Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
Product and Process Modeling 1
Time:
Monday, 26/July/2021:
11:00am - 12:00pm

Session Chair: Alex Braun
Session Chair: André Borrmann

Subtopic: Digital Twins


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Presentations
11:00am - 11:20am

VOID-GROWING: A NOVEL SCAN-TO-BIM METHOD FOR MANHATTAN WORLD BUILDINGS FROM POINT CLOUD

Yuandong Pan1, Alex Braun1, André Borrmann1, Ioannis Brilakis2

1Technical University of Munich, Germany; 2University of Cambridge, UK

The automated generation of 3D models of buildings from point clouds is under heavy research. Currently, this Scan-to-BIM process requires high manual effort, and the previous research in buildings under low occlusion level. We propose a novel “void-growing” approach that extracts walls, floors, and ceilings automatically. Different from the majority of current approaches starting with detecting surfaces of elements, our approach grows the void volume space inside a room first and it performs well in occluded environments. It can reconstruct simple cuboid rooms and complex rooms like L-shape and U-shape rooms. Different ceiling heights caused by suspended ceilings can also be represented.



11:20am - 11:40am

Generating Railway Geometric Digital Twins from Airborne LiDAR Data

M R Mahendrini Fernando Ariyachandra, Ioannis Brilakis

Department of Engineering, University of Cambridge, United Kingdom

The cost of the railway digital twinning process counteracts the expected benefits of the resulting model. State-of-the-art methods yielded promising results, yet they could not offer large-scale digital twinning required over kilometres without forfeiting precision and manual cost. The proposed framework exploits the potential of railway topology to perform better when detecting and modelling the geometry of railway elements in railway point clouds with varying geometric patterns. Experiments on 18 km railway datasets illustrate that the framework improves the current cost and benefit ratio by reducing the overall twinning time by 90% without using any prior information.



11:40am - 12:00pm

APPLICATION OF GPR-TECHNOLOGY FOR IDENTIFYING THE MATERIAL COMPOSITION OF BUILDING COMPONENTS

Meliha Honic1, Alois Hinterleitner2, Ingrid Schloegel2, Iva Kovacic1, Marijana Sreckovic1

1TU Wien, Institute for Interdisciplinary Building Process Management; 2Central Institute for Meteorology and Geodynamics, Department for Geophysics, Vienna, Austria

Currently various technologies are used in order to determine the geometry of existing buildings, however there is no established technology to identify the material composition of buildings. The state-of-the-art material identification of existing buildings is conducted manually through destructive methods, which is not accurate enough and cannot be applied in the operation phase. Within this paper, ground penetrating radar (GPR) technology is applied on a real use case to determine the material composition of buildings. The state-of-the-art and high-tech GPR methods are compared regarding costs and time effort. Results show, that the GPR has great potential, but requires further optimizations.



 
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