研究目的
To investigate the damage mechanisms of Reactive Powder Concrete (RPC) under fatigue loading using 3D laser scanning technology and texture analysis techniques.
研究成果
The 3D laser scanning technology effectively reveals the point cloud data features during the damage process of RPC under fatigue load conditions. The study provides a basis for the health monitoring of RPC structures, with the damage mechanism analyzed through extracted damage indexes. The system can be applied to the detection and diagnosis of the health status of other composite materials.
研究不足
The scanning system is limited to the detection of damaged areas inside the three-dimensional space that can be scanned by laser. It is necessary to use methods combined with other non-destructive testing new technologies to explore more comprehensive indicators for structural damage monitoring.
1：Experimental Design and Method Selection:
The study uses an independently configured 3D laser scanning system to monitor the damaging procedure of RPC under fatigue loading. Texture analysis techniques are applied to understand the damage mechanisms.
2：Sample Selection and Data Sources:
RPC specimens are prepared according to specific mix proportions and subjected to bending fatigue tests.
3：List of Experimental Equipment and Materials:
Includes a 3D laser scanning system composed of a 2D laser ranging sensor, sliding mold combination, bracket, control box, and computer. Materials include PO42.5 ordinary Portland cement, steel fibers, and a polycarboxylic acid high performance water reducing agent.
4：5 ordinary Portland cement, steel fibers, and a polycarboxylic acid high performance water reducing agent.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The RPC specimens undergo three-point bending fatigue loading tests. The 3D laser scanning system captures the damage process, and texture analysis is performed on the acquired images.
5：Data Analysis Methods:
The Gray Level Co-occurrence Matrix (GLCM) method is used to extract characteristic parameters from the damage images. Digital Feature Screening (DFS) is applied to select sensitive characteristic indexes.
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