1. Damage Diagnosis of Reactive Powder Concrete Under Fatigue Loading Using 3D Laser Scanning Technology
- Author
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Kexin Li, Jun Wang, and Dawei Qi
- Subjects
Materials science ,Laser scanning ,Feature extraction ,0211 other engineering and technologies ,Point cloud ,Second moment of area ,Image processing ,02 engineering and technology ,Theoretical Computer Science ,0203 mechanical engineering ,Image texture ,021105 building & construction ,gray level co-occurrence matrix ,Dykstra's projection algorithm ,texture analysis ,Numerical Analysis ,business.industry ,feature extraction ,3D laser scanning ,Structural engineering ,image processing ,Computational Mathematics ,020303 mechanical engineering & transports ,Computational Theory and Mathematics ,Structural health monitoring ,sense organs ,business ,damage monitoring - Abstract
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.
- Published
- 2019
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