Title:
Manufacturing compliance analysis for architectural design: a knowledge-aided feature-based modeling framework

dc.contributor.advisor Gentry, T. Russell
dc.contributor.advisor Eastman, Charles M.
dc.contributor.author Valdes, Francisco Javier
dc.contributor.committeeMember Haymaker, John
dc.contributor.committeeMember Brown, Jason
dc.contributor.committeeMember Caravati, Kevin
dc.contributor.department Architecture
dc.date.accessioned 2016-05-27T13:12:41Z
dc.date.available 2016-05-27T13:12:41Z
dc.date.created 2016-05
dc.date.issued 2016-03-29
dc.date.submitted May 2016
dc.date.updated 2016-05-27T13:12:41Z
dc.description.abstract Given that achieving nominal (all dimensions are theoretically perfect) geometry is challenging during building construction, understanding and anticipating sources of geometric variation through tolerances modeling and allocation is critical. However, existing building modeling environments lack the ability to support coordinated, incremental and systematic specification of manufacturing and construction requirements. This issue becomes evident when adding multi-material systems produced off site by different vendors during building erection. Current practices to improve this situation include costly and time-consuming operations that challenge the relationship among the stakeholders of a project. As one means to overcome this issue, this research proposes the development of a knowledge-aided modeling framework that integrates a parametric CAD tool with a system modeling application to assess variability in building construction. The CAD tool provides robust geometric modeling capabilities, while System Modeling allows for the specification of feature-based manufacturing requirements aligned with construction standards and construction processes know-how. The system facilitates the identification of conflicting interactions between tolerances and manufacturing specifications of building material systems. The expected contributions of this project are the representation of manufacturing knowledge and tolerances interaction across off-site building subsystems to identify conflicting manufacturing requirements and minimize costly construction errors. The proposed approach will store and allocate manufacturing knowledge as Model-Based Systems Engineering (MBSE) design specifications for both single and multiple material systems. Also, as new techniques in building design and construction are beginning to overlap with engineering methods and standards (e.g. in-factory prefabrication), this project seeks to create collaborative scenarios between MBSE and Building Information Modeling (BIM) based on parametric, simultaneous, software integration to reduce human-to-data translation errors, improving model consistency among domains. Important sub-stages of this project include the comprehensive review of modeling and allocation of tolerances and geometric deviations in design, construction and engineering; an approach for model integration among System Engineering models, mathematical engines and BIM (CAD) models; and finally, a demonstration computational implementation of a System-level tolerances modeling and allocation approach.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/54973
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject BIM
dc.subject SysML
dc.subject System modeling
dc.subject Model based systems engineering
dc.subject Architecture
dc.subject Construction tolerances
dc.title Manufacturing compliance analysis for architectural design: a knowledge-aided feature-based modeling framework
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Gentry, T. Russell
local.contributor.corporatename College of Design
local.contributor.corporatename School of Architecture
local.relation.ispartofseries Doctor of Philosophy with a Major in Architecture
relation.isAdvisorOfPublication 26bfc4a4-7a1d-45e4-8f3c-5f59402773ae
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
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