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Greg Wilkinson
Representative, LEED AP BD+C
Graniterock
SAMPLING AND TESTING CHIP & SLURRY SEAL AGGREGATES
QUALITY IS…
Accuracy Consistency
ACCURACY + CONSISTENCY = QUALITY
• The process is accurate if it does not contain any bias or systematic error.
• The process is consistent if the standard deviation is small and the control limits are narrow.
• Control Charts are used to measure accuracy and consistency of a process over time.
Monitoring Accuracy and Consistency with Control Charts
The process is accurate if it does not contain any bias or systematic error. Systematic error leads to values that are consistently higher or lower than the target value (66.15%)
Monitoring Accuracy and Consistency with Control Charts
The process is consistent if the standard deviation is small and the control limits are narrow.
A smaller standard deviation will bring the control limits closer together. A larger standard deviation will bring the control limits farther apart.
AGGREGATE PROPERTIES • Particle Size Distribution (Gradation) • CT Coarse/Medium/Medium Fine & Fine Screenings • CT Type I, II and III Slurry Seal Aggregates
Aggregate should be capable of meeting gradation
specifications consistently. Densely graded slurry seal aggregates and single-sized screenings are preferred.
PARTICLE SIZE DISTRIBUTION (GRADATION)
OBSERVATIONS…
• Segregation of the sample can result in inaccurate gradation measurements. Sources of segregation are:
1. Large stockpiles 2. Improper sample size reduction (splitting) 3. Biased Sampling
GRADATION SPC 20 GRADINGS 3/4" 1/2" 3/8" #4 #8
Average Value 100 96 67 8 2.5Standard Deviation 0 2 6 3 0.6High Value 100 99 81 15 3.5Low Value 100 92 56 5 0.6
SPECIFICATIONS SPC Charts
1/2 x #4 ASTM GRCO LCL-UCL
C-33 Spec LCL UCL
3/4" 100 100 100 1001/2" 90-100 90-100 93 993/8" 40-70 47-70 52 77#4 0-15 0-15 1 12#8 0-5 0-5 0.9 4.0
ADVANCED SPC JMP EVALUATION
12
14
16
18
20
22
24
% P
ass
#4
01/2
0/20
08
02/2
0/20
08
03/2
0/20
08
04/2
0/20
08
05/2
0/20
08
06/2
0/20
08
07/2
0/20
08
08/2
0/20
09
09/2
0/20
08
Date
Avg=17.56
LCL=12.71
UCL=22.40
Individual Measurement of % Pass #4
LSL USL
-3s +3sMean
10 20 30
Sigma = 1.61606
CPCPKCPMCPLCPU
Capability2.5782.567
.2.5902.567
Index1.7201.690
.1.7131.697
Lower CI3.4363.443
.3.4643.433
Upper CI
Below LSLAbove USLTotal Outside
Portion0.00000.00000.0000
Percent0.00000.00000.0000
PPM9.2689.2019.141
SigmaQuality
Control Chart Sigma
0
5
10
15
20
25
30
35
LSL
USL
.01 .05.10 .25 .50 .75 .90.95 .99
-3 -2 -1 0 1 2 3
Normal Quantile Plot
SPLIT ONLINE CAMERA SYSTEM
REAL-TIME PROCESS CONTROL WINSPC SOFTWARE
BENEFITS OF REAL-TIME PROCESS CONTROL
• Operators see the effects of plant configurations and changes
• Best Practices can be developed to reduce variability and improve compliance with specifications.
AGGREGATE PROPERTIES • Cleanness • Exceed Minimum CV Value • Exceed Minimum SE Value
Screenings that are not clean may not adhere to the asphalt. Slurry seal aggregates that are not clean may absorb
excessive amounts of emulsion.
CLEANNESS VALUE VIDEO
SAND EQUIVALENT CALCULATION
⎟⎟⎠
⎞⎜⎜⎝
⎛=
clayofheightsandofheight
equivalentsand 100
OBSERVATIONS…
• Sand Equivalent results can be biased by particle shape and gradation.
AGGREGATE PROPERTIES • Durability and Abrasion Resistance • Parent aggregate of screenings should not exceed maximum
loss when tested in the L.A. Rattler • Slurry seal aggregate shall meet minimum durability index
requirements
Abrasion and low durability cause the generation of unwanted and unexpected fines, which impacts gradation and
cleanness. Chipping and fracturing are also symptoms of low durability and abrasion resistance.
DIFFERENCE BETWEEN SAND EQUIVALENT AND DURABILITY INDEX TEST
Sand Equivalent
• Sample is not washed
• Sample mixed for 45 seconds
Durability Index (fine)
• Sample is washed
• Sample is abraded for 10 minutes
SAMPLE
• When a small number of individuals of from a population are selected and studied to collect information that is used to draw conclusions about the whole population, this collection of individuals is called a sample.
Bias: Systematic favoritism that is present in the data collection process, resulting in lopsided, misleading results
A GOOD SAMPLE
THE BEST LABORATORY AND BEST TECHNICIANS CANNOT COMPENSATE FOR A
BAD SAMPLE. ALL OF THE TIME SPENT TESTING IS A WASTE IF THE SAMPLE DOES
NOT REPRESENT THE MATERIAL THAT EXISTS OR WILL BE USED.
A GOOD SAMPLE IS A SAMPLE THAT IS REPRESENTATIVE OF THE MATERIAL.
EXAMPLES OF BIAS
• A salesman has delivered a bag of material from the jobsite that was sampled by the contractor, who reports that the sample is contaminated with over-sized particles.
• A technician visits a rock quarry every morning at 6:30 am to collect her daily sample. The quarry operators expect her visit every morning at this time, and make sure that the plant is running under ideal conditions.
SAMPLE LOCATIONS
SEGREGATION IN STOCKPILES
SMALL STOCKPILE SAMPLING VIDEO