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

Session Chair: Uwe Rueppel
Location: Imperial main

BIM and information management

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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

Accurate building energy performance simulation model generation from IFC data files require the input IFC data to be correct and complete. To ensure such data quality conditions, methods integrating IFC data correctness and completeness checks, under a common architecture, are introduced. IFC data correctness is supported by the use of a dedicated geometric error detection tool, which identifies and reports back to the building designer, errors affecting the building's 2nd-level space boundary topology. IFC data completeness is performed by the use of a dedicated for building energy performance simulation Model View Definition schema. The quality checking results are reported in a BIM collaboration file format.

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

Building information modeling (BIM) ?is an intelligent 3D design and modeling process that gives architects, engineers, construction and facility managers the ability and tools to plan, design, construct and manage buildings more effectively and efficiently. Currently, the construction progress is monitored by comparing the baseline project schedules, which include the planned dates and resources, with the actual dates in the updated schedules. 4D scheduling is used in the construction industry for linking individual model elements with the schedule activities to visualize the progress of construction activities. Also, it provides analyzing tools in the 3D environment to improve the efficiency of project management, such as earned value analysis, project critical path analysis, and analysis of resource allocation. However, the limitation of this approach is a need for the creation of a dedicated activity for monitoring each model element, which can result in an excessive number of activities. Similarly, the required volume of data limits the generation of a dedicated activity for multiple statuses of building elements, such as “testing an element,” and “inspecting an element’. This paper presents a construction progress visualization method, which uses a custom developed add-in to present the status of building elements (e.g., planned, installed) without linking them with the schedule. The new tool enables a visual presentation of the progress of each element within the BIM model during different stages of the construction process to increase the decision-making capabilities. A case study is used to demonstrate the capabilities of the developed BIM add-in tool for construction progress visualization.

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

mportant task in the dynamic assessment of the mechanical systems and its role is central in structural health monitoring. All sensors have to be placed on the structure so that all sought system features be obtained from the experimental tests. Sensors network design is rather diffused in laboratory applications, but there are scarce investigations on real civil structures and they are not so well documented. In order to give a contribution in this framework, the present paper deals with the optimal sensors placement problem on lattice towers. With reference to six of the most diffused existing optimum criteria and according to

mechanical and energetic formulations, several sensors network configurations are calculated for two example broadcasting antennas, adopted as benchmark cases of studies. The final topological configurations of the networks are compared and the most relevant differences are discussed. Moreover, the information content behaviour is computed to investigate the connection between sensors network topology and its ability to withstand the presence of undesired signals (e.g., noise) during the measurements. The results here illustrated may be useful for sensors network design for this special class of structures.

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

Precise reconstruction of the built environment is very useful for the management of the construction site. As far as the reconstruction of large-scale built environments is concerned, the reconstruction effect still needs to be further improved. Considering that most of the structures are piece-wise planar/linear in the built environment, this paper proposes a method for reconstructing the geometric structure of the scene that display its appearance precisely. This method focuses on reconstructing objects with plane and edge structures, such as buildings, to achieve the reproduction of their geometry. The paper introduces a new dense reconstruction algorithm, the patch based stereo matching algorithm to refine a sparse point cloud to produce a dense point cloud. This method further merges three-dimensional (3D) line into the dense point cloud to optimize the geometric line of the model. The experiment demonstrates that the improved method has a flawless reconstruction effect on the geometric primitives of buildings.

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

The adoption of Building Information Modelling (BIM) which offers integrated software and processes for digital delivery, is becoming imperative for the UK construction industry. Literature thus far is unclear if the benefits claimed by the industry are exaggerated for commercial reasons. Our exploratory study investigates how the benefits of adopting BIM can be quantified. The findings reported through a focus group of industry experts specialising in digital innovation offers a reality check at project/firm/sector level to scrutinize the benefits and costs of BIM. The key results offer four areas the construction sector could further investigate to report monetary benefits and costs of BIM. The study thus provides insight into how businesses can develop a robust but adaptable methodology for capturing BIM costs and benefits.

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

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