Title:
A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects
A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects
dc.contributor.advisor | Eastman, Charles M. | |
dc.contributor.advisor | Sacks, Rafael | |
dc.contributor.author | Aram, Shiva | |
dc.contributor.committeeMember | Orndorff, David | |
dc.contributor.committeeMember | Beetz, Jakob | |
dc.contributor.committeeMember | Gentry, T. Russell | |
dc.contributor.department | Architecture | |
dc.date.accessioned | 2015-06-08T18:20:32Z | |
dc.date.available | 2015-06-08T18:20:32Z | |
dc.date.created | 2015-05 | |
dc.date.issued | 2015-06-08 | |
dc.date.submitted | May 2015 | |
dc.date.updated | 2015-06-08T18:20:32Z | |
dc.description.abstract | 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. | |
dc.description.degree | Ph.D. | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1853/53496 | |
dc.language.iso | en_US | |
dc.publisher | Georgia Institute of Technology | |
dc.subject | Knowledge-based systems | |
dc.subject | KBS | |
dc.subject | Semantic enrichment | |
dc.subject | Automated design | |
dc.subject | BIM | |
dc.subject | IFC | |
dc.subject | QTO | |
dc.subject | Quantity take-off | |
dc.subject | Cost estimation | |
dc.subject | Precast concrete | |
dc.subject | Reasoning | |
dc.title | A Knowledge-based system framework for semantic enrichment and automated detailed design in the AEC projects | |
dc.type | Text | |
dc.type.genre | Dissertation | |
dspace.entity.type | Publication | |
local.contributor.corporatename | College of Design | |
local.contributor.corporatename | School of Architecture | |
local.relation.ispartofseries | Doctor of Philosophy with a Major in Architecture | |
relation.isOrgUnitOfPublication | c997b6a0-7e87-4a6f-b6fc-932d776ba8d0 | |
relation.isOrgUnitOfPublication | 0533a423-c95b-41cf-8e27-2faee06278ad | |
relation.isSeriesOfPublication | 1e9dd6c5-039f-4195-b3b6-bc27d2df5b9f | |
thesis.degree.level | Doctoral |