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dc.contributor.authorAlmusharraf, Abdullah Musharraf
dc.contributor.supervisorAssoc. Prof. Andrew Whyte
dc.contributor.supervisorProf. David Scott
dc.date.accessioned2017-01-30T10:12:48Z
dc.date.available2017-01-30T10:12:48Z
dc.date.created2015-12-18T00:48:06Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/20.500.11937/1781
dc.description.abstract

To address construction defects, sub-task requirements (STRs) were generated alongside a Bayesian belief network-BBN quantification, towards the modelling of a unique causation pattern. The study found that the patterns of direct causes of deviation from quality norms are unique for each STR, and that causation patterns cannot be generalised. The work conducted provides Building-Quality-Managers with a new visualization tool to clarify the STR-specific cause of quality deviation pathways when creating the built environment.

dc.languageen
dc.publisherCurtin University
dc.titleQuality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause
dc.typeThesis
dcterms.educationLevelPhD
curtin.departmentDepartment of Civil Engineering
curtin.accessStatusOpen access


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