Abstract

The quality of compaction is important to the performance of hot mixed asphalt (HMA) pavement. Most premature failures of asphalt pavement are the consequence of poor compaction. The process control method of compaction was studied here. The allowable compaction time of HMA pavement was estimated through field measurement and computer simulation. An instantaneous compaction procedure was recommended according the environment conditions and behaviors of compaction machines. The passing route of each roller was obtained using the global positioning system real-time kinematic technique. High quality compaction was achieved by controlling the operation of rollers. A pavement compaction process monitoring system was introduced to collect all the compaction information, such as the passing numbers of rollers, paving speed of pavers, and area of pavement not be compacted in time and so on. Alarm messages would be sent to roller operators, contractors, and managers when any improper operations occurred during compaction.

Issue Section:
Technical Papers
Keywords:
allowable compaction time, compacting parameters, instantaneous compaction procedure, compaction process monitoring system

References

1.
Research Institute of Highway Ministry of Transportation
,
Technical Specification for Construction of Highway Asphalt Pavements JTG F40—2004
,
China Communications Press
,
Beijing, China
,
2004
.
2.
Mix Design Methods for Asphalt Concrete and Other Hot-Mix Types (MS-2)
, 2nd ed.,
Asphalt Institute
,
Lexington, KY
,
1962
.
3.
Jordan
,
P.G.
 and
Thomas
,
M.E.
,
Prediction of Cooling Curves for Hot-Mix Paving Materials by a Computer Program
, Transport & Road Research Laboratory (Great Britain), Berkshire, UK, TRRL Report,
1976
.
4.
Brown
,
J.R.
,
The Cooling Effects of Temperature and Wind on Rolled Asphalt Surfacing
, Transport & Road Research Laboratory (Great Britain), Berkshire, UK, TRRL Report,
1980
.
5.
Yildirim
,
Y.
,
Solaimanian
,
M.
, and
Kennedy
,
T.W.
, “
Mixing and Compaction Temperatures for Superpave Mixes
,”
J. AAPT
, Vol. 
69
,
2000
, pp. 
34
–
71
.
6.
Hensley
,
J.
 and
Parmer
,
A.
, “
Establishing Hot Mix Asphalt Mixing and Compaction Temperatures at the Project Level
,”
Asphalt
, Vol. 
12
, No. 
2
,
1998
, pp. 
19
–
23
.
7.
Bahia
,
H.U.
,
Fahim
,
A.
, and
Nam
,
K.
, “Prediction of Compaction Temperature Using Binder Rheology,”
Transportation Research Circular E-C105: Factors Affecting Compaction of Asphalt Pavements
,
Transportation Research Board
,
Washington, D.C.
,
2006
, pp. 
3
–
17
.
8.
Shi
,
X.
,
Li
,
Y.
, and
Zhang
,
J.
, “
Analysis of Rolling Temperature Field and Effective Compaction Time of Asphalt Pavement
,”
J. Highw. Transp. Res. Dev.
, Vol. 
30
, No. 
6
,
2013
, pp. 
17
–
22
.
9.
Liu
Ke
, “
Theoretical Study on the Compacting Temperature Distribution, the History and the Density of Hot Asphalt Mixture
,”
J. Transp. Sci. Eng.
, Vol. 
28
, No. 
4
,
2012
, pp. 
8
–
15
, https://doi.org/10.16544/j.cnki.cn43-1494/u.2012.04.004
10.
Gao
,
Y.
,
Wang
,
R.
, and
Yu
,
W.
, “
Effective Compactible Time of Asphalt Pavement
,”
Adv. Mat. Res.
, Vols. 
255–260
,
2011
, pp. 
3156
–
3160
.
11.
Hossain
,
M.
,
Mulandi
,
J.
,
Keach
,
L.
,
Hunt
,
M.
, and
Romanoschi
,
S.
, “
Intelligent Compaction Control
,” presented at the
Airfield and Highway Pavements Specialty Conference
, Atlanta, GA, April 30 through May 3,
2006
,
American Society of Civil Engineers
,
Reston, VA
, pp. 
304
–
316
, https://doi.org/10.1061/40838(191)26
Google Scholar
Crossref
Search ADS
 
12.
Button
,
J.W.
,
Little
,
D.N.
,
Jagadam
,
V.
, and
Pendleton
,
O.J.
, “
Correlation of Selected Laboratory Compaction Methods with Field Compaction
,”
Transp. Res. Rec.
,
1994
, pp. 
193
–
201
.
13.
Gregorski
,
T.
, “
Compaction Rollers and Testing Equipment Work to Provide a Quality Road Surface
,” Road and Bridge, https://web.archive.org/web/20170926154119/https://www.roadsbridges.com/compaction-rollers-and-testing-equipment-work-provide-quality-road-surface (accessed 26 Sept. 2017).
14.
Hu
,
J.
 and
Zhang
,
X.
, “
Application of Intelligent Compaction in Asphalt Pavement Construction
,”
Northern Transportation
, No. 
11
,
2015
, pp. 
91
–
96
, https://doi.org/10.15996/j.cnki.bfjt.2015.11.024
15.
Masad
,
E.
,
Jandhyala
,
V.K.
,
Dasgupta
,
N.
,
Somadevan
,
N.
, and
Shashidhar
,
N.R.
, “
Characterization of Air Void Distribution in Asphalt Mixes using X-ray Computed Tomography
,”
J. Comput. Civ. Eng.
, Vol. 
14
, No. 
2
,
2002
, pp. 
122
–
129
, https://doi.org/10.1061/(ASCE)0899-1561(2002)14:2(122)
16.
Liu
,
W.
 and
Gao
,
Y.
, “
Discrete Element Modeling of Migration and Evolution Rules of Coarse Aggregates in the Static Compaction Process
,”
J. Southeast University (English Edition)
, Vol. 
32
, No. 
1
,
2016
, pp. 
85
–
92
.
17.
Crispino
,
M.
,
Mariani
,
E.
, and
Rampini
,
R.
, “
Increasing Asphalt Pavements Durability through Accurate Construction: A Model for Compaction Design
,”
Struct. Infrastruct. Eng.
, Vol. 
7
, No. 
1
,
2011
, pp. 
177
–
186
, https://doi.org/10.1080/15732471003588767
18.
Beainy
,
F.
,
Commuri
,
S.
, and
Zaman
,
M.
, “
Dynamical Response of Vibratory Rollers during the Compaction of Asphalt Pavements
,”
J. Eng. Mech.
, Vol. 
140
, No. 
7
,
2014
, https://doi.org/10.1061/(ASCE)EM.1943-7889.0000730
19.
Kassem
,
E.
,
Liu
,
W.
,
Scullion
,
T.
,
Masad
,
E.
, and
Chowdhury
,
A.
, “
Development of Compaction Monitoring System for Asphalt Pavements
,”
Constr. Build. Mater.
, Vol. 
96
,
2015
, pp. 
334
–
345
, https://doi.org/10.1016/j.conbuildmat.2015.07.041
Google Scholar
Crossref
Search ADS
 
20.
Commuri
,
S.
,
Mai
,
A.T.
, and
Zaman
,
M.
, “
Neural Network-Based Intelligent Compaction Analyzer for Estimating Compaction Quality of Hot Asphalt Mixes
,”
J. Constr. Eng. Manag.
, Vol. 
137
, No. 
9
,
2011
, pp. 
634
–
644
, https://doi.org/10.1061/(ASCE)CO.1943-7862.0000343
Google Scholar
Crossref
Search ADS
 
21.
Gallivan
,
V.L.
,
Chang
,
G.K.
, and
Horan
,
R.D.
, “
Practical Implementation of Intelligent Compaction Technology in Hot Mix Asphalt Pavements
,”
J. AAPT
, Vol. 
80
,
2011
, pp. 
1
–
32
.
22.
Zhang
,
L.M.
,
2014
, “
Research on Information-Based Control of Asphalt Pavement Compaction
,“ M. S. thesis,
Southeast University
, Nanjing, China.
23.
Nieves
,
A.
,
Intelligent Compaction
,
Federal Highway Administration
,
Washington, D.C.
,
2014
, https://www.fhwa.dot.gov/construction/pubs/hif13051.pdf
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