3D 모델링을 이용한 매설배관 결함 위치에 따른 전위구배 영향 분석
Analysis of Potential Gradient According to Defect Location in Buried Pipe Using 3D Modeling
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초록
The management process for buried pipelines typically follows a sequence that includes pre-assessment, indirect inspection, direct inspection, and post-assessment. One widely used method for detecting coating defects during the indirect inspection phase is Direct Current Voltage Gradient (DCVG). This method mea- sures the potential gradient created when current flows through areas with damaged coatings. While DCVG is highly accurate for detecting defects in single pipelines, such as gas or oil pipelines, its effec- tiveness diminishes in situations where pipelines cross or are layered. In this study, we analyzed the DCVG signals and potential gradient trends in scenarios involving multiple defects in either single or crossed pipelines, utilizing 3D modeling techniques. We first validated the reliability of our 3D model by com- paring the measured values from a mock-up test site with actual buried pipelines against the modeled val- ues. Subsequently, we assessed the model's reliability and examined the potential gradient distribution based on defect locations, particularly in cases involving crossed pipelines.
Abstract
The management process for buried pipelines typically follows a sequence that includes pre-assessment, indirect inspection, direct inspection, and post-assessment. One widely used method for detecting coating defects during the indirect inspection phase is Direct Current Voltage Gradient (DCVG). This method mea- sures the potential gradient created when current flows through areas with damaged coatings. While DCVG is highly accurate for detecting defects in single pipelines, such as gas or oil pipelines, its effec- tiveness diminishes in situations where pipelines cross or are layered. In this study, we analyzed the DCVG signals and potential gradient trends in scenarios involving multiple defects in either single or crossed pipelines, utilizing 3D modeling techniques. We first validated the reliability of our 3D model by com- paring the measured values from a mock-up test site with actual buried pipelines against the modeled val- ues. Subsequently, we assessed the model's reliability and examined the potential gradient distribution based on defect locations, particularly in cases involving crossed pipelines.
참고문헌 (11)
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