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A Semi-Automatic Member Detection for Metal Bridges

A Semi-Automatic Member Detection for Metal Bridges
Author(s): ,
Presented at IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015, published in , pp. 214-215
DOI: 10.2749/222137815815774700
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Terrestrial laser scanners (TLSs) are prominent non-contact instruments for acquiring highly detailed geometries of bridge components in only minutes. A TLS can be a strategic instrument for data c...
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Bibliographic Details

Author(s):

Medium: conference paper
Language(s): English
Conference: IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015
Published in:
Page(s): 214-215 Total no. of pages: 7
Page(s): 214-215
Total no. of pages: 7
Year: 2015
DOI: 10.2749/222137815815774700
Abstract:

Terrestrial laser scanners (TLSs) are prominent non-contact instruments for acquiring highly detailed geometries of bridge components in only minutes. A TLS can be a strategic instrument for data collection for bridge inspection and documentation, because it can reduce significantly required field time and auxiliary equipment. To deploy a TLS in this field, a semi-automatic method for post-processing a point cloud for documentation of a historic metal bridge is proposed. In this work, generating 3D model of existing structural members and identifying connection characteristics are mainly of interest. The Guinness Bridge built in 1880s in Dublin, Ireland is presented as a case study for the proposed semi-automatic workflow.

Keywords:
damage connection documentation terrestrial laser scanning point cloud Historic Mental Bridge