Intelligent Compaction
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1 Intelligent Compaction for Soils and Asphalt Stan Rakowski Sakai America, Inc.
2 Instrumented Rollers New Tool for assessing compaction quality Data speaks for itself
3 IC Measures Engineering Properties changing from Density Modulus Density Mass / Volume Proctor Test Moisture Control Stiffness /Modulus Mechanistic Testing Equipment
4 Compaction Control Value CCV Soft Hard Changes in Amplitude Spectrum and Condition of ground
5 CCV Sensor
6 Influence of Stiffness of Underlying Layer on CCV ヤード Section AA ヤード Section B B 平板載荷ヤート 捨てレーン 捨てレーン 捨てレーン 捨てレーン 試験層 Test layer Plate loading section CCV in Test layer Sec. A Sec. B Plate Loading 基層 Subbase layer CCV in Subbase Sec. A Sec. B Plate Loading Distance (m)
7 Density w/nuclear Gauge & CCV CCV CC CCV V ( in ヤード Sec. AA ) CCV CCV in ( ヤード Sec. BB) 乾燥密度 Dry density ( ヤード in Sec. A A) 乾燥密度 Dry density ( ヤード in Sec. B) B 転圧回数 No. of Roller Passes 乾燥密度 (t/m 3 ) Dry density (t/m 3 )
8 Density vs. CCV CCV ヤ Sec. ードB B 加水ヤード High moisture section Dry 乾燥 density 密度 ((t/m t /m 3 ) 3 )
9 Deflection by FWD and CCV CCV Benkelman beam FWD 30 DB たわみ量 ( mm) Deflection (mm) DF
10 Sakai first IC Trials First application for Hot Mix Asphalt California - June 2006
11 Number of Roller Passes during Breakdown Rolling NRP is not uniform. Shoulder (Supported) Longitudinal Joint
12 Number of Roller Passes during Finish Rolling NRP is not uniform. Longitudinal Joint Shoulder (Median) side
13 Bridge Rolling Patterns Day 2 First Day of Paving Lift of Base Course US 219 Day 3 2nd Lift of Base Course Day 3 Binder Course Rolling pattern improvement after seeing the results of the first day
14 Bridge Subbase Mapping 3000 vpm, 0.6mm, 5 tracks, 2mph US vpm, 0.6mm, 3 tracks, 2mph 3000 vpm, 0.6mm, 4 tracks, 3 mph N
15 IC Demos California, Florida, Georgia NCHRP: Maryland, Florida, N Carolina TPF: Minnesota, Kansas, New York, Mississippi, Maryland, Georgia, Indiana
16 Compaction Information System (CIS)
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18 Surface Temperature Note: Forward passes show the surface temperature more accurately. Water sprayed on the drums cools the surface rapidly, the surfaces temperature rises again as the water evaporates. Surface Temperature readings are always lower when the roller travels in reverse.
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20 Software 01 Plan AithonPD 02 Construction AithonMT 03 Analysis/Documentation AithonPD 1 Settings (Office) Input 2 Construction (Roller) Mapping 3 Analysis and Documentation Output
21 Create Input Data File for working area - Aithon CAD 2D,3D - Aithon Standalone
22 Define the working area - Mesh size, layer - Data values
23 How mesh data is recorded
24 What Mesh Size? 1 ft, 3ft, 6 ft? Smaller mesh creates more data and larger files
25 Number of Passes
26 CCV
27 HMA Temperature
28 Data Analysis CAD or Standalone Examples Sorting temperature values after the first roller pass. Number of passes CCV after 3passes CCV after last pass Any other needed development for the data.
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31 Minnesota Kandiyohi County Road 4 June 2008
32 IC roller maps subbase
33 Kandiyohi Rt 4 Subbase layer sb nb
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39 What we ve seen so far? IC can improve QC/QA procedures Data gives 100% roller coverage Complete documentation for every lift Can quantify uniformity of compaction Data handling and analysis methods are improving Software is getting better and easier to use It works! 39
40 Factors affecting CCV Material Type of soil: cohesive, granular Moisture content Maximum aggregate size Stiffness of underlying layer Vibration amplitude Travel speed and travel direction HMA temperature
41 The Data Speaks For Itself!
42 Thank You
Improving Quality Control with Intelligent Compaction
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