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Image analysis for monitoring of crack growth in hydropower concrete structures

Bernstone, Christian LU and Heyden, A. (2009) In Measurement 42(6). p.878-893
Abstract
A digital image analysis technique for crack monitoring using a standard web-camera has been further developed to acquire continuous data sets on crack development in concrete dams. The method is based on an existing robust and straightforward non-contact method for experimental deformation analysis. It allows for the measurement of suspected serious cracks, identified from inspections, through a sequence of images captured at intervals. The crack opening displacements at the surface of investigated objects are obtained by an algorithm that makes it possible to automatically track the motions of discrete markers painted on the object surface markers and compute their centre of mass in a sequence of images. The data acquisition process is... (More)
A digital image analysis technique for crack monitoring using a standard web-camera has been further developed to acquire continuous data sets on crack development in concrete dams. The method is based on an existing robust and straightforward non-contact method for experimental deformation analysis. It allows for the measurement of suspected serious cracks, identified from inspections, through a sequence of images captured at intervals. The crack opening displacements at the surface of investigated objects are obtained by an algorithm that makes it possible to automatically track the motions of discrete markers painted on the object surface markers and compute their centre of mass in a sequence of images. The data acquisition process is straightforward and is well suited for this type of environment. Results from laboratory experiments and a field-test on a commuter bridge in Sweden are presented. The study implies that the technique can be useful for hydropower concrete structure applications. (C) 2009 Elsevier Ltd. All rights reserved. (Less)
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Image analysis, Crack growth, Concrete structures, Monitoring, Dam
in
Measurement
volume
42
issue
6
pages
878 - 893
publisher
Elsevier
external identifiers
  • wos:000266851200009
  • scopus:67349244289
ISSN
0263-2241
DOI
10.1016/j.measurement.2009.01.007
language
English
LU publication?
yes
id
2478f2d3-c498-4908-b2ae-0001f1e8fb54 (old id 1441985)
date added to LUP
2016-04-01 11:50:32
date last changed
2022-04-20 22:36:14
@article{2478f2d3-c498-4908-b2ae-0001f1e8fb54,
  abstract     = {{A digital image analysis technique for crack monitoring using a standard web-camera has been further developed to acquire continuous data sets on crack development in concrete dams. The method is based on an existing robust and straightforward non-contact method for experimental deformation analysis. It allows for the measurement of suspected serious cracks, identified from inspections, through a sequence of images captured at intervals. The crack opening displacements at the surface of investigated objects are obtained by an algorithm that makes it possible to automatically track the motions of discrete markers painted on the object surface markers and compute their centre of mass in a sequence of images. The data acquisition process is straightforward and is well suited for this type of environment. Results from laboratory experiments and a field-test on a commuter bridge in Sweden are presented. The study implies that the technique can be useful for hydropower concrete structure applications. (C) 2009 Elsevier Ltd. All rights reserved.}},
  author       = {{Bernstone, Christian and Heyden, A.}},
  issn         = {{0263-2241}},
  keywords     = {{Image analysis; Crack growth; Concrete structures; Monitoring; Dam}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{878--893}},
  publisher    = {{Elsevier}},
  series       = {{Measurement}},
  title        = {{Image analysis for monitoring of crack growth in hydropower concrete structures}},
  url          = {{http://dx.doi.org/10.1016/j.measurement.2009.01.007}},
  doi          = {{10.1016/j.measurement.2009.01.007}},
  volume       = {{42}},
  year         = {{2009}},
}