Applications of GIS-Enhanced Networks of Engineering Information

Article Preview

Abstract:

The current manner in which engineering data, especially the structural details of buildings and infrastructure, is managed is highly inefficient and leads to a wide variety of unnecessary costs and risks. The revolution in Building Information Modelling (BIM) has given designers the ability to perform useful technical analysis on lifelike models and representations of a future structure. Consequently, the quantity of information being produced for a typical project, and the cost of producing that information, has increased substantially. This is driving a shift towards better systems of data storage and sharing. It is the contention of this report to demonstrate that structural design is a process which can be largely divided, automated, and outsourced. The conclusion reached is that a Building Information Model, when linked with a Geographical Information System (GIS), could provide enough information to conduct the entire design process. It is upon this basis that a radical new system for the post-construction storage and sharing of BIM is proposed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1672-1679

Citation:

Online since:

October 2013

Export:

Price:

[1] A. Casas, Spreadsheets: A New Design Tool, Civil Engineering Magazine. 56 (1986) 66-67.

Google Scholar

[2] D. Jenkins. 2009. Downloads – Newton Excel Bach., Viewed 03/08/2012 http: /newtonexcelbach. wordpress. com/downloads.

Google Scholar

[3] B. Succar, Building information modelling framework: A research and delivery foundation for industry stakeholders, Automation in Construction. 18 (2009) 66-67.

DOI: 10.1016/j.autcon.2008.10.003

Google Scholar

[4] BuildingSMART International. 2012. About us., Viewed 27/08/2012 at http: /buildingsmart. com/about-us.

Google Scholar

[5] Graphisoft. 2012. Open BIM Program., Viewed 27/08/2012 at http: /www. graphisoft. com/openbim.

Google Scholar

[6] I. Foster, Y. Zhao, I. Raicu, S. Lu, Cloud Computing and Grid Computing 360-Degree Compared, Grid Computing Environments Workshop. (2008).

DOI: 10.1109/gce.2008.4738445

Google Scholar

[7] RMIT University. 2012. RMIT has gone Google., Viewed 11/09/2012 at http: /www. rmit. edu. au/googleapps.

Google Scholar

[8] Autodesk, Inc. 2012. Features and Services., Viewed 11/09/2012 at https: /360. autodesk. com/features.

Google Scholar

[9] K.E. Foote, M. Lynch, Geographic Information Systems as an Integrating Technology: Context, Concepts and Definitions, The Geographer's Craft Project, Department of Geography, The University of Colorado at Boulder. (1995).

Google Scholar

[10] Penn State University. 2009. Security Models and Architecture., Viewed 20/02/2013 at http: /www. personal. psu. edu/gms/fa09/456-lec10. htm.

Google Scholar

[11] Nearmap Pty Ltd. 2012. Nearmap Community Licence., Viewed 12/09/2012 at http: /files. nearmap. com/public/website/legal/nearmap-community-licence. pdf.

Google Scholar

[12] Nearmap Pty Ltd. 2012. Terms of use., Viewed 20/02/2013 at http: /www. nearmap. com/getattachment/Legal-Information/Terms-of-use/T-Cs_V2. pdf. aspx.

Google Scholar

[13] U.S. Department of Homeland Security, Federal Emergency Management Agency Region IX; California Governor's Office of Emergency Services, San Francisco Bay Area Earthquake Readiness Response: Concept of Operations Plan (Interim and Public Version). (2008).

Google Scholar

[14] Applied Science International. 2009. Seismic Analysis., Viewed 20/02/2013 at http: /www. extremeloading. com/Application. aspx/SeismicAnalysis.

Google Scholar