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  5. Validating Computational Models from Laser Scanning Data for Historic Facades
 
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Validating Computational Models from Laser Scanning Data for Historic Facades

Author(s)
Truong-Hong, Linh  
Laefer, Debra F.  
Uri
http://hdl.handle.net/10197/4880
Date Issued
2013-03-29
Date Available
2013-11-08T14:00:36Z
Abstract
Increasingly, remote sensing is being used as the basis for computational models. With new approaches rapidly emerging, questions arise as to how to validate and assess the resulting models, as they tend to include at least some level of geometric inexactitude. This paper proposes a set of parameters and procedures for evaluating the usefulness of computational models for structural analysis of historic facades subjected to adjacent construction work. To test the usability of such an approach, three brick buildings were scanned with a terrestrial laser scanner. The data were processed with a recently proposed set of algorithms, and the reliability of the resulting solid models was evaluated by comparing finite-element results from auto-generated solid models versus those based on measured drawings. The proposed validation process considers overall response, as well as local behavior. The results show the importance of using both conventional values and project specific parameters.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
ASTM International
Journal
Journal of Testing and Evaluation
Volume
41
Issue
3
Copyright (Published Version)
2013 ASTM International
Subjects

Remote sensing

Terrestrial laser sca...

Finite element analys...

Foundation settlement...

Geometric validation

Solid model generatio...

DOI
10.1520/JTE20120243
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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LTH02.pdf

Size

3.42 MB

Format

Adobe PDF

Checksum (MD5)

a48f20d16ebb7aad1936422560e5e816

Owning collection
Civil Engineering Research Collection
Mapped collections
Earth Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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