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Detection of Debonding Defects in Concrete-Filled Steel Tubes Using Fluctuation Analysis Method
Chenfei Wang1,2,3, Yixin Yang1,3,4, Guangming Fan2,3
1College of Civil Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China.
This study introduces a wave propagation method using piezoelectric sensors to detect debonding defects in concrete-filled steel tube (CFST) structures. Different measurement techniques effectively identify debonding height and length, enhancing structural health monitoring.
Area of Science:
- Structural Engineering
- Materials Science
- Non-Destructive Testing
Background:
- Concrete-filled steel tube (CFST) structures are widely used in construction.
- Debonding defects can compromise the structural integrity and safety of CFST elements.
- Effective methods for detecting these defects are crucial for maintenance and repair.
Purpose of the Study:
- To develop and validate a comprehensive method for detecting debonding defects in CFST structures.
- To evaluate the effectiveness of different wave propagation measurement techniques.
- To establish a quantitative approach for defect assessment and structural health monitoring.
Main Methods:
- Utilized wave propagation analysis with externally attached piezoelectric ceramic sensors.
- Conducted experimental tests and numerical simulations.
- Employed flat and oblique measurement techniques to detect debonding defects of varying sizes.
- Introduced a normalized judgment index (DI) and developed a wavelet packet energy analysis model.
Main Results:
- The flat measurement method proved effective for detecting debonding height.
- The oblique measurement method was superior for detecting debonding length.
- Sensor spacing significantly influences detection accuracy.
- A linear relationship was established between wavelet packet energy and debonding size.
Conclusions:
- The proposed method provides a reliable approach for detecting debonding defects in CFST structures.
- Integrated use of flat and oblique measurement techniques enhances detection precision for both qualitative and quantitative analysis.
- The developed mathematical model offers a scientific basis for quantitative defect detection and structural health monitoring of CFST structures.
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