Show simple item record

dc.contributor.advisorKurtis, Kimberly E.
dc.contributor.advisorEastman, Charles M.
dc.contributor.authorZhang, Sijie
dc.date.accessioned2014-08-27T13:37:15Z
dc.date.available2014-08-27T13:37:15Z
dc.date.created2014-08
dc.date.issued2014-06-27
dc.date.submittedAugust 2014
dc.identifier.urihttp://hdl.handle.net/1853/52235
dc.description.abstractSafety of workers in the construction environment remains one of the greatest challenges faced by the construction industry today. Activity-based hazard identification and prevention is limited because construction safety information and knowledge tends to be scattered and fragmented throughout safety regulations, accident records, and experience. With the advancement of information technology in the building and construction industry, a missing link between effective activity-level construction planning and Building Information Modeling (BIM) becomes more evident. The objectives of this study are 1) to formalize the safety management knowledge and to integrate safety aspects into BIM, and 2) to facilitate activity-based hazard identification and prevention in construction planning. To start with, a Construction Safety Ontology is created to organize, store, and re-use construction safety knowledge. Secondly, activity-based workspace visualization and congestion identification methods are investigated to study the hazards caused by the interaction between activities. Computational algorithms are created to process and retrieve activity-based workspace parameters through location tracking data of workers collected by remote sensing technology. Lastly, by introducing workspace parameters into ontology and connecting the ontology with BIM, automated workspace analysis along with job hazard analysis are explored. Results indicate that potential safety hazards can be identified, recorded, analyzed, and prevented in BIM. This study integrates aspects of construction safety into current BIM workflow, which enables performing hazard identification and prevention early in the project planning phase.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectConstruction safety
dc.subjectSafety planning
dc.subjectBuilding information modeling
dc.subjectBIM
dc.subjectOntology
dc.subjectRule checking
dc.subjectHazard identification
dc.subjectHazard prevention
dc.subjectWorkspace analysis
dc.subjectFall hazards
dc.titleIntegrating safety and BIM: automated construction hazard identification and prevention
dc.typeDissertation
dc.description.degreePh.D.
dc.contributor.departmentCivil and Environmental Engineering
thesis.degree.levelDoctoral
dc.contributor.committeeMemberCho, Yong K.
dc.contributor.committeeMemberHaymaker, John
dc.contributor.committeeMemberKahn, Lawrence F.
dc.date.updated2014-08-27T13:37:15Z


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record