CCC & INTELLIGENT COMPACTION BY DR. GEORGE K. CHANG, - - PDF document

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CCC & INTELLIGENT COMPACTION BY DR. GEORGE K. CHANG, - - PDF document

CCC & INTELLIGENT COMPACTION BY DR. GEORGE K. CHANG, PROF. GUANGHUI XU , IICTG FOUNDERS IICTG.org IICTG.org


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SLIDE 1

IICTG.org IICTG.org

CCC & INTELLIGENT COMPACTION

  • BY
  • DR. GEORGE K. CHANG, PROF. GUANGHUI XU

, IICTG FOUNDERS

  • IICTG.org

IICTG.org

  • IICTG.org

IICTG.org

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SLIDE 2

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SLIDE 3

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IICTG.org

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CCC – CONTINUOUS COMPACTION CONTROL

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SLIDE 4

IICTG.org IICTG.org

  • Courtesy of Bomag
  • IICTG.org

IICTG.org

100 % Coverage

  • 1 / 1,000,000
  • Courtesy of Caterpillar

IICTG.org IICTG.org

Control Box GNSS Receiver Temperature Sensor Temperature Sensor e

Courtesy of Trimble

Accelerometer

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SLIDE 5

IICTG.org IICTG.org

  • IICTG.org

AUTO-FEEDBACK CONTROL - AFC

Courtesy of Ammann

Ammann

  • IICTG.org

AUTO-FEEDBACK CONTROL - AFC

Courtesy of Bomag

BOMAG

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SLIDE 6

IICTG.org IICTG.org

1960 1970

11960’s:

  • 21970’s:

1975GEODYNAMIKDYNAPAC

  • CMV

IICTG.org IICTG.org

1980’S

  • BOMAGAMMANNGeodynamik

10CMV

  • 1982BOMAG
  • 1988
  • 1989

IICTG.org IICTG.org

1990’S (1/4)

Continuous Compaction Control CCC——

  • 1992BAUMAICM
  • 1993German Ministry of Highways Construction

SCCC

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SLIDE 7

IICTG.org IICTG.org

1990’S (2/4)

  • 1994SCCC
  • 1996Variomatic
  • 1998

CCCBYA92ATB Väg 2004ZTVE-StB-93949520072009TP BF-StB E2 94RVS 8S.02.6Tielaitos91 CCC

  • IICTG.org

IICTG.org

VARIOMATIC

Control unit

IICTG.org IICTG.org

1990’S (3/4)

  • CMV

OMEGAOMV

  • 1993
  • 1998

1999CPMS

slide-8
SLIDE 8

IICTG.org IICTG.org

2000’S (1/2)

  • 2000

——Evib

  • 2001Asphalt manager
  • 2001AmmannACEAV 95

– Kb

  • 2004FHWA

IICTG.org IICTG.org

IICTG.org IICTG.org

1982 First compaction measurement system for soil compaction Terrameter BTM01 1995 First compaction management system BCM03 for large projects 1999 First intelligent soil compactor with automated controled variable amplitude and stiffness measurement system ( Evib ) / Variocontrol 2001 First intelligent asphalt compactor with automated controled variable amplitude and stiffness measurement system ( Evib ) / Asphalt Manager 2002 First 26 t polygonal roller for deep soil compaction

slide-9
SLIDE 9

IICTG.org IICTG.org

AMMANN ACE

Drum

  • Amplitude changes stepless
  • variable Frequency

ACE-Display

  • Material Preselection
  • Compaction Values

ACEplus

  • Stiffness kB [MN/m]
  • Number of Passes
  • Process-Improvement

IICTG.org IICTG.org

2000’S (2/2)

  • 2003MDP
  • 2008(TPF)
  • 2008
  • CPMS

……………

IICTG.org IICTG.org

2010’S (1/3)

  • 2011
  • 2015
  • 2016
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SLIDE 10

IICTG.org IICTG.org

2010’S (2/3)

  • 2012FHWA

2014(AASHTO) 2016245050% ……

  • 2015 CATMDP
  • ……

IICTG.org IICTG.org

2010’S (3/3)

  • 2016IICTG
  • 2016/UIC

FrEest

IICTG.org IICTG.org

IICTG

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SLIDE 11

IICTG.org IICTG.org

CCC & INTELLIGENT COMPACTION

  • BY
  • DR. GEORGE K. CHANG, PROF. GUANGHUI XU

, IICTG FOUNDERS

  • IICTG.org

IICTG.org

SECTION 2 PRINCIPLE

IICTG.org IICTG.org

Interaction between a rigid vibrating cylinder and various types of filling body

  • Dynamics control problem

Elastic and plastic filling body

  • High temperature, viscosity and

elastic plastic filling body

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SLIDE 12

IICTG.org IICTG.org

Deformation characteristics of filling body during rolling process

  • Rolling process

At the end of rolling:

The elastic state can be modeled and analyzed according to the existing theory

  • p

e

  • e

p

  • e

p

u u u

  • p

u

e

u

u (cm) t (s) t u

IICTG.org IICTG.org Mechanics analysis method

  • Model 1 “Rigid wheel elastic half-space "

1 “

x y z r

E

  • F

The rigid wheel and elastic half space must be in close contact and can not bounce!

  • IICTG.org

IICTG.org

2 2 2 2 2 2 xy x zx y xy zy yz xz z

u x y z t v y x z t w z x y t

  • x

y z xy yz zx

u v w x y z v u w v u w x y y z z x

  • 1

1 [ ( )] 1 1 [ ( )] 1 1 [ ( )]

x x y z xy xy y y z x yz yz z z x y zx zx

E G E G E G

  • L

b h 2R

Kinetic equations Geometric equations Constitutive equations Boundary condition

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SLIDE 13

IICTG.org IICTG.org Dynamic solution

Step:

  • Solution to the problem: displacement response, velocity response and acceleration response.
  • Solving the inverse problem: also known as parameter identification. according to the system

identification theory, according to the measured vibration wheel response, compared with the calculated value, solution modulus and density.

  • Experimental verification: the identification of the parameters (modulus and density) compared with the

results of conventional tests, meet the engineering accuracy requirements.

  • Application of the key: quick to solve, to solve the inversion parameters are not unique.
  • a
  • IICTG.org

IICTG.org Static solution

F L b h 2R yx x zx xy y zy yz xz z

x y z x y z x y z

  • = 0

a

  • Statics equation

Boundary condition

IICTG.org IICTG.org

Static solution is simpler than the kinetic solution, and it can get the modulus - such as EVIB

——EVIB

Courtesy of Bomag

( , , , , ) b b F L R E

  • ( , , , ,

) F L b E

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SLIDE 14

IICTG.org IICTG.org

k2 c2

Psin

  • u1

M2 M1

  • u2

k1 c1

  • Model 2 “Mass spring damping"

2 “

The rigid wheel and the filling body must be in close contact, can not bounce. Part of the filling body to participate in vibration, modeling should consider the quality of vibration.

  • Mechanics analysis method
  • IICTG.org

IICTG.org

Simplifying: without taking into consideration the quality of the filling body

  • [

][ ] [ ][ ] [ ][ ] [ ] M u K u C u P

  • 1

1 2 1 1 2 1 1 2 1 1 2

[ ] [ ] [ ] M K K C C M K C M K K K C C C

  • 1

1 1 2 2 2

[ ] [ ] [ ] [ ] sin u u u u u u P u u u P t

  • KsK2=?

IICTG.org IICTG.org Approximate relation

  • (

, , , , , , )

B B

K K M f P C x x x

  • 2

0 0 cos s d d

m e k m z

slide-15
SLIDE 15

IICTG.org IICTG.org

Stiffness and modulus conversion

  • F

F

K E C

IICTG.org IICTG.org

  • Model 3 “Rigid wheel fill body" and " rigid wheel elastic half space "

3 “

M

sin P t

  • ( )

F u

sin ( , )

r

F P t Mg Mf u

VCV

  • est

E

  • F

Mechanics analysis method

  • Fr

Psint

Control system Fr Drum Roller Filling Feedback Control Eest Psint Fr Feedback Control

  • IICTG.org

IICTG.org

  • Model 4 Rolling resistance coefficient

4

f

  • O

F G

e

p

h h h

  • F

f G

  • f =C1

f =C2 f =C3 f =C4

f can be used as an objective index

  • f the degree of compaction of the

materials.

(Zhang Shiying, "road machinery engineering", Chinese Mechanical Industry Press, 1998)

Mechanics analysis method

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SLIDE 16

IICTG.org IICTG.org

MDP

  • sin

g

a MDP P WV mV b g

  • 0.5

0.5 1 1

1 ( ) 3 1

e e

F f G G Cb D h h h h F Cb

  • 1

(1 )(1 / 3)

p

F h f G D

  • =

e p p

e

h h h h h

  • e

p e

h h h h

  • IICTG.org

IICTG.org Response analysis method

  • Harmonic ratio 1
  • t

t

IICTG.org IICTG.org

  • A

A C CMV

2

CMV - Compaction Meter Value

  • A

A C CMV

2

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SLIDE 17

IICTG.org IICTG.org

Application conditions for CMV CMV

IICTG.org IICTG.org

CCV - Compaction Control Value

Response analysis method

  • Harmonic ratio 2
  • IICTG.org

IICTG.org

EDV – Estimated Density Value

This defines the expected range of density The NN aligns this range and uses the compaction data from the IMU to compare against the default vibration profiles to estimate the % relative density … At each of the 3 core locations, the pre-calibrated density is estimated by the NN

Raw Calibration Min – Max Density

Neural Network (NN)

Input

Compaction data

Accelerometer (IMU)

Output

Min Min Min Mi Min Mi Mi Min Min Min Mi Mi Min Min Mi M n n n n n n – Max De Max De ax De ax De ax De ax De ax De Max De ax De ax De ax De x De Max De ax De ax De ax De x D Max De ax De ax De ax Density nsity nsity nsity nsity nsity nsity nsity nsity sity nsity nsity nsit sity nsity nsity nsity nsity nsity ty nsity M Raw Ca Raw Ca Raw Ca Raw Ca Raw Ca Raw Ca Raw Ca Raw Ca Raw Ca Raw C Raw Ca Raw C Raw Ca Raw Ca aw Ca Raw Ca Raw Ca Raw Ca Raw Ca aw Ca Raw Calibrat librat ibrat librat librat libr ibrat brat brat librat librat libra librat libra r ibrat librat brat librat librat libration

  • ion

ion ion

  • ion
  • n

ion ion

  • n

ion

  • ion
  • n

ion io ion i

Other methods

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SLIDE 18

IICTG.org IICTG.org

  • Mechanics analysis method

Model 1 “Rigid wheel elastic half space body“ Model 2 "mass spring damping“ Model 3 "rigid wheel fill body" and " rigid wheel elastic half space body" Model 4 Rolling resistance coefficient

  • Response analysis method

Harmonic ratio 1 Harmonic ratio 2

  • Other methods

/

vib

E E

B

K K

  • /

r est

F E VCV

  • /

f MDP CMV CCV EDV

IICTG.org IICTG.org

  • IICTG.org

IICTG.org

  • 20 in.

5 ft 0.5 m 1.2 m

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SLIDE 19

IICTG.org IICTG.org

E1 E2 .

. .

En E En=?

IICTG.org IICTG.org

CCC & INTELLIGENT COMPACTION

  • BY
  • DR. GEORGE K. CHANG, PROF. GUANGHUI XU

, IICTG FOUNDERS

  • IICTG.org

IICTG.org

SECTION 3 SPECIFICATIONS

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SLIDE 20

IICTG.org

GOALS OF IC SPEC

  • More Comprehensive Inspection
  • Increase Construction Efficiency
  • Develop a Link to Design
  • Improve Pavement Performance
  • Improve Safety

IICTG.org IICTG.org

SPECIFICATIONS FOR CCC AND IC

  • Swedish Road Administration
  • Federal Ministry of Transport of the Federal Republic of Germany
  • The Austrian Federal Road Administration
  • Finland
  • International Society for Soil Mechanics and Geotechnical

EngineeringISSMGE

  • China Railway and Road Administration
  • USA

IICTG.org IICTG.org

SPECIFICATIONS FOR CCC AND IC

  • Austria (in 1990,with revisions in 1993 and 1999)
  • Germany (1994, with revision in 1997–2009)
  • Sweden (1994, with revision in 2004)
  • China2011,2015,2016
  • USA
  • The ISSMGE recently developed recommended construction

specifications based primarily on the Austrian specifications.

Specifications to use roller-integrated measurement systems for CCC have been introduced in 1990's.

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SLIDE 21

IICTG.org IICTG.org GERMAN

  • ZTVE-StB 94, „Zusätzliche Technische Vertragsbedingungen und

Richtlinien für Erdarbeiten im Stra§enbau".

  • TB BF-StB Teil E 2 „Flächendeckende dynamische Prüfung der

Verdichtung", Ausgabe 1994, FGSV591/E2.

  • TB BF-StB Teil E 3 „Prüfung der Verdichtung durch

Probeverdichtung und Arbeitsanweisung“, Ausgabe 1994, FGSV591/E3.

IICTG.org IICTG.org Finland

  • Tienrakennustiden yleiset laatuvaatimukset ja tyselitykset, Tielaitos, Helsinki

1994

Sweden

  • ATB Väg 2004, Kapitel E - Obundna material VV Publikation 2004:111.
  • Yttäckande packningskontroll Metodbeskrivning 603:1994.

Austria

  • Richtlinien für Verkehr und Stra§enwesen RVS 8S.02.6: „Kontinuierlicher

walzenintegrierter Verdichtungsnachweis“, Juli 1993, FVS.

  • …NORM S 2074 Teil 2, Nov. 1990, „Geotechnik im Deponiebau, Erdarbeiten“.;

IICTG.org IICTG.org CHINA

  • Technical Specification for Continuous Compaction Control of Fill Engineering of

Railway SubgradeTB10108-2011

  • Technical Specification for Continuous Compaction Control of Fill Engineering of

Railway SubgradeQ/CR 9210-2015

  • Technical condition for continuous compaction control system of fill engineering
  • f subgrade for highway 2016 Approving

USA

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SLIDE 22

IICTG.org IICTG.org

GERMAN SPECIFICATIONS

Calibration Approach (Method M2 in German Specifications)

IICTG.org IICTG.org

CCC to Identify Weak Areas for Spot Testing

IICTG.org IICTG.org

SWEDEN – SOILS IC (1994~)

  • Vibratory or oscillating single-drum roller. Min. linear load 15–30
  • kN. Roller-mounted compaction meter optional
  • Thickness of largest layer 0.2–0.6 m.
  • Layer shall be homogenous and non-frozen. Protective layers < 0.5

m may be compacted with sub-base.

  • Bearing capacity or degree of compaction requirements may be
  • met. Mean of compaction values for two inspection points 89%

for sub-base under roadbase and for protective layers over 0.5 m thick; mean should be 90% for roadbases. Required mean for two bearing capacity ratios varies depending on layer type.

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SLIDE 23

IICTG.org IICTG.org

GERMANY – SOILS IC (1994~)

  • Self-propelled rollers with rubber tire drive are preferred; towed

vibratory rollers with towing vehicle are suitable.

  • Each calibration area must cover at least 3 partial fields ~20 m.

long

  • Level and free of puddles. Similar soil type, water content, layer

thickness, and bearing capacity of support layers. Track overlap 10% machine width

  • The correlation coefficient resulting from a regression analysis

must be 0.7. Individual area units (the width of the roller drum) must have a dynamic measuring value within 10% of adjacent area to be suitable for calibration.

IICTG.org IICTG.org

AUSTRIA – SOILS IC (1999~) (1/2)

  • Vibrating roller compactors with rubber wheels and smooth drums

suggested

  • 100 m long by the width of the site
  • No inhomogeneities close to surface (materials or water content).

Track overlap 10% drum width.

  • Correlation coefficient 0.7. Minimum value 95% of Ev1, and

median should be 105% (or 100% during jump mode).

IICTG.org IICTG.org

AUSTRIA – SOILS IC (1999~) (2/2)

  • Dynamic measuring values should be lower than the specified

minimum for 10% of the track.

  • Measured minimum should be 80% of the set minimum.

Measured maximum in a run cannot exceed the set maximum (150% of the determined minimum). Standard deviation (of the median) must be 20% in one pass.

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SLIDE 24

IICTG.org IICTG.org

ISSGE – SOILS IC (2005~) (1/2)

  • Roller chosen by experience
  • 100 m by the width of the site
  • Homogenous, even surface. Track overlap 10% drum width.
  • Correlation coefficient 0.7. Minimum value 95% of Ev1, and

mean should be 105% (or 100% during jump mode).

IICTG.org IICTG.org

ISSGE – SOILS IC (2005~) (2/2)

  • Dynamic measuring values should be lower than the specified

minimum for 10% of the track.

  • Measured minimum should be 80% of the specified minimum.
  • Standard deviation (of the mean) must be 20% in one pass.

IICTG.org IICTG.org

CHINA - SOILS IC (2011, 2015 2016)

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SLIDE 25

IICTG.org IICTG.org

CHINESE RAILWAY SOILS IC SPEC

Equipment check Process control Quality test

1 2 3 4

Control the vibration performance of the vibratory roller Determine the correlation between VCV and conventional spot tests Determining the spatial distribution of VCV and weak areas Compaction degree, uniformity and stability control during rolling process

Correlation verification

IICTG.org IICTG.org

Equipment check Chinese CCC Standards

0.5Hz 4.0 / f f v km h

  • Very important

IICTG.org IICTG.org

  • Equipment check

Chinese CCC Standards

2 4 6 8 10 220 240 260 280 300 320

Rated exciting force Actual exciting force

P (KN) No

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SLIDE 26

IICTG.org IICTG.org

  • Selection of vibratory roller

Vertical vibratory roller vibratory roller

Chinese CCC Standards

IICTG.org IICTG.org

Chinese CCC Standards

Compaction data transmission and management

IICTG.org IICTG.org

Correlation verification

0.70 18 r n

  • VCV

[VCV]

x [x] High Med Low

[x]——Qualified value of conventional tests [VCV]——VCV target value

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SLIDE 27

IICTG.org IICTG.org

Compaction degree control ——Control of the physical and mechanical properties of the

compacted materials to achieve the level of the specified value to achieve sufficient strength and rigidity to support the upper structure.

Compaction uniformity control——Control of the physical and mechanical properties

  • f the compacted materials to achieve the uniform support for the upper structure.

Compaction stability control——Control the stability of the physical and mechanical

properties of the compacted materials to support the upper structure under the designed loading (avoid fatigue cracking).

Process control

IICTG.org IICTG.org

Compaction degree control

[VCV] <[VCV] 01 02 03 04

  • xx

10 20 30 40 50 60 70 80 90 100

Relevant Information

  • [VCV]xxx

Passing rate: xx%

Distribution Diagram of Compaction Degree

Total area: xxxx

2

m

  • +

Target line

Relevant Information

  • [VCV]XXX

Vibratory Compaction Curve of XX Wheelmark

L VCV [VCV] <[VCV] [VCV] VCVi

2

1.0m

VCV [VCV]

i

  • IICTG.org

IICTG.org

Compaction uniformity control

i

VCV 0.80VCV

  • 0.80 average value line

Relevant Information

  • Vibratory Compaction Curve of XX Wheelmark

Average value line

Average value line 0.80 average value line

VCV L

: VCV

XXX

0.80VCV

  • 0.80VCV
  • VCVi

VCV 0.80VCV

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SLIDE 28

IICTG.org IICTG.org

Compaction stability control

Relevant Information

  • Vibratory Compaction Curve of XX Wheelmark
  • n+1-th pass

n-th pass

VCV L

1

3%

i i i

VCV VCV VCV

  • IICTG.org

IICTG.org

The actual distribution of VCV can be decomposed into combination of various normal

  • distributions. Thus, the weak areas can be identified.

Distribution Diagram of Compaction State

Quality test

IICTG.org IICTG.org

01 02 03 04

  • xx

10 20 30 40 50 60 70 80 90 100

Relevant Information

  • Distribution Diagram of Compaction State

: VCV

  • xxx

xxx xxx xxx xxx

Weak area

Weak points are checked

Quality test

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SLIDE 29

IICTG.org IICTG.org

  • For the majority of embankment materials (esp. coarse aggregate), density, foundation

coefficient, modulus do not follow normal distributions. Therefore, limited spot tests are often not representative of the compacted areas.

  • The key issue is how to select the locations for spot tests.
  • As long as there is satisfactory correlation between VCV and spot tests, VCV can be

used for acceptance. In case of spot tests within weak areas pass the acceptance criteria, the remaining compacted areas will be considered pass, too. Thus, the risk an be minimized.

Selective spot testing within weak areas

Chinese CCC Standards

IICTG.org IICTG.org Compaction Quality Report IICTG.org IICTG.org Compaction Quality Report

slide-30
SLIDE 30

IICTG.org IICTG.org

USA ASPHALT AND SOILS IC (2012 ~)

AASHTO FHWA Soils/Asphalt IC

IICTG.org IICTG.org

US NCHRP SOILS IC SPEC OPTIONS

  • 1. Roller based QC with pre-selected ICMV target values
  • 2. ICMV maps to target locations for QA test measurements
  • 3. ICMV target values from compaction curves to target locations

for QA point measurements

  • 4. Calibration of ICMV measurements to QA point measurements
  • 5. Performance based QA specification with incentive based

payment

IICTG.org

COMPONENTS OF IC SPEC

  • 1. IC System Requirements
  • 2. IC Data Requirements
  • 3. Quality Control Plan
  • 4. Training Requirements
  • 5. GNNS/Datum Requirements
  • 6. Test Sections and Target Values
  • 7. QC for Production Areas
  • 8. Payment and Measurements
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SLIDE 31

IICTG.org IICTG.org

US STATE DOT IC SPECS

CA AZ CO NM TX OK AR LA MO KY AL GA FL VA OH MI VT AK VI MT NV Guam ME WA OR UT KS ID WY ND SD MN NE WI IA IL IN MS TN SC NC WV PA NY CT NJ DE MD PR HI NH MA RI

Asphalt Soils Asphalt + Soils

DC

IICTG.org IICTG.org

US MNDOT IC IMPLEMENTATION PLAN

2014 (10%) 2015 (10-15%) 2016 (40-50%) 2017 (50-75%) 2018 (100%)

Percent of MnDOT Projects meeting project selection requirements. (Earthwork and Asphalt Pavements)

1st Year – Implementation

  • f Veda

IICTG.org IICTG.org

  • BY
  • DR. GEORGE K. CHANG, PROF. GUANGHUI XU

, IICTG FOUNDERS

slide-32
SLIDE 32

IICTG.org IICTG.org SECTION 4 CCC/IC FOR ROCK AND SOIL

  • IICTG.org

IICTG.org

Application of CCC and IC in the construction of high speed railway is more in China .

  • IICTG.org

IICTG.org

An example of high speed railway subgrade in China

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SLIDE 33

IICTG.org IICTG.org

  • IICTG.org

IICTG.org Step

Equipment check Correlation verification Process control Quality test

  • areas
  • IICTG.org

IICTG.org

0.5Hz f f

  • Equipment

check

  • Clear principle
  • Clear index
  • r 0.70
  • Good application effect

2 4 6 8 10 220 240 260 280 300 320 Rated exciting force Actual exciting force

P (KN) No

slide-34
SLIDE 34

IICTG.org IICTG.org

Correlation verification

?

Results Results

IICTG.org IICTG.org

  • Process

control

  • Control of the physical and mechanical properties of the compacted materials

to achieve the level of the specified value to achieve sufficient strength and rigidity to support the upper structure. Control of the physical and mechanical properties of the compacted materials to achieve the uniform support for the upper structure. Control the stability of the physical and mechanical properties of the compacted materials to support the upper structure under the designed loading (avoid fatigue cracking).

IICTG.org IICTG.org

VCV [VCV]

i

Compaction degree control

  • The passing rate
  • Target line

Relevant Information

  • [VCV]XXX

Vibratory Compaction Curve of XX Wheelmark

L VCV [VCV] <[VCV] [VCV] VCVi

2

1.0m [VCV] <[VCV] 01 02 03 04

  • xx

10 20 30 40 50 60 70 80 90 100

Relevant Information

  • [VCV]xxx

Passing rate: xx%

Distribution Diagram of Compaction Degree

Total area: xxxx

2

m

  • +
slide-35
SLIDE 35

IICTG.org IICTG.org

2 Passes 3 Passes 5 Passes 6 Passes 7 Passes

IICTG.org IICTG.org

Compaction uniformity control

  • i

VCV 0.80VCV

  • 0.80 average value line

Relevant Information

  • Vibratory Compaction Curve of XX Wheelmark

Average value line

Average value line 0.80 average value line

VCV L

: VCV

XXX

0.80VCV

  • 0.80VCV
  • VCVi

VCV 0.80VCV

IICTG.org IICTG.org

Distribution Diagram of Compaction uniformity

slide-36
SLIDE 36

IICTG.org IICTG.org

Compaction stability control

  • Relevant Information
  • Vibratory Compaction Curve of XX Wheelmark
  • n+1-th pass

n-th pass

VCV L 1 i i i

VCV VCV VCV

  • IICTG.org

IICTG.org

Quality test

The actual distribution of VCV can be decomposed into combination of various normal distributions. Thus, the weak areas can be identified.

  • Distribution Diagram of Compaction State

IICTG.org IICTG.org

Distribution Diagram of Compaction Degree Distribution Diagram of Compaction State Distribution Diagram of Compaction State

slide-37
SLIDE 37

IICTG.org IICTG.org

01 02 03 04

  • xx

10 20 30 40 50 60 70 80 90 100

Relevant Information

  • Distribution Diagram of Compaction State

: VCV

  • xxx

xxx xxx xxx xxx

Weak area

IICTG.org IICTG.org

  • Critical point effect

In the vicinity of the critical value there is a VCV corresponding to a number of K30, or a K30 corresponding to a number of VCV, at this time with the conventional detection. Due to the dispersion of statistical relations

IICTG.org IICTG.org

Compaction document transmission and management

slide-38
SLIDE 38

IICTG.org IICTG.org Advantage

  • 100m

80m

VCV 330-340 VCV 370-380

  • VCV

L

Testing of the entire rolling surface, To prevent inadequate compaction and conventional detection.

IICTG.org IICTG.org

Optimize the number of roller compacted to avoid excessive compaction

  • VCV

Passes 1 2 3 4 5 6 7

7 Passes 5 Passes Test section

  • Construction section
  • IICTG.org

IICTG.org

Recognition compaction property of filling

  • VCV

Passes 1 2 3 4 5 6 7

slide-39
SLIDE 39

IICTG.org IICTG.org

Reasonable gradation

  • Unreasonable gradation
  • IICTG.org

G.org

About correlation

  • IICT

Only the test results of roller are consistent with the results of conventional test, and can be used in the rolling quality control. r r

?

Results Results

IICTG.org IICTG.org

Relation between correlation coefficient and data dispersion degree

slide-40
SLIDE 40

IICTG.org IICTG.org

Applicability of control index influence correlation

  • Intelligent Compaction and In-Situ Testing at Mn/DOT TH53 MN/RC-2006-13

IICTG.org IICTG.org

Japan Construction Institute of Civil Engineering 1992

10 15 20 25 30 35 40 45 50 55 2 3 4 5 6 7 8 A (mV) f (Hz) 20 40 60 80 100 120 140 2 4 6 8 10 12 A (mV) f (Hz)

16 Passes 2 Passes

CMV=

IICTG.org IICTG.org

China's high speed railway

  • 2008—2011
slide-41
SLIDE 41

IICTG.org IICTG.org

Detection range influence correlation

  • The characteristics of each filling layer not only affect the correlation, but also

affect the accuracy of the compaction data.

  • VCV

L

  • soft

hard soft hard

IICTG.org IICTG.org

Filling material characteristics influences correlation

  • r 0.80
  • Proper compaction efforts

Adequate aggregate gradation Adequate moisture content

IICTG.org IICTG.org

  • r = 0.700.80
  • Compaction effort is satisfactory
  • Satisfactory course aggregate gradation
  • Variable moisture contents in fine aggregates
slide-42
SLIDE 42

IICTG.org IICTG.org

  • r < 0.70
  • Unsatisfactory compaction effort
  • Inadequate coarse aggregate gradation
  • Inadequate moisture contents in fine aggregate

IICTG.org IICTG.org

CCC & INTELLIGENT COMPACTION

  • BY
  • DR. GEORGE K. CHANG, PROF. GUANGHUI XU

, IICTG FOUNDERS

  • IICTG.org

IICTG.org

SECTION 5 IC/CCC FOR ASPHALT

slide-43
SLIDE 43

IICTG.org IICTG.org

ASPHALT IC

Courtesy of HAMM

IICTG.org

DOUBLE DRUM IC ROLLERS

IICTG.org

IC RETROFIT SYSTEM

II

slide-44
SLIDE 44

IICTG.org IICTG.org

VARIOUS ICMV

IICTG.org IICTG.org

EDV – ESTIMATED DENSITY VALUE

IICTG.org

ASPHALT IC STILL EVOLVING

slide-45
SLIDE 45

IICTG.org IICTG.org

DENSITY VS ICMV (STIFFNESS)

IICTG.org IICTG.org

FACTORS AFFECTING ASPHALT COMPACTION

II IICTG.org US FHWA IC & IN-PLACE ASPHALT STUDY (2012-2014)

slide-46
SLIDE 46

IICTG.org IICTG.org

FIELD TEST PLAN N

IICTG.org IICTG.org

9 sites 515 cores!

CORING OPERATION

IICTG.org IICTG.org

OPTIMUM COMPACTION WINDOW

CA

slide-47
SLIDE 47

IICTG.org IICTG.org

NDG DENSITY VS ICMV

ME

Breakdown Final Coverage

IICTG.org IICTG.org

100 120 140 160 180 200 220 240 260 280 1 2 3 4 5 6 84 86 88 90 92 94 96 98 100 102

[%] Passes [MN/m²], [°C]

Evib Surface temp. Core temp. Troxler density

IICTG.org

ASPHALT ICMV VS. DENSITY

  • FHWA IC demo in CA

200 205 210 215 220 225 230 90.5 91 91.5 92 92.5 93 93.5 1 2 3 4 5 Evib (%Gmm) NG Density (%Gmm) Passes NG Evib y = 0.099x + 70.665 R² = 0.9663 91.4 91.6 91.8 92 92.2 92.4 92.6 92.8 93 93.2 210 215 220 225 230 NG density (%Gmm) Evib (MPa)

Only during breakdown or intermediate compaction

slide-48
SLIDE 48

IICTG.org IICTG.org

NDG DENSITY VS ICMV

breakdown Intermediate

IICTG.org IICTG.org

IC-BASED DENSITY MODEL

(, ) = 0 + ( 0) ×

1(,)+2(,)+3(,)+4((,))

  • + ()

Considering Initial density (pass 0) Gmm ICMV Vibration Frequency Roller Speeds Mat Temperatures Reference temperature Heterogeneous Panel-Data Multivariate Nonlinear Model

IICTG.org IICTG.org

ME

IC-BASED HMA DENSITY MODEL

slide-49
SLIDE 49

IICTG.org IICTG.org

FIELD PROCEDURE FOR CALIBRATION OF HMA DENSITY MODEL

IICTG.org IICTG.org

FHWA/TXDOT IC RETROFIT EVALUATION (2012-2013)

El Dorado Hills, CA

Asphalt Rodeo IICTG.org IICTG.org

INSTALLATION OF ACCELEROMETERS

IC Retrofit OEM

slide-50
SLIDE 50

IICTG.org IICTG.org

VERIFICATION KIT AND FIELD INSTRUMENTATION

IICTG.org IICTG.org

ICMV VERIFICATION

IICTG.org IICTG.org

IC INFLUENCE DEPTH

IIC

slide-51
SLIDE 51

IICTG.org IICTG.org

US NCHRP 24-45 IC STUDY (2015 ~ 2018)

IICTG.org IICTG.org

DE-COUPLED LAYER MODULI

Courtesy of Bomag

IICTG.org

IMPROVED ROLLING PATTERN

IN

QC Benefits of Asphalt IC

slide-52
SLIDE 52

IICTG.org IICTG.org IMPROVED CONSISTENCY AND EFFICIENCY

Courtesy of MNDOT

QC Benefits of Asphalt IC

IICTG.org

IMPROVED UNIFORMITY AND PERFORMANCE

Xu et. al., RILEM (2012)

QC Benefits of Asphalt IC

IICTG.org IICTG.org

CCC & INTELLIGENT COMPACTION

  • BY
  • DR. GEORGE K. CHANG, PROF. GUANGHUI XU

, IICTG FOUNDERS

slide-53
SLIDE 53

IICTG.org IICTG.org

  • IICTG.org

IICTG.org

Results from IC control and from conventional tests need to be well correlated

  • Passes of roller compaction is one of

the contents of the digital construction

  • IC must be able to control the

parameters of the filling body, and has good consistency with the results of the conventional control, especially for asphalt pavements.

VS

Results Results

VS

Results Results

IICTG.org IICTG.org

Control Different Aspects of Asphalt Compaction

slide-54
SLIDE 54

IICTG.org IICTG.org

Evaluating the effectiveness and correctness of different IC control systems

  • Each IC control system is different in principle, function, index and so on. The

control effects are different and need to be evaluated independently.

  • kb

CMV HMV EVIB CMV, EVIB CCV CPMS-VCV UIC—Fr, Eest

IICTG.org IICTG.org

Standard vibration equipment Standard test section

E0 E1 E2

  • IICTG.org

IICTG.org

IC measurements should provide layer-specific mechanical properties

  • E

E0 E1 E2

slide-55
SLIDE 55

IICTG.org IICTG.org

Integration of Internet, Cloud Technology and IC

  • IICTG.org

IICTG.org IC DATA MANAGEMENT AND STANDARDIZATION

  • Data Export

IICTG.org IICTG.org

Can IC replace the conventional tests? ?

  • Current IC measurements are not the same as conventional detection.
  • It is possible to replace conventional compaction quality control with IC control technology in the future.
  • In addition to measure compaction quality, conventional tests also include parameters for analysis and

calculation.

slide-56
SLIDE 56

IICTG.org IICTG.org

NATION Area of weak area Number of conventional tests SWEDEN 10m2 2 Spots/5000m2 GERMANY 10m2 3 Spots/5000m2 CHINA 5-10m2 1 Spots /100m AUSTRIA It only provides routine testing in weak areas.

Number of conventional tests for compacted weak area

IICTG.org IICTG.org

Understanding IC

  • IC is developed from the concept of early intelligent rollers, abbreviation of

intelligent compaction control (ICC), and subsequent development of CCC.

  • IC automatically adjust roller operating parameters based on the continuous

roller responses to optimize compaction.

Control system

  • IICTG.org

IICTG.org

Understanding IC

  • The modern IC is the organic combination and the comprehensive performance of the interaction of the

"filling body the compaction equipment control system", which is the core of the control system's function.

  • The control system not only provide feedback to the operators, but also automatically adjust the compaction

equipment parameters based on the levels of “intelligence”.

  • IC is still in the primary stage and expected to incorporate artificial intelligence and other technologies.

Control system Compaction equipment Filling body

slide-57
SLIDE 57

IICTG.org IICTG.org

  • Understanding IC
  • IC control system should——
  • include intelligence to learn, reason, deduce and make decisions.
  • manually or automatically adjust compaction operation based on the filling

characteristics.

  • carry out adaptive rolling operations with compaction equipment.

DEVELOPMENT OF IC EQUIPMENT

  • IICTG.org

IICTG.org

Understanding IC

  • IC key technologies
  • Identify the compaction state of the filling body based on roller responses
  • Identify the compactability of filling body
  • Control operating parameters of compaction equipment

DEVELOPMENT OF IC EQUIPMENT

  • IICTG.org

IICTG.org

  • Understanding IC
  • Future IC :

Driverless compaction equipment operated based on a work plan, real-time measurements of filling body related information, and automatically adjust and optimize compaction for utmost efficiency to achieve desired compaction quality. DEVELOPMENT OF IC EQUIPMENT

slide-58
SLIDE 58

IICTG.org IICTG.org

IICTG

  • IICTG.org

IICTG.org

ABOUT IICTG

  • International Intelligent Construction Technology Group
  • www.IICTG.org
  • A forum for intelligent construction technology experts around the world
  • Initially intelligent compaction and thermal profiling
  • Will extend to 3D design/modeling, AMG, BIM, and etc.
  • Biannual conferences
  • www.IICTG.org
  • /, BIM

IICTG.org IICTG.org

ABOUT IICTG MEBERSHIP

  • Welcome to join IICTG as members
  • Apply via IICTG website (www.IICTG.org)
  • www.IICTG.org)
slide-59
SLIDE 59

IICTG.org IICTG.org