• Advances in nano research
• /
• 제9권4호
• /
• pp.277-294
• /
• 2020

In current paper, nonlocal (NLT), nonlocal strain gradient (NSGT) and Gurtin-Murdoch surface/interface (GMSIT) theories with classical theory (CT) are utilized to investigate vibration and stability analysis of Double Walled Piezoelectric Nanosensor (DWPENS) based on cylindrical nanoshell. DWPENS simultaneously subjected to direct electrostatic voltage DC and harmonic excitations, structural damping, two piezoelectric layers and also nonlinear van der Waals force. For this purpose, Hamilton's principle, Galerkin technique, complex averaging and with arc-length continuation methods are used to analyze nonlinear behavior of DWPENS. For this work, three nonclassical theories compared with classical theory CT to investigate Dimensionless Natural Frequency (DNF), pull-in voltage, nonlinear frequency response and stability analysis of the DWPENS considering the nonlocal, material length scale, surface/interface (S/I) effects, electrostatic and harmonic excitation.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2005년도 제36회 하계학술대회 논문집 전기설비
• /
• pp.61-63
• /
• 2005

In present, most of underground metallic structures, especially gas pipeline, have adopted in order to protect against a corrosion. If a coating defect is be on the surface of gas pipeline, the pitting corrosion is occur normally. So, in the corrosion field, investigation of coating defect is very important activity. In this paper, DCVG(Direct Current Voltage Gradient) method which is can detect a coating defect of gas pipeline is introduced. And also, the assesment of coating defect position according to the position of temporary anode of ICCP(Impresed Current Cathodic Protection) system is presented.

• 한국압력기기공학회 논문집
• /
• 제19권2호
• /
• pp.93-101
• /
• 2023

In this study, a deep learning algorithm was used to diagnose electric potential signals obtained through CIPS and DCVG, used indirect inspection methods to confirm the soundness of buried pipes. The deep learning algorithm consisted of CNN(Convolutional Neural Network) model for diagnosing the electric potential signal and Grad CAM(Gradient-weighted Class Activation Mapping) for showing the flaw prediction point. The CNN model for diagnosing electric potential signals classifies input data as normal/abnormal according to the presence or absence of flaw in the buried pipe, and for abnormal data, Grad CAM generates a heat map that visualizes the flaw prediction part of the buried pipe. The CIPS/DCVG signal and piping layout obtained from the 3D finite element model were used as input data for learning the CNN. The trained CNN classified the normal/abnormal data with 93% accuracy, and the Grad-CAM predicted flaws point with an average error of 2m. As a result, it confirmed that the electric potential signal of buried pipe can be diagnosed using a CNN-based deep learning algorithm.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2023년도 학술발표회
• /
• pp.493-493
• /
• 2023

매설배관의 피복손상부 탐측법은 CIPS법, DCVG법 등 여러 방법이 있으며, 그중 우리나라에서는 DCVG법이 가장 많이 사용되고 있다. 피복손상탐측기술(DCVG)은 매설된 관로에 대하여 직류 전류로 인해 배관주변에 발생하는 전위구배를 측정하여 비굴착상태에서 관로의 피복손상부를 찾아내는 기술이다. 본 기술을 광역상수도 정밀안전진단 및 성능평가에 적용하였으며, 탐측된 위치에 대하여 위험도(%IR)를 예측하였다. 또한 손상의심부에 대한 굴착을 통해 피복손상부를 확인하였다. 본 기술의 신뢰성 및 상수도 분야에 큰 활용성을 확인하였다. 관경, 현장여건 등에 따른 조사 및 굴착에 일부 한계점을 보였으나, 향후 축적된 데이터를 바탕으로 매설된 관로의 손상을 사전에 확인하여 관로사고를 미연에 방지할 기술로 판단된다.

• Corrosion Science and Technology
• /
• 제19권5호
• /
• pp.265-280
• /
• 2020

External corrosion of buried pipes can be controlled using both coating and cathodic protection. However, deterioration of the coating can occur due to several reasons. The detection reliabilty of coating flaw detection methods is affected by interference such as metal objects connected to rectifiers and copper grids. When performing parallel direct current voltage gradient (DCVG) inspection, a sine wave form without potential reversal in voltage gradient appears in the area where the interference exists. However, this area may be not identified using existing methods. The objective of this study was to determine the effect of analyzing direction on the reliability of coating flaw detection of pipes buried in soil using a multi-electrode detector. DCVG on the buried pipe was measured along the buried pipe. This measurement parallel to the pipe was repeated. Measured data were analyzed for parallel, vertical, and diagonal directions. The reliability of coating flaw detection was improved by up to 46.4% compared to the conventional method.

• 한국지반공학회논문집
• /
• 제18권1호
• /
• pp.49-57
• /
• 2002

오염지반 정화를 위한 Electrokinetic 처리 과정에서 지반에 전류를 적용하면 흙물 시스템 내에서 발생하는 유체의 이동 현상과 계면의 특성 변화가 발생하여 Electrokinetic 반응에 영향을 미친다. 본 논문에서는 지반 내에서 발생하는 전기적, 화학적 변수와 그 변화 특성을 규명하고자 실내실험을 수행하여, 시료의 전압, 전류, 제타포텐셜, pH등의 전기 화학적 현상을 연구하였으며 이러한 인자들의 특성변화를 모델링하는 기법을 제시하였다. 그 결과 정화 도중 전압, 전류 변화를 각 농도에서 시간에 따른 지수함수로 표현할 수 있었으며 제타포텐셜의 변화를 pH와 오염농도에 따라 모델링 할 수 있었다.

• Corrosion Science and Technology
• /
• 제19권4호
• /
• pp.211-223
• /
• 2020

The external corrosion of buried piping can be controlled using both coating and cathodic protection. Several factors are involved in the damage and deterioration of the coating on pipes. There are many detection methods for coating defects on pipes and the direct current voltage gradient (DCVG) method is one of the most powerful methods. However, the detection reliability of DCVG can be affected by interferences such as stray current, metal objects connected to rectifiers, and copper grids. Therefore, this study focused on the interference effects of rectifiers and a copper grid on the reliability of coating flaw detection. As the length of the interference pipe connected to the rectifier increased, the reliability decreased. In contrast, as the distance between the pipe and the copper grid increased, the reliability of the coating flaw detection increased. The detection results produced by the DCVG method were discussed using current and potential simulations for a pipe with a rectifier and copper grid interference in the soil.