A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects

Adoption of a streamlined BIM workflow throughout the AEC projects’ lifecycle will provide the project stakeholders with the rich information embedded in the parametric design models. Users can incorporate this rich information in various activities, improving efficiency and productivity of project activities and potentially enhancing accuracy and reducing errors and reworks. Two main challenges for such a streamlined information flow throughout the AEC projects that haven’t been sufficiently addressed by previous research efforts include lack of semantic interoperability and a large gap and misalignment of information between available BIM information provided by design activities and the required information for performing preconstruction and construction activities. This research effort proposes a framework for a knowledge-based system (KBS) that encapsulates domain experts’ knowledge and represents it through modularized rule set libraries as well as connected design automation and optimization solutions. The research attempts to provide a methodology for automatic semantic enrichment of design models as well as automated detailed design to fill the information gap between design and preconstruction project activities, streamlining BIM workflow and enhancing its value in the AEC projects.

Level thesis:degree_level

Doctoral

Department dc:contributor.department

Architecture

Grantor dc:publisher

Georgia Institute of Technology

Year dc:date.issued

2015

Author dc:creator

• Aram, Shiva

Advisors dc:contributor.advisor

• Eastman, Charles M.
• Sacks, Rafael

Committee members dc:contributor.committeemember

• Orndorff, David
• Beetz, Jakob
• Gentry, T. Russell

• Knowledge-based systems
• KBS
• Semantic enrichment
• Automated design
• BIM
• IFC
• QTO
• Quantity take-off
• Cost estimation
• Precast concrete
• Reasoning

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1853/53496

OAI identifier oai:identifier

oai:repository.gatech.edu:1853/53496