Post-earthquake evaluation of pipelines rehabilitated with cured in place lining technology using acoustic emission

Abstract To increase the operational lifetime of existing underground pipelines without laborious and costly excavation, replacement, and embankment, in situ pipeline lining technology has received significant interest over the past three decades. This paper presents the results of an experimental study aimed at monitoring the performance of full scale pipeline-lining systems, subjected to static and dynamic (seismic) loading, using acoustic emission (AE) technique. Particularly, two damage mechanisms are investigated – delamination between pipeline and liner, and incipient failure of the liner. A statistical pattern recognition technique based on a multivariate outlier analysis is presented for automatically identifying the onset of critical damage. Such a system could inform decision makers about the need for repair and ultimately ensures the safe and reliable operation of underground infrastructure.

[1]  Francesco Lanza di Scalea,et al.  Wavelet-based outlier analysis for guided wave structural monitoring: Application to multi-wire strands , 2007 .

[2]  Donna Dawson,et al.  Cured-in-place Pipe: Trenchless Trends , 2012 .

[3]  David G. Stork,et al.  Pattern Classification , 1973 .

[4]  Guillermo Ramirez.  Use of Acoustic Emission to Evaluate Residual Strength in FRP Pipes after Impact Damage , 2012 .

[5]  Jerome P. Lynch,et al.  Using electrical, magnetic and acoustic sensors to detect damage in segmental concrete pipes subjected to permanent ground displacement , 2011 .

[6]  D. L. Merson,et al.  Use of the method of acoustic emission for determining the mechanical properties of pipe steels , 2007 .

[7]  Chung Bang Yun,et al.  Impedance-based structural health monitoring incorporating neural network technique for identification of damage type and severity , 2012 .

[8]  Jing Li,et al.  Investigations of the fatigue damage in 16Mn steels by wavelet-based acoustic emission technique , 2012, Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing).

[9]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[10]  Didem Ozevin,et al.  Novel leak localization in pressurized pipeline networks using acoustic emission and geometric connectivity , 2012 .

[11]  Bryan W. Karney,et al.  Energy and Costs of Leaky Pipes: Toward Comprehensive Picture , 2002 .

[12]  Piervincenzo Rizzo,et al.  Ultrasonic guided waves for nondestructive evaluation/structural health monitoring of trusses , 2010 .

[13]  Hossam A. Gabbar,et al.  Review of pipeline integrity management practices , 2010 .

[14]  Juan José González de la Rosa,et al.  Higher Order Statistics and Independent Component Analysis for Spectral Characterization of Acoustic Emission Signals in Steel Pipes , 2007, IEEE Transactions on Instrumentation and Measurement.

[15]  Thomas D. O'Rourke,et al.  Seismic Testing of Critical Lifelines Rehabilitated with Cured in Place Pipeline Lining Technology , 2014 .

[16]  Giuseppe Giunta,et al.  Pipeline acoustic monitoring , 2012 .

[17]  Giuseppe Giunta,et al.  Pipeline Health Integrity Monitoring (PHIM) Based on Acoustic Emission Technique , 2012 .

[18]  Fred A Travers.  Acoustic monitoring of prestressed concrete pipe , 1997 .

[19]  Yehia A. Khulief,et al.  Acoustic Detection of Leaks in Water Pipelines Using Measurements inside Pipe , 2012 .

[20]  Salvatore Salamone,et al.  Detection of Initial Yield and Onset of Failure in Bonded Posttensioned Concrete Beams , 2012 .

[21]  John Alexander Steel,et al.  Acoustic Emission Source Location for Steel Pipe and Pipeline Applications: The Role of Arrival Time Estimation , 2006 .

[22]  Amir Mostafapour,et al.  Analysis of leakage in high pressure pipe using acoustic emission method , 2013 .

[23]  H. M. Nykyforchyn,et al.  Assessment of the In-Service Degradation of Pipeline Steel by Destructive and Nondestructive Methods , 2012, Materials Science.

[24]  D. V. Leemans.  Acoustic emission monitoring of A106B pipe steel , 1980 .

[25]  Liqiong Chen,et al.  Applicability Analysis of Trenchless Corrosion Detecting Methods on Oil Pipeline , 2011 .

[26]  Masayasu Ohtsu,et al.  Acoustic Emission Testing , 2006, Advanced Materials Research.

[27]  Zheng Liu,et al.  State-of-the-Art Review of Technologies for Pipe Structural Health Monitoring , 2012, IEEE Sensors Journal.

[28]  Qiong Ai,et al.  Acoustic emission of fatigue crack in pressure pipe under cyclic pressure , 2010 .

[29]  John C. Matthews,et al.  A pilot study for retrospective evaluation of cured-in-place pipe (CIPP) rehabilitation of municipal gravity sewers , 2014 .

[30]  Ehsan Dehghan Niri,et al.  Corrosion monitoring of post‐tensioned concrete structures using fractal analysis of guided ultrasonic waves , 2014 .

[31]  Giuseppe Giunta,et al.  Third Party Interference And Leak Detection On Buried Pipelines For Reliable Transportation Of Fluids , 2011 .

[32]  Jay N. Meegoda,et al.  Acoustic Emission Leak Detection on a Metal Pipeline Buried in Sandy Soil , 2013 .

[33]  Keith Worden,et al.  DAMAGE DETECTION USING OUTLIER ANALYSIS , 2000 .

[34]  Amir Mostafapour,et al.  Modeling Acoustic Emission Signals Caused by Leakage in Pressurized Gas Pipe , 2013 .

[35]  Ivan Bartoli,et al.  An integrated structural health monitoring approach for crack growth monitoring , 2012 .

[36]  Karen Margaret Holford,et al.  Damage assessment of corrosion in prestressed concrete by acoustic emission , 2013 .

[37]  Michael M. Khonsari,et al.  On the role of cooling on fatigue failure of a woven glass/epoxy laminate , 2013 .

[38]  Salvatore Salamone,et al.  Adaptive multisensor data fusion for acoustic emission source localization in noisy environment , 2013 .

[39]  Matteo Mazzotti,et al.  Nondestructive characterization of tie-rods by means of dynamic testing, added masses and genetic algorithms , 2013 .

[40]  Anthony N. Tafuri,et al.  A reference standard for the development of acoustic emission pipeline leak detection techniques , 1999 .

[41]  Jirapong Lim,et al.  Micro Cracking in Stainless Steel pipe Detection by using Acoustic Emission and Crest Factor technique , 2007, 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007.

[42]  Andrew S. Whittaker,et al.  Acoustic emission monitoring of a reinforced concrete shear wall by b-value–based outlier analysis , 2013 .