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New possibilities for damage prediction from tunnel subsidence using aerial LiDAR data
Author(s)
Date Issued
2010-06
Date Available
2010-08-06T13:58:47Z
Abstract
Computation modelling has not been fully exploited for predicting building damage due to tunnel-induced subsidence, because of the expense and time required to create computational meshes for the vast quantity of buildings that may be impacted along a tunnel’s route. A possible circumvention of such a resource commitment lies in the exploitation of remote sensing data in the form of aerial laser scans (also know as Light Detection and Ranging – LiDAR). This paper presents work accomplished to date in the creation of a pipeline to automate the conversion of aerial LiDAR point cloud data directly into Finite Element Method (FEM) meshes without the intermediary step of triangulation-based conversion or reliance on geometric primitives through a Computer Aided Design (CAD) program. The paper highlights recent advances in flight path planning, data processing, plane identification, wall segmentation, and data transformation.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Environmental Protection Agency
Type of Material
Conference Publication
Subject – LCSH
Earth movements and building
Subsidences (Earth movements)--Forecasting
Tunnels--Design and construction
Optical radar
Language
English
Status of Item
Peer reviewed
Conference Details
Presented at Geotechnical Challenges in Megacities, ISSMGE International Geotechnical conference, June 7-10, 2010, Moscow, Russia
This item is made available under a Creative Commons License
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