DocumentCode
2590699
Title
Notice of Retraction
Small size asphalt mixture design based on fractal theory
Author
Cheng Ling ; Fan Gu ; Jie Chen
Author_Institution
Coll. of Transp., Southeast Univ., Nanjing, China
Volume
2
fYear
2010
fDate
28-31 Aug. 2010
Firstpage
409
Lastpage
413
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Small size asphalt mixture that usually refers to asphalt mixture with nominal maximum aggregate size (NMAS) of 4.75 mm and 9.5 mm, is widely used in preventative maintenance program and sidewalk projects. Based on fractal theory, the relationship between passing percentage of aggregate and fractal dimension was founded. Utmost grading fractal dimension, used to design the aggregate gradation, can be calculated based on the aggregate crushing rule. The optimal asphalt content of small size asphalt mixture is achieved through Marshall Design method. Drainage test and Canter test were used to examine the optimal asphalt content. According to the results of aggregate gradation and optimal asphalt content, small size asphalt mixture was obtained. Small size asphalt mixture was tested by the laboratory performance tests including wheel tracking test, skid resistance test and water stability test. Comparing with the performance of SMA5 and SMA10, the small size asphalt mixture designed by fractal theory has a better pavement performance.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Small size asphalt mixture that usually refers to asphalt mixture with nominal maximum aggregate size (NMAS) of 4.75 mm and 9.5 mm, is widely used in preventative maintenance program and sidewalk projects. Based on fractal theory, the relationship between passing percentage of aggregate and fractal dimension was founded. Utmost grading fractal dimension, used to design the aggregate gradation, can be calculated based on the aggregate crushing rule. The optimal asphalt content of small size asphalt mixture is achieved through Marshall Design method. Drainage test and Canter test were used to examine the optimal asphalt content. According to the results of aggregate gradation and optimal asphalt content, small size asphalt mixture was obtained. Small size asphalt mixture was tested by the laboratory performance tests including wheel tracking test, skid resistance test and water stability test. Comparing with the performance of SMA5 and SMA10, the small size asphalt mixture designed by fractal theory has a better pavement performance.
Keywords
aggregates (materials); asphalt; design engineering; fractals; mechanical testing; mixtures; road building; structural engineering; Canter test; Marshall design method; NMAS; aggregate crushing; aggregate gradation; drainage test; fractal theory; nominal maximum aggregate size; pavement performance; preventative maintenance; sidewalk projects; skid resistance test; small size asphalt mixture design; water stability test; wheel tracking test; Aggregates; Asphalt; Fractals; Resistance; Thermal stability; Three dimensional displays; Fractal theory; Gradation; Pavement performance; Small size asphalt mixture;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-8514-7
Type
conf
DOI
10.1109/IITA-GRS.2010.5603228
Filename
5603228
Link To Document