Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN
Precast Seismic Structural Systems (PRESSS) provided an iterative procedure for obtaining optimum design of unbonded post-tensioned coupled precast concrete wall systems. Although PRESSS procedure is effective, however, it is lengthy and laborious. The purpose of this research is to employ Artificia...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2014
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/8548 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513440820756480 |
|---|---|
| author | Abdalla, Jamal |
| author2 | Elias, Saqan Hawileh, Rami |
| author2_role | author author |
| author_facet | Abdalla, Jamal Elias, Saqan Hawileh, Rami |
| author_role | author |
| dc.creator.none.fl_str_mv | Abdalla, Jamal Elias, Saqan Hawileh, Rami |
| dc.date.none.fl_str_mv | 2014-04 2016-10-19T07:17:21Z 2016-10-19T07:17:21Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Abdalla, Jamal A., Elias Saqan, and Rami Hawileh. "Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN." Computers and Concrete, An Int'l Journal 13, no. 4 (2014): 547-567 1943-541X http://hdl.handle.net/11073/8548 10.12989/cac.2014.13.4.547 |
| dc.language.none.fl_str_mv | en_US |
| dc.relation.none.fl_str_mv | Computers and Concrete https://dx.doi.org/10.12989/cac.2014.13.4.547 |
| dc.subject.none.fl_str_mv | seismic design precast concrete wall unbonded post-tensioned neural network PRESSS |
| dc.title.none.fl_str_mv | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Precast Seismic Structural Systems (PRESSS) provided an iterative procedure for obtaining optimum design of unbonded post-tensioned coupled precast concrete wall systems. Although PRESSS procedure is effective, however, it is lengthy and laborious. The purpose of this research is to employ Artificial Neural Network (ANN) to predict the optimum design parameters for such wall systems while avoiding the demanding iterative process. The developed ANN model is very accurate in predicting the non-dimensional optimum design parameters related to post-tensioning reinforcement area, yield force of shear connectors and ratio of moment resisted by shear connectors to the design moment. The Mean Absolute Percent Error (MAPE) for the test data for these design parameters is around %1 and the correlation coefficient is almost equal to 1.0. The developed ANN model is then used to study the effect of different design parameters on wall behavior. It is observed that the design moment and the concrete strength have the most influence on the wall behavior as compared to other parameters. Several design examples were presented to demonstrate the accuracy and effectiveness of the ANN model. |
| format | article |
| id | aus_07c00394f22c2c0dfe2f3fea9f271f64 |
| identifier_str_mv | Abdalla, Jamal A., Elias Saqan, and Rami Hawileh. "Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN." Computers and Concrete, An Int'l Journal 13, no. 4 (2014): 547-567 1943-541X 10.12989/cac.2014.13.4.547 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/8548 |
| publishDate | 2014 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANNAbdalla, JamalElias, SaqanHawileh, Ramiseismic designprecast concrete wallunbonded post-tensionedneural networkPRESSSPrecast Seismic Structural Systems (PRESSS) provided an iterative procedure for obtaining optimum design of unbonded post-tensioned coupled precast concrete wall systems. Although PRESSS procedure is effective, however, it is lengthy and laborious. The purpose of this research is to employ Artificial Neural Network (ANN) to predict the optimum design parameters for such wall systems while avoiding the demanding iterative process. The developed ANN model is very accurate in predicting the non-dimensional optimum design parameters related to post-tensioning reinforcement area, yield force of shear connectors and ratio of moment resisted by shear connectors to the design moment. The Mean Absolute Percent Error (MAPE) for the test data for these design parameters is around %1 and the correlation coefficient is almost equal to 1.0. The developed ANN model is then used to study the effect of different design parameters on wall behavior. It is observed that the design moment and the concrete strength have the most influence on the wall behavior as compared to other parameters. Several design examples were presented to demonstrate the accuracy and effectiveness of the ANN model.2016-10-19T07:17:21Z2016-10-19T07:17:21Z2014-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAbdalla, Jamal A., Elias Saqan, and Rami Hawileh. "Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN." Computers and Concrete, An Int'l Journal 13, no. 4 (2014): 547-5671943-541Xhttp://hdl.handle.net/11073/854810.12989/cac.2014.13.4.547en_USComputers and Concretehttps://dx.doi.org/10.12989/cac.2014.13.4.547oai:repository.aus.edu:11073/85482024-08-22T12:16:14Z |
| spellingShingle | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN Abdalla, Jamal seismic design precast concrete wall unbonded post-tensioned neural network PRESSS |
| status_str | publishedVersion |
| title | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN |
| title_full | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN |
| title_fullStr | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN |
| title_full_unstemmed | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN |
| title_short | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN |
| title_sort | Optimum seismic design of unbonded post-tensioned precast concrete walls using ANN |
| topic | seismic design precast concrete wall unbonded post-tensioned neural network PRESSS |
| url | http://hdl.handle.net/11073/8548 |