New possibilities for damage prediction from tunnel subsidence using aerial LiDAR data

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Title: New possibilities for damage prediction from tunnel subsidence using aerial LiDAR data
Authors: Laefer, Debra F.
Hinks, Tommy
Carr, Hamish
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Date: Jun-2010
Online since: 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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Keywords: DamagePredictionLiDARTunnel-induced subsidence
Subject LCSH: Earth movements and building
Subsidences (Earth movements)--Forecasting
Tunnels--Design and construction
Optical radar
Language: en
Status of Item: Peer reviewed
Conference Details: Presented at Geotechnical Challenges in Megacities, ISSMGE International Geotechnical conference, June 7-10, 2010, Moscow, Russia
Appears in Collections:Urban Institute Ireland Research Collection
Critical Infrastructure Group Research Collection
Civil Engineering Research Collection

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