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Optimum design of RC affordable housing
Efforts have been made to minimize the cost of affordable housing through modular construction, prefabrication, economies of scale and low cost materials. However, there is a gap in the literature regarding the integration of the varying sizes of the units with design optimization to mutually benefi...
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| Format: | Thesis |
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AUC Knowledge Fountain
2015
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| _version_ | 1867613416504426496 |
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| access_status_str | Open Access |
| author | Fathy, Amr Mostafa Hussein |
| author_browse | Fathy, Amr Mostafa Hussein |
| author_facet | Fathy, Amr Mostafa Hussein |
| author_sort | Fathy, Amr Mostafa Hussein |
| collection | Thesis |
| dc_rights_str_mv | The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. |
| description | Efforts have been made to minimize the cost of affordable housing through modular construction, prefabrication, economies of scale and low cost materials. However, there is a gap in the literature regarding the integration of the varying sizes of the units with design optimization to mutually benefit developers and potential residents of affordable homes. This research introduces an optimization model to integrate optimization with ranges of units' dimensions. The model proposed exploits the variations in the reinforced concrete cost versus area through applying several scenarios. Available options are tailored to optimize the reinforced concrete floor cost of housing units through varying the dimensions of the rooms. In addition to this objective, the thesis investigates the sensitivity of selected parameters on the model output. Through these objectives, the model is able to optimize housing units within a specified budget to result in layouts with varying areas where the model would recommend the layout with the least reinforced concrete cost per m2 within the budget range. In addition, it optimizes housing units within a specified area range to result in layouts with varying cost where the model would recommend the layout with the least reinforced concrete cost per m2 in the selected area range. The model has been applied on 2 case studies where it showed promising results. The research was able to optimize the cost for a given area or increase the area for a given cost. For example, it was able to decrease the cost by 15% for the same area. These percentages are based on the selected examples. Different savings may be achieved with other layouts. However, this is dependent largely on the initial design and dimensions of the unit. |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-2218 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:47.730Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-2218 Optimum design of RC affordable housing Fathy, Amr Mostafa Hussein Efforts have been made to minimize the cost of affordable housing through modular construction, prefabrication, economies of scale and low cost materials. However, there is a gap in the literature regarding the integration of the varying sizes of the units with design optimization to mutually benefit developers and potential residents of affordable homes. This research introduces an optimization model to integrate optimization with ranges of units' dimensions. The model proposed exploits the variations in the reinforced concrete cost versus area through applying several scenarios. Available options are tailored to optimize the reinforced concrete floor cost of housing units through varying the dimensions of the rooms. In addition to this objective, the thesis investigates the sensitivity of selected parameters on the model output. Through these objectives, the model is able to optimize housing units within a specified budget to result in layouts with varying areas where the model would recommend the layout with the least reinforced concrete cost per m2 within the budget range. In addition, it optimizes housing units within a specified area range to result in layouts with varying cost where the model would recommend the layout with the least reinforced concrete cost per m2 in the selected area range. The model has been applied on 2 case studies where it showed promising results. The research was able to optimize the cost for a given area or increase the area for a given cost. For example, it was able to decrease the cost by 15% for the same area. These percentages are based on the selected examples. Different savings may be achieved with other layouts. However, this is dependent largely on the initial design and dimensions of the unit. 2015-06-01T07:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/1219 https://fount.aucegypt.edu/context/etds/article/2218/viewcontent/MSc_20Thesis_20Optimum_20Design_20of_20RC_20Affordable_20Housing_20by_20Amr_20Mostafa_20Hussein_20Fathy.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. Theses and Dissertations AUC Knowledge Fountain affordable housing low-income housing |
| spellingShingle | affordable housing low-income housing Fathy, Amr Mostafa Hussein Optimum design of RC affordable housing |
| title | Optimum design of RC affordable housing |
| title_full | Optimum design of RC affordable housing |
| title_fullStr | Optimum design of RC affordable housing |
| title_full_unstemmed | Optimum design of RC affordable housing |
| title_short | Optimum design of RC affordable housing |
| title_sort | optimum design of rc affordable housing |
| topic | affordable housing low-income housing |
| url | https://fount.aucegypt.edu/etds/1219 https://fount.aucegypt.edu/context/etds/article/2218/viewcontent/MSc_20Thesis_20Optimum_20Design_20of_20RC_20Affordable_20Housing_20by_20Amr_20Mostafa_20Hussein_20Fathy.pdf |
| work_keys_str_mv | AT fathyamrmostafahussein optimumdesignofrcaffordablehousing |