Title :
Fractal features of cracking of self-monitoring asphalt concrete
Author :
Changjun Sun ; Shaopeng Wu ; Ning Tang ; Guoliang Sun ; Lei Chen ; Shaoxu Huang
Author_Institution :
Coll. of Mater. Sci. & Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Self-monitoring asphalt concrete has a good electrical behavior. The monitoring of damage is valuable for structural health monitoring and service life prediction. In this paper, the process of cracking of self-monitoring asphalt concrete cracks were quantitatively described by indirect tensile test and combination of mathematical fractal theory. The test results show that the distribution of self monitoring asphalt concrete crack has obviously statistical similarity, and cracks with a clear statistical significance of cracks on the fractal. There is a good congruent relationship among fractal dimension, resistance and deformation, which provides a new thought to the research of the cracking of self-monitoring asphalt concrete.
Keywords :
asphalt; concrete; condition monitoring; crack detection; fractals; remaining life assessment; statistical analysis; structural engineering; tensile strength; tensile testing; asphalt concrete; crack fractal features; damage monitoring; deformation; fractal dimension; indirect tensile testing; service life prediction; statistics; structural health monitoring; Asphalt; Carbon; Concrete; Fractals; Indexes; Optical fiber testing; Resistance; asphalt concrete; fractal feature; self-monitoring;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025505