Skip to main navigation Skip to search Skip to main content

Application of wavelet transforms to the simulation of corrosion fields on buried pipelines

  • Western University

Research output: Contribution to journalArticlepeer-review

Abstract

The present study presents a framework to analyze and simulate nonhomogeneous non-Gaussian corrosion fields on the external surface of buried in-service pipelines by using continuous and discrete wavelet transforms. The considered transforms are the two-dimensional continuous wavelet transform (CWT) using the complex Morlet wavelets, dual-tree complex discrete wavelet transform (DT-CDWT), and dual-tree complex discrete wavelet with hyperbolic wavelet transform scheme (DT-CHWT); the natural corrosion field is measured using a high-resolution laser scan. Scalograms and marginal distribution of the measured corrosion field are incorporated into the iterative power and amplitude correction (IPAC) algorithm to generate synthetic corrosion fields. The framework is explained and illustrated using a numerical example. The results indicate that the proposed framework can generate synthetic corrosion fields that effectively capture probabilistic characteristics of the measured corrosion field in terms of the scalogram, textural features, and burst capacity of the pipe segment containing the corrosion field. The results suggest that DT-CDWT and DT-CHWT combined with IPAC are efficient and viable options to simulate synthetic corrosion fields to facilitate the pipeline corrosion management practice, whereas the use of CWT in conjunction with IPAC is associated with high computational cost.

Original languageEnglish
Article number106957
JournalComputers and Structures
Volume276
DOIs
StatePublished - Feb 2023
Externally publishedYes

Keywords

  • Corrosion
  • Dual-tree complex wavelet transform
  • Pipeline
  • Random field
  • Wavelet transform

Fingerprint

Dive into the research topics of 'Application of wavelet transforms to the simulation of corrosion fields on buried pipelines'. Together they form a unique fingerprint.

Cite this