Damage diagnosis of reactive powder concrete under fatigue loading using 3D laser scanning technology

被引：0

作者：

Li K. ^{[1
]}

Wang J. ^{[1
]}

Qi D. ^{[2
]}

机构：

[1] College of Civil Engineering, Northeast Forestry University, Harbin

[2] College of Science, Northeast Forestry University, Harbin

来源：

Algorithms | 2019年 / 12卷 / 02期

基金：

中国国家自然科学基金;

关键词：

3D laser scanning; Damage monitoring; Feature extraction; Gray level co-occurrence matrix; Image processing; Texture analysis;

D O I：

10.3390/A12120260

中图分类号：

学科分类号：

摘要：

Damage mechanisms of Reactive Powder Concrete (RPC) under fatigue loading are investigated using the 3D laser scanning technology. An independently configured 3D laser scanning system is used to monitor the damaging procedure. Texture analysis technique is also applied to enhance the understanding of the damage mechanisms of RPC under fatigue loading. In order to obtain the characteristic parameters of point cloud data, a point clouds projection algorithm is proposed. Damage evolution is described by the change of point cloud data of the damage in the 2D plane and 3D space during fatigue loading. The Gray Level Co-occurrence Matrix (GLCM) method is used to extract the characteristic parameters to evaluate the statue of the structural. Angular Second Moment and Cluster Shadow of typical sensitive characteristic indexes is screened by using the Digital Feature Screening. The reliability of the damage index was verified by image texture analysis and data expansion. Indexes extracted in this paper can be used as a new structural health monitoring indicator to assess health condition. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

引用

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