Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (8): 98-102.

• Materials Science & Technology • Previous Articles     Next Articles

Fractal Analysis of Rebound Testing Data for Compression Strength of Concrete

HuXiao-fang  Hu Da-wei   

  1. School of Industrial Equipment and Control Engineering , South China Univ. of Tech. , Guangzhou 510640 , Guangdong , China
  • Received:2006-01-19 Online:2007-08-25 Published:2007-08-25
  • Contact: 胡小芳(1956-),男,教授,博士,主要从事粉体材料加工及其改性,碳素及二次电池材料研究. E-mail:123hudawei@ 163. com
  • About author:胡小芳(1956-),男,教授,博士,主要从事粉体材料加工及其改性,碳素及二次电池材料研究.
  • Supported by:

    广东省科技攻关项目(2005B10301051 )

Abstract:

Fractal theorγis of special merits in processing random and discrete data. When it is adopted to analyze the rebound testing data of random and discrete compression strength of concrete , much more reliable results can be obtained , as compared with the general regression method. In this paper , the Rebound Measuring Point PositionRebound Value curve (RPV curve) on a 2D coordinate plane is established , and the box-dimension calculation inethod is adopted to design a calculation program to obtain the fractal dimension of the RPV curve and to calculate the compression strength of concrete. The results show that there is a linear relationship between the fractal dimension of the RPV curve and the compression strength , and that the proposed method can calculate the compression strength without testing the carbonation depth. Moreover , it suits the compression strength testing of concrete with big volumes and thus offers a new simplified approach to the detection of the compression strength of concrete.

Key words: concrete, compression strength, rebound method, data analysis, fractal, RPV curve