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
DAASR 5: Data Acquisition, Analysis, Simulation & Resilience 5
Time:
Friday, 12/Jul/2019:
2:00pm - 3:40pm

Session Chair: Uwe Rueppel
Location: Imperial main

BIM and information management


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Presentations

An IFC data preparation workflow for building energy performance simulation

Kyriakos I Katsigarakis1, Georgios I Giannakis1, Georgios Nektarios Lilis1, Dimitrios V Rovas2

1Technical University of Crete, Greece; 2University College London, UK

Katsigarakis-An IFC data preparation workflow for building energy performance simulation-188-2019-06-20_17-16.pdf


Construction progress visualisation for varied stages of the individual elements with BIM: A case study

Daniel Kazado1, Miroslava Kavgic1, Esin Ergen2

1Department of Civil Engineering, University of Manitoba, Winnipeg MB, Canada; 2Civil Engineering Department, Istanbul Technical University, Istanbul, Turkey

Kazado-Construction progress visualisation for varied stages-172-2019-06-18_09-44.pdf


Optimum topological configurations of sensor networks

Rita Greco1, Giuseppe Carlo Marano2

1Polytechnic of Bari, Italy; 2Polytechnic of Turin, Italy

Greco-Optimum topological configurations of sensor networks-206-2019-06-28_17-59.pdf


Precise reconstruction of geometric primitives in built environments

Lingling Wang, Hanbin Luo, Ying Zhou, Cheng Zhou

School of Civil Engineering and Mechanics, Huazhong Univ. of Science and Technology, China, People's Republic of

Wang-Precise reconstruction of geometric primitives in built environments-165-2019-06-12_18-05.pdf


Towards a methodology for quantifying the benefits of BIM

Ilias Krystallis1, Eleni Papadonikolaki1, Giorgio Locatelli2, Ornella Iuorio2

1University College London, United Kingdom; 2University of Leeds, United Kingdom

Krystallis-Towards a methodology for quantifying the benefits-138-2019-06-18_11-40.pdf