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Visual analytics and rendering for tunnel crack analysis: A methodological approach for integrating geometric and attribute data
The visual analysis of surface cracks plays an essential role in tunnel maintenance when assessing the condition of a tunnel. To identify patterns of cracks, which endanger the structural integrity of its concrete surface, analysts need an integrated solution for visual analysis of geometric and mul...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512001/ https://www.ncbi.nlm.nih.gov/pubmed/31148881 http://dx.doi.org/10.1007/s00371-016-1257-5 |
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author | Ortner, Thomas Sorger, Johannes Piringer, Harald Hesina, Gerd Gröller, Eduard |
author_facet | Ortner, Thomas Sorger, Johannes Piringer, Harald Hesina, Gerd Gröller, Eduard |
author_sort | Ortner, Thomas |
collection | PubMed |
description | The visual analysis of surface cracks plays an essential role in tunnel maintenance when assessing the condition of a tunnel. To identify patterns of cracks, which endanger the structural integrity of its concrete surface, analysts need an integrated solution for visual analysis of geometric and multivariate data to decide if issuing a repair project is necessary. The primary contribution of this work is a design study, supporting tunnel crack analysis by tightly integrating geometric and attribute views to allow users a holistic visual analysis of geometric representations and multivariate attributes. Our secondary contribution is Visual Analytics and Rendering, a methodological approach which addresses challenges and recurring design questions in integrated systems. We evaluated the tunnel crack analysis solution in informal feedback sessions with experts from tunnel maintenance and surveying. We substantiated the derived methodology by providing guidelines and linking it to examples from the literature. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00371-016-1257-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6512001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-65120012019-05-28 Visual analytics and rendering for tunnel crack analysis: A methodological approach for integrating geometric and attribute data Ortner, Thomas Sorger, Johannes Piringer, Harald Hesina, Gerd Gröller, Eduard Vis Comput Original Article The visual analysis of surface cracks plays an essential role in tunnel maintenance when assessing the condition of a tunnel. To identify patterns of cracks, which endanger the structural integrity of its concrete surface, analysts need an integrated solution for visual analysis of geometric and multivariate data to decide if issuing a repair project is necessary. The primary contribution of this work is a design study, supporting tunnel crack analysis by tightly integrating geometric and attribute views to allow users a holistic visual analysis of geometric representations and multivariate attributes. Our secondary contribution is Visual Analytics and Rendering, a methodological approach which addresses challenges and recurring design questions in integrated systems. We evaluated the tunnel crack analysis solution in informal feedback sessions with experts from tunnel maintenance and surveying. We substantiated the derived methodology by providing guidelines and linking it to examples from the literature. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00371-016-1257-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-05-11 2016 /pmc/articles/PMC6512001/ /pubmed/31148881 http://dx.doi.org/10.1007/s00371-016-1257-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Ortner, Thomas Sorger, Johannes Piringer, Harald Hesina, Gerd Gröller, Eduard Visual analytics and rendering for tunnel crack analysis: A methodological approach for integrating geometric and attribute data |
title | Visual analytics and rendering for tunnel crack analysis: A methodological approach for integrating geometric and attribute data |
title_full | Visual analytics and rendering for tunnel crack analysis: A methodological approach for integrating geometric and attribute data |
title_fullStr | Visual analytics and rendering for tunnel crack analysis: A methodological approach for integrating geometric and attribute data |
title_full_unstemmed | Visual analytics and rendering for tunnel crack analysis: A methodological approach for integrating geometric and attribute data |
title_short | Visual analytics and rendering for tunnel crack analysis: A methodological approach for integrating geometric and attribute data |
title_sort | visual analytics and rendering for tunnel crack analysis: a methodological approach for integrating geometric and attribute data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512001/ https://www.ncbi.nlm.nih.gov/pubmed/31148881 http://dx.doi.org/10.1007/s00371-016-1257-5 |
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