Joint Diseases Recognition of Cement Concrete Pavement Based on MATLAB Image Processing

被引：0

作者：

Yang Qin ^{[1
]}

Jiang Huajun ^{[1
]}

机构：

[1] Southwest Petr Univ, Coll Civil Engn & Architecture, Nanjing 610500, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 2011 INTERNATIONAL SYMPOSIUM - MULTI-FIELD COUPLING THEORY OF ROCK AND SOIL AND ITS APPLICATIONS IN EXPLOITATION AND UTILIZATION OF RESOURCES | 2011年

关键词：

Road engineering; Cement concrete pavement; Joint disease; Image processing;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The cement concrete pavement Joint diseases were recognized based on image processing platform of MATLAB software. Width of joints (delta), height of dislocation (Delta H), ratio of edge failure area to joint area (lambda(e)), and drop rate of joint sealant (lambda(t)) were calculated according to the image processing results. The joints failure coefficient (M) was introduced to evaluated joint performance. The results show that relative error of delta between the calculated value and measured value was not more than 6%, and relative error of Delta H was not exceeding 10%. The high accuracy was existed in the image processing method and can be satisfied the engineering requirement. The joints failure condition can be evaluated by the M value which calculated by Delta H, lambda(e), and lambda(t).

引用

页码：188 / 192

页数：5