Development of a Real-Time Active Pipeline Integrity Detection System

Utilizing the SMART Layer technology as a basis, a real-time active pipeline integrity detection (RAPID) system is developed for built-in in?situ assessment of the health of new and existing pipelines. The RAPID system consists of a sensor network permanently mounted on the host pipeline, portable electronic hardware and diagnostic software. Three moduli, including image display, damage sizing, and corrosion depth, are built into the diagnostic software to help in visualization of the approximate location and the extent of corrosion, and to quantify the corrosion sizing and depth. The main advantages of the RAPID system include: (1) ease of use, (2) ability to provide a well-defined resolution, (3) reliability with self-diagnostic and environmental compensation, and (4) quantified corrosion sizing. To verify the detection capability of the RAPID system, a series of tests have been conducted on a 6.7?m long steel pipe with a diameter of 610?mm and a wall thickness of 7.14?mm with ten different types of corrosion flaws. Test results demonstrated that the depth detection limit could be as low as 0.125?mm for general corrosion with an area of 60?mm ? 60?mm under laboratory conditions, while a pinhole with 6.35?mm diameter and 3.5?mm depth can be detected with the given sensor density. Some practical issues for field applications of the RAPID system are also discussed.

[1]  Xinlin Qing,et al.  The performance of a piezoelectric-sensor-based SHM system under a combined cryogenic temperature and vibration environment , 2008 .

[2]  Patrick C. Porter Inline technology ready to handle new pipeline challenges , 2006 .

[3]  Xinlin Qing,et al.  SMART Layer and SMART Suitcase for structural health monitoring applications , 2001, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[4]  S. Beard,et al.  An Active Diagnostic System for Structural Health Monitoring of Rocket Engines , 2006 .

[5]  Amrita Kumar,et al.  SMART solutions for composite structures , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[6]  Satish Udpa,et al.  Remote field eddy current testing for detection of stress corrosion cracks in gas transmission pipelines , 2004 .

[7]  Lynann Clapham,et al.  Residual Magnetic Flux Leakage: A Possible Tool for Studying Pipeline Defects , 2003 .

[8]  Keith Worden,et al.  Optimal sensor placement for fault detection , 2001 .

[9]  Chiman Kwan,et al.  In-Line Nondestructive Inspection of Mechanical Dents on Pipelines With Guided Shear Horizontal Wave Electromagnetic Acoustic Transducers , 2005 .

[10]  S. T. Quek,et al.  Vibration Control of Composite Plates via Optimal Placement of Piezoelectric Patches , 2003 .

[11]  Patrick C. Porter,et al.  Conformable Eddy Current Array for Mapping External Pipeline Corrosion , 2002 .

[12]  L. L. Zhang,et al.  Optimal placement of sensors for structural health monitoring using improved genetic algorithms , 2004 .

[13]  Keith Worden,et al.  Fail-safe sensor distributions for impact detection in composite materials , 2000 .

[14]  F. Chang,et al.  Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics , 2004 .

[15]  Xinlin Qing,et al.  SmartComposite system for impact damage detection on composite structures , 2009, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[16]  Mark J. Schulz,et al.  Editorial: Letter of Introduction from the Editors of Structural Health Monitoring , 2002 .

[17]  Xinlin Qing,et al.  A real-time active smart patch system for monitoring the integrity of bonded repair on an aircraft structure , 2006 .

[18]  Tribikram Kundu,et al.  Underwater Pipeline Inspection Using Guided Waves , 2001, NDE Challenges of the 21st Century: Theory to Practice.