Simulation Study on Axial Location Identification of Damage in Layered Pipeline Structures Based on Damage Index

Author:

Li Ying12,Qu Lingzhi3,Qi Baoxin4

Affiliation:

1. Civil Engineering Institute, Institute of Disaster Prevention, Sanhe 065201, China

2. Key Laboratory of Building Collapse Mechanism and Disaster Prevention, Institute of Disaster Prevention, China Earthquake Administration, Sanhe 065201, China

3. School of Architecture and Civil Engineering, Shenyang University, Shenyang 110044, China

4. School of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, China

Abstract

This study investigates the feasibility of identifying the axial position of circumferential defects in laminated pipeline structures based on damage indices. Wavelet packet decomposition is combined with damage indices, and the effects of dual defects with the same circumferential position but different axial positions, as well as dual defects with different circumferential and axial positions, on damage indices are separately studied. Our aim was to determine the potential to use damage indices to identify the axial position of circumferential defects in laminated pipeline structures. ABAQUS finite element analysis software was used to establish models of laminated pipeline structures with single defects and dual defects (with the same circumferential position but different axial positions, and with different circumferential and axial positions). The laminated pipeline structure was composed of a steel pipe (structural layer), a rigid polyurethane foam (insulation layer), and a high-density polyethylene (anticorrosion layer). The received sensing signals were averaged, and subjected to 5-level wavelet packet decomposition, to calculate the damage index values, which were then organized into a damage index matrix. Based on the trend of changes in the damage index matrix, the effects of variations in the number and circumferential position of the defects on the identification of the axial position of the damage were analyzed. The results indicate that the trend in damage index changes is influenced by the number of defects, and the increase in the circumferential distance between the second and the piezoelectric element sensor. This study found that when 1.7λ≤PD≤3.4λ, Idouble defect 90°<Isingle defect<Idouble defect 0°; when 3.7λ≤PD≤4λ, Idouble defect 90°<0.3<Idouble defect 0°<Isingle defect. This article demonstrates that the identification of the axial position of damage in laminated pipeline structures can be achieved using the damage index values in the damage index matrix. Additionally, this damage identification method overcomes the limitation of the wavelet packet’s inability to identify dual defects with relatively small relative axial distances. This provides new ideas and methods for finite element analysis in identifying the axial position of damage in laminated pipeline structures.

Funder

Fundamental Research Funds for the Central Universities

Liaoning Provincial Education Department Scientific Research-Youth “Nurturing” Project

Science and Technology Project of Hebei Education Department

Langfang Municipal Science and Technology Plan Project

Natural Science Foundation of Liaoning Province

Educational Research and Teaching Reform Project of Institute of Disaster Prevention

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference28 articles.

1. Application of ultrasonic guided waves in damage localization of cylindrical structures;Wang;J. Vib. Meas. Diagn.,2017

2. Damage detection and localization in pipeline using sparse estimation of ultrasonic guided waves signals;Mourot;IFAC-Pap. Online,2018

3. Wei, R. (2021). Numerical Simulation and Imaging Technology of Guided Wave for Pipeline Damage. [Master’s Thesis, Dalian University of Technology].

4. Numerical simulation on the interaction of longitudinal guided waves with double defects in pipes;Hu;Insp. Integr.,2021

5. Ultrasonic guided wave detection in a pipeline based on Lyapunov exponent of Lorenza system;Wen;J. Vib. Shock.,2019

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