TY - GEN
T1 - Tunneling appropriate computational models from laser scanning data
AU - Truong-Hong, Linh
AU - Laefer, Debra F.
N1 - Funding Information:
This work was made possible through the funding of Science Foundation Ireland 縀SFI ?PICA ?I ? ? 缀 and the European Union Grant ERC StG ????爃????? RETURN ?
Funding Information:
This work was made possible through the funding of Science Foundation Ireland (SFI/PICA/I850) and the European Union Grant ERC StG 2012-307836-RETURN.
Publisher Copyright:
© 2018 Ingenta.
PY - 2017
Y1 - 2017
N2 - Tunneling projects often require computational models of existing structures. To this end, this paper demonstrates the viability of automatically, robustly reconstructing an individual building model from laser scanning data for further computational modeling without any manual intervention. The resulting model is appropriate for immediate importation into a commercial finite element method (FEM) program. The method combines a voxel-based technique with an angle criterion. Initially, the voxelization model is used to represent the façade model, while an angle criterion is implemented to determine boundaries of the façade and its openings (doors and windows). The algorithm overcomes common problems of occlusions or artefacts that arise during data acquisition. The resulting relative errors of overall dimensions and opening areas of geometric models were less 2% and 6%, respectively, which are generally within industry standards for this type of building modeling.
AB - Tunneling projects often require computational models of existing structures. To this end, this paper demonstrates the viability of automatically, robustly reconstructing an individual building model from laser scanning data for further computational modeling without any manual intervention. The resulting model is appropriate for immediate importation into a commercial finite element method (FEM) program. The method combines a voxel-based technique with an angle criterion. Initially, the voxelization model is used to represent the façade model, while an angle criterion is implemented to determine boundaries of the façade and its openings (doors and windows). The algorithm overcomes common problems of occlusions or artefacts that arise during data acquisition. The resulting relative errors of overall dimensions and opening areas of geometric models were less 2% and 6%, respectively, which are generally within industry standards for this type of building modeling.
KW - Angle criterion
KW - Building damage
KW - Building reconstruction
KW - Finite element analysis
KW - Laser scanning
KW - Tunneling-induced settlement
KW - Voxelization model
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M3 - Conference contribution
AN - SCOPUS:85050032661
T3 - IABSE Conference, Vancouver 2017: Engineering the Future - Report
SP - 175
EP - 182
BT - IABSE Conference, Vancouver 2017
PB - International Association for Bridge and Structural Engineering (IABSE)
T2 - 39th IABSE Symposium in Vancouver 2017: Engineering the Future
Y2 - 21 September 2017 through 23 September 2017
ER -