
5 Deleterious Materials ASTM C 142 % Loss 0.94
6 Water Absorption ASTM C 127
% (25-38 mm, 12-25 mm, 5-12
mm, 0-5 mm)
0.35, 0.59, 0.70, 1.65
7 Bulk Specific Gravity ASTM C 127
(25-38 mm, 12-25 mm, 5-12 mm,
0-5 mm)
2.656, 2.640, 2.619, 2.700
8 Apparent Specific Gravity ASTM C 127
(25-38 mm, 12-25 mm, 5-12 mm,
0-5 mm)
2.686, 2.690, 2.691, 2.741
9 Effective Specific Gravity ASTM C 127
(25-38 mm, 12-25 mm, 5-12 mm,
0-5 mm)
2.667, 2.659, 2.646, 2.709
10 Gradation Test ASTM C 136
11 Unit Weight (Loose) ASTM C 29
(25-38 mm, 12-25 mm, 5-12 mm,
0-5 mm) in kg/m3 1368, 1409, 1347, 1625
12 Unit Weight (Rodded) ASTM C 29
(25-38 mm, 12-25 mm, 5-12 mm,
0-5 mm) in kg/m3
1487, 1529, 1471, 1790
13 Uncompacted Voids (Fine Aggregates only) ASTM C 1252 % (0-5 mm) 40
14 Sand Equivalent (Fine Aggregates only) ASTM D 2419 % 81.25
15 Plasticity Index (Fine Aggregates only) ASTM D 4318 Non-plastic ---
Qualitative Testing of Ubhan Shah aggregates
46. Complex Modulus Testing
(AASHTO TP62-03)
Complex modulus (E*) defines the relationship between stress and strain for
a linear viscoelastic material under sinusoidal loading (δO/εo).
• Useful test for comparative
study of mixtures.
• Results can be used to develop
master curves
│E*│=
47. Development of Master Curve
γ = affects the steepness of the function (rate of change
between minimum and maximum) and
β = the horizontal position of the turning point.
δ and α rely on aggregate gradation, binder amount
air void content.
β and γ, on the other hand, rely on the characteristics of
the asphalt binder and the magnitude of δ and α
[2002 Design Guide, (2004)].
|E*| = dynamic modulus
tr
= time of loading at the reference
temperature (reduced time)
δ = minimum modulus value
δ + α = maximum modulus value
β, γ = parameters describing the shape of
the sigmoidal function
54. Direct relationship exist between VCA and
Gsb.
Conclusion
Limiting values of Packing parameters can
be used for different aggregate gradation.
1
2
3
Optimum criteria based on VCA & Gsb
provide general solution for blending the
aggregate gradation for all NMAS.
55. Conclusion
Mix with Bailey gradation showed lesser rut potential.
Mix with Bailey method showed less temperature
sensitivity and yield higher stiffness.
Mix with Bailey gradation showed more resistance to post
compaction.
Bailey method works well with the aggregate properties in
Pakistan.
4
5
6
7
Remember the focus is aggregate packing. Before we discuss the pieces of the puzzle, I want to give you an overall picture of the method.
This is a maximum density chart or 0.45 power curve, where the X-axis represents the sieve size raised to the 0.45 power, and the Y-axis represents the gradation in % passing.
I’ve used letters to label the sieves because these concepts apply, regardless of mix size.
The dashed line is an example of a combined blend gradation for a COARSE-graded mix.
There are FOUR main principles to the Bailey Method.
Principle #1 determines the break between coarse and fine, along with the volume of each. From this, we can determine which particles create voids and which ones fill them, along with determining which fraction (coarse or fine) is in control.
The other three principles evaluate distinct portions of the combined blend.
Principle #2 evaluates the coarse fraction and how the various particle sizes are distributed, which relates to the packing of the coarse fraction and in turn how this influences the packing of the fine fraction.
Principle #3 evaluates the coarse part of the fine fraction, which relates to the packing of the overall fine fraction in the combined blend.
Principle #4 evaluates the fine part of the fine fraction, which relates to the packing of this portion of the combined blend.
Each of these four principles plays a specific role in aggregate packing, or Voids in the Mineral Aggregate (VMA). We will also discuss how to relate these principles to compactibility and segregation susceptibility in the field, and how to use them for estimating the expected change in VMA or Voids from one design trial to the next, or from one QC sample to the next.
This is a summary of the four main principles of the Bailey Method for Coarse-graded mixes along with the main sieves of reference.
Principle #1 (% PCS) is a direct result of the CA Volume, which is expressed as a percentage of the CA Loose UW. Although CA LUW is actually a density (i.e. kg/m3 or lbs./ft3), there is a solid volume of CA and corresponding volume of voids at a given % of the CA LUW.
Principle #2, the CA ratio, relates to the particle size distribution in the Coarse fraction.
Principle #3, the FAc ratio, relates to the particle size distribution in the overall Fine fraction.
Principle #4, the FAf ratio, relates to the particle size distribution in the fine part of the Fine fraction.
Remember that there is a “Dip” for each of the two FA ratios, which represents a point at which the maximum packing occurs.
Increasing OR decreasing a given ratio from this “Dip” causes the VMA to INCREASE.
It is important to figure out WHERE these “Dip’s” occur.