Adaptive cross correlation for imaging displacements in soils

Jinyuan Liu, Magued Iskander

Research output: Contribution to journalArticle

Abstract

Digital image correlation (DIC) is used in this paper to study two-dimensional spatial soil deformations nonintrusively. Adaptive cross correlation (ACC), which is an advanced cross-correlation algorithm that utilizes variable window sizing and window shifting methods, Was used to reduce the errors associated with conventional DIC. Comparison of the two algorithms using a Scheme of predefined digital and physical movements shows that ACC improves the accuracy and range of DIC. A model of a strip footing on sand is presented. A digital camera was used to capture consecutive images of soil deformations through a Plexiglas mold. The spatial deformation of the soil beneath the footing was obtained by correlating consecutive images using ACC. Shear strains and the failure surface were also calculated based on the displacements measured using ACC. The optical setup and digital image processing technique presented in this paper were proven to be an effective tool for studying soil-structure interaction nonintrusively.

Original languageEnglish (US)
Pages (from-to)46-57
Number of pages12
JournalJournal of Computing in Civil Engineering
Volume18
Issue number1
DOIs
StatePublished - Jan 2004

Fingerprint

Soils
Imaging techniques
Soil structure interactions
Shear strain
Digital cameras
Image processing
Sand

Keywords

  • Correlation
  • Deformation
  • Digital techniques
  • Displacement
  • Imaging techniques
  • Soils

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Adaptive cross correlation for imaging displacements in soils. / Liu, Jinyuan; Iskander, Magued.

In: Journal of Computing in Civil Engineering, Vol. 18, No. 1, 01.2004, p. 46-57.

Research output: Contribution to journalArticle

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