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Marianthi Leon, Richard Laing, Jake Loveday, David McClean and Sandy Beattie

Development of an Urban As-Built Model: The Case Study of Aberdeen

Abstract: This paper is focusing on the local strategic development plan for the city of Aberdeen, UK, and examines the initiation of applying a regeneration plan to the city centre. For that purpose, Aberdeen City Council commissioned Robert Gordon University to develop a 3D as-built model of the city centre. The researchers developed a novel process to tackle data acquisition for urban scale as-built visualisations that would afterwards promote stakeholders' collaboration. A workflow was developed and tested with the aim to provide not only geometric accurate data of the current state but also meta-data in relation to historic and future applications. Terrestrial LiDAR systems were employed and rapidly advancing hardware and software was tested, evaluated and utilised.This project aims to have an impact to the 3D data acquisition in relation to urban scale projects that apply Terrestrial Laser Scanning technologies. Furthermore, the suggested workflow can be generalised for the production of urban scale as-built models for the purposes of design and planning decision making and delivery of sustainable infrastructure, transportation systems and overall sustainable communities. The paper concludes with further suggestions for the generalisation of the process and its adaptation depending on the application, i.e. transportation, green spaces.

Keywords: 3D Laser Scanning, As-Built Modelling and Visualisation, Data Acquisition

DOI: https://doi.org/10.24928/JC3-2017/0141

Full text: content.pdf (11,550,306 bytes) (available to registered users only)

Series: jc3:2017 (browse)
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Pilgrim M, Bouchlaghem D, Holmes M, Loveday D

Visualisation in building design and analysis

Abstract: "Research on data visualisation is undergoing major developments in a number of different fields. These developments include investigating ways of applying visualisation techniques and systems for more efficient manipulation, interpretation and presentation of data. Research into applied visualisation has so far taken place in the fields of Computational Fluid Dynamics, Medicine, Social Sciences, and the Environment. In the built environment field however, the potential of new visualisation technologies to enhance the presentation of performance data from simulation programmes (of the type used by engineering design consultants, for example) has remained almost unexplored. Improvements in this area would lead to a better and more efficient use of these simulation programs and would facilitate the interpretation of such output data by construction industry professionals, leading to better, more informed design decisions. This paper presents an initial study on Data Visualisation and its effective use in the thermal analysis of buildings. Much of the current data visualisation in the engineering and scientific world focuses on very large data sets produced by applications such as FEA, CFD or GIS. As such the tools developed to date are often too expensive or not appropriate for the visualisation of the relatively smaller data sets produced by thermal analysis tools. The objective of the work summarised here was to develop a method of visualising the data produced by the thermal analysis tools which would run on an average desktop PC and be easy to maintain/customise and above all present the data in an intuitive manner. A workplace observational study of several engineers performing such an analysis revealed each was spending a significant amount of time manipulating the output within commercial spreadsheet packages. Further studies revealed the most common tasks were the inspection of predicted internal conditions, location of glazed elements transmitting significant solar radiation and the identification of high internal surface temperatures. Two applications were therefore proposed. The first is designed to automatically process the output within the spreadsheet environment. The second is designed to display the solution in three dimensions to aid spatial recognition and data navigation. The spreadsheet tools were developed over a period of several months and then released to all users of the analysis tools. The 3D tool was developed over a longer period and has been subjected to small group tests. Each tool was developed using Microsoft Visual Basic making them both easy to maintain and freely available. The 3D tool reads in flat text files produced by the analysis and automatically generates a framed HTML page with an embedded 3D VRML world describing the building and its results. This study shows that each of the proposed applications significantly improves some of the attributes associated with usability, namely; learnability, efficiency, memorability, errors and satisfaction. The spreadsheet tool increased efficiency and decreased errors but offered no real satisfaction. The 3D tool offers increased satisfaction but at present does not efficiently present all of the data required. Finally, It is possible to develop low cost Data Visualisation tools to improve the overall usability of a thermal analysis tool within a built environment consultantcy."

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Full text: content.pdf (404,505 bytes) (available to registered users only)

Series: w78:2000 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.social (0.027102) class.environment (0.018138) class.economic (0.016196)
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Permission to reproduce these documents have been graciously provided by Icelandic Building Research Institute. The assistance of the editor, Mr. Gudni Gudnason, is gratefully appreciated


Pilgrim M, Bouchlaghem D, Holmes M, Loveday D

Mobile devices for engineering analysis

Abstract: Handheld computers are now sufficiently small to be carried casually and as such it is evermore common to find engineers with these devices. This paper explorers the possibility of providing remote accesses to typically office bound analytical software from these devices. With particular emphasis on the design of both input and output human computer interaction.

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Full text: content.pdf (951,901 bytes) (available to registered users only)

Series: w78:2002 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.man-software (0.035756) class.man-man (0.027746) class.analysis (0.008044)
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Permission to reproduce these documents have been graciously provided by the Aarhus School of Architecture, Denmark. The assistnace of the editor, Prof. Kristian Agger, is gratefully aprecciated.


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