Abstract
Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this paper, an active-sensing approach was conducted to identify the crack damage in pipeline structure using a stress wave propagation approach with piezoceramic transducers. A pipeline segment instrumented with five distributed piezoceramic transducers was used as the testing specimen in this research. Four cracks were artificially cut on the specimen, and each crack had six damage cases corresponding to different crack depths. In this way, cracks at different locations with different damage degrees were simulated. In each damage case, one piezoceramic transducer was used as an actuator to generate a stress wave to propagate along the pipeline specimen, and the other piezoceramic transducers were used as sensors to detect the wave responses. To quantitatively evaluate the crack damage status, a wavelet packet-based damage index matrix was developed. Experimental results show that the proposed method can evaluate the crack severity and estimate the crack location in the pipeline structure based on the proposed damage index matrix. The sensitivity of the proposed method decreases with increasing distance between the crack and the mounted piezoceramic transducers.
Highlights
Pipeline transportation plays an important role in the national economy, and it is the major means of transporting oil and gas
PZT-1 was used as the actuator, and the other PZT transducers were used as sensors
It can be seen from the experimental results that the time domain signal of PZT sensors provides very little quantitative information to evaluate crack characteristics
Summary
Pipeline transportation plays an important role in the national economy, and it is the major means of transporting oil and gas. Pipeline transportation offers continuous delivery of the energy, and it does not need load stroke and transportation system, which ensures a high transport efficiency. Cracks occur in the pipeline in service due to corrosion, fatigue, and inappropriate operations, which result in serious consequences including loss of property, personal injury, or even loss of lives and serious ecological pollution. Detection of the pipeline crack damage in real-time has become an important research topic to ensure the safety of pipeline transportation. The current methods for pipeline crack detection include: the magnetic flux leakage method [1,2], ultrasonic method, eddy current method, ray method [3,4], and magnetic method [5]. The above methods need technicians to Sensors 2017, 17, 1812; doi:10.3390/s17081812 www.mdpi.com/journal/sensors
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