A numerical study of damage detection of underwater pipeline using vibration-based method

This paper presents a numerical investigation of the feasibility of condition monitoring of untrenched pipelines at seabed through ambient vibration measurements. A finite element (FE) model is developed to calculate the dynamic responses of pipelines to ambient wave forces. The model takes into consideration the interaction between the ocean waves, submarine pipeline, and seabed. The fluid around the pipeline is simulated using the acoustic fluid elements, while soil is simulated by springs and dashpots. The ambient hydrodynamic force in the marine environment is simulated based on the Joint North Sea Wave Observation Project (JONSWAP) spectrum. The transfer function from the wave surface elevation to the wave force is used to get the wave force spectrum. The dynamic responses of the pipe structure with different assumed damage conditions to the ambient wave forces are calculated. The calculated dynamic responses are assumed as measured ambient vibration data in condition monitoring to extract the pipeline vibration properties, which in turn are used in the FE model updating calculation to identify the pipeline conditions. Different noise levels are introduced into the calculated dynamic responses to simulate uncertainties that may arise from measurement and ambient hydrodynamic environment. The effect of noise levels on the extraction of pipeline vibration properties, and on the identification of the pipeline conditions is investigated.

[1]  Xinqun Zhu,et al.  Dynamic assessment of underwater pipeline systems using statistical model updating , 2008 .

[2]  Spilios D. Fassois,et al.  PARAMETRIC TIME-DOMAIN METHODS FOR THE IDENTIFICATION OF VIBRATING STRUCTURES—A CRITICAL COMPARISON AND ASSESSMENT , 2001 .

[3]  Hong Hao,et al.  Vibration-based Damage Detection of Structures by Genetic Algorithm , 2002 .

[4]  V. G. Idichandy,et al.  Structural monitoring of offshore platforms using impulse and relaxation response , 2001 .

[5]  John E. Mottershead,et al.  Finite Element Model Updating in Structural Dynamics , 1995 .

[6]  Thomas G. Carne,et al.  The Natural Excitation Technique (NExT) for modal parameter extraction from operating wind turbines , 1993 .

[7]  G. P. Zou,et al.  Piezoelectric-Based Degradation Assessment of a Pipe Using Fourier and Wavelet Analyses , 2005 .

[8]  A. B. Vesic,et al.  Bending of Beams Resting on Isotropic Elastic Solid , 1961 .

[9]  W. Ren,et al.  Output-only modal parameter identification of civil engineering structures , 2004 .

[10]  Linda Simo Mthembu,et al.  FINITE ELEMENT MODEL UPDATING , 2013 .

[11]  Gaëtan Kerschen,et al.  Output-only modal analysis using blind source separation techniques , 2007 .

[12]  Mark Randolph,et al.  MODELING OF SHALLOWLY EMBEDDED OFFSHORE PIPELINES IN CALCAREOUS SAND , 2002 .

[13]  L. Auersch.  Dynamic interaction of various beams with the underlying soil – finite and infinite, half-space and Winkler models , 2008 .

[14]  Yee-Meng Chiew,et al.  Mechanics of local scour around submarine pipelines , 1990 .

[15]  Xinqun Zhu,et al.  Condition assessment of shear connectors in slab-girder bridges via vibration measurements , 2008 .

[16]  Wei-Xin Ren,et al.  Structural Finite Element Model Updating Using Ambient Vibration Test Results , 2005 .

[17]  Jonathan M. Nichols,et al.  Structural health monitoring of offshore structures using ambient excitation , 2003 .

[18]  E. Peter Carden,et al.  Vibration Based Condition Monitoring: A Review , 2004 .

[19]  Fernando Gustavo Tomasel,et al.  Simple swept-sine analyzer for excitation and measurement of dynamic response in ocean structures , 2002 .

[20]  Nobuo Takeda,et al.  Characterization of microscopic damage in composite laminates and real-time monitoring by embedded optical fiber sensors , 2002 .

[21]  Jean-Francois Cardoso,et al.  Blind signal separation: statistical principles , 1998, Proc. IEEE.

[22]  Beverley Ronalds,et al.  Non-linear dynamic analysis with deterministic and random seas: the case of minimum platforms , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[23]  G. De Roeck,et al.  Vibration based Structural Health Monitoring using output-only measurements under changing environment , 2008 .

[24]  J. R. Still,et al.  Development of corrosion monitoring in the offshore production industry , 1992 .

[25]  K. Newton,et al.  NDT research for the oil and gas industry , 1992 .

[26]  B. M. Sumer,et al.  Onset Of Scour Below A Pipeline Exposed To Waves , 1991 .

[27]  Guido De Roeck,et al.  REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS , 1999 .

[28]  Alison B. Flatau,et al.  Review Paper: Health Monitoring of Civil Infrastructure , 2003 .

[29]  T. Barnett,et al.  Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP) , 1973 .

[30]  D. Chelidze,et al.  Blind source separation based vibration mode identification , 2007 .

[31]  Charles R. Farrar,et al.  Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .

[32]  Joseph L. Rose,et al.  Ultrasonic guided wave NDE for piping , 1996 .

[33]  Laurence J. Jacobs,et al.  Modeling elastic wave propagation in waveguides with the finite element method , 1999 .

[34]  V. G. Idichandy,et al.  ART-based multiple neural networks for monitoring offshore platforms , 1996 .

[35]  Lalita Udpa,et al.  Developments in gas pipeline inspection technology , 1996 .

[36]  O. S. Salawu.  Detection of structural damage through changes in frequency: a review , 1997 .

[37]  H. Srirangarajan,et al.  Experimental and theoretical study on crack detection in pipes filled with fluid , 2004 .

[38]  Pei-wen Que,et al.  Adaptive dynamic focusing system for ultrasonic nondestructive testing of pipeline girth welds , 2004 .

[39]  Robert D. Adams,et al.  The location of defects in structures from measurements of natural frequencies , 1979 .