Quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause
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 th...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Curtin University
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/1781 |
| _version_ | 1848743766578429952 |
|---|---|
| author | Almusharraf, Abdullah Musharraf |
| author_facet | Almusharraf, Abdullah Musharraf |
| author_sort | Almusharraf, Abdullah Musharraf |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T05:50:47Z |
| format | Thesis |
| id | curtin-20.500.11937-1781 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:50:47Z |
| publishDate | 2015 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-17812017-02-20T06:39:00Z Quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause Almusharraf, Abdullah Musharraf 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. 2015 Thesis http://hdl.handle.net/20.500.11937/1781 en Curtin University fulltext |
| spellingShingle | Almusharraf, Abdullah Musharraf Quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause |
| title | Quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause |
| title_full | Quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause |
| title_fullStr | Quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause |
| title_full_unstemmed | Quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause |
| title_short | Quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause |
| title_sort | quality deviation requirements in residential buildings: predictive modeling of the interaction between deviation and cause |
| url | http://hdl.handle.net/20.500.11937/1781 |