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Unveiling Turbulence-Induced Stress Dynamics in Dented Pipe Using Acoustic Emission and Time-Frequency Analysis
Syed Muhamad Firdaus1, Mazian Mohammad1,2, Abdul Rahim Othman1,2
1Institute of Sustainable Energy & Resources (ISER), Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Acoustic emission (AE) time-frequency analysis effectively detects and characterizes turbulence caused by pipeline dents. This method offers a reliable approach for assessing pipeline integrity and identifying flow anomalies.
Area of Science:
- Mechanical Engineering
- Non-destructive Testing
- Fluid Dynamics
Background:
- Dents are common pipeline defects impacting structural integrity and flow.
- Conventional inspection methods struggle to extract meaningful data from acoustic emission (AE) signals in dented sections.
Purpose of the Study:
- To investigate turbulence occurrence in dented pipe sections using AE time-frequency analysis.
- To correlate AE signal characteristics with flow-induced turbulence and dent severity.
- To establish AE analysis as a reliable method for pipeline integrity assessment.
Main Methods:
- AE signals were recorded during flow loop tests on pipes with varying dent depths (0%, 5%, 15%, 30%).
- Time-frequency analysis, specifically the Morlet wavelet transform, was applied to AE signal segments.
- Computational fluid dynamics (CFD) simulations were used to validate turbulence detection via Reynolds numbers.
Main Results:
- Signal energy in AE responses increased progressively with dent depth.
- A strong correlation (R² > 0.9) was found between wavelet coefficient energy and Reynolds number across signal segments.
- The study achieved a maximum signal energy of 2.54 × 10-08 μE2/Hz for the 30% dented pipe's end segment.
Conclusions:
- AE time-frequency analysis is a robust technique for identifying and characterizing dent-induced turbulence.
- This approach enhances the assessment of mechanical deformation effects on AE signals in pipelines.
- The findings support improved pipeline integrity monitoring and defect diagnosis.
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