New possibilities for damage prediction from tunnel subsidence using aerial LiDAR data
|Title:||New possibilities for damage prediction from tunnel subsidence using aerial LiDAR data||Authors:||Laefer, Debra F.
|Permanent link:||http://hdl.handle.net/10197/2314||Date:||Jun-2010||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:||Damage;Prediction;LiDAR;Tunnel-induced subsidence||Subject LCSH:||Earth movements and building
Subsidences (Earth movements)--Forecasting
Tunnels--Design and construction
|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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