Simplified predictive ANN model for ultimate compressive strength of circular RC columns using CFRP as confinement

Today, retrofitting structures became dominant due to the changes in codes and deterioration of structures. One way of retrofitting reinforced concrete (RC) structure columns is by the application of Carbon Fiber Reinforced Polymer (CFRP). This method uses epoxy resin as the binding materials togeth...

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Main Author: Ongpeng, Jason Maximino C.
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Published: Animo Repository 2008
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/8872
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-96732023-04-12T00:36:36Z Simplified predictive ANN model for ultimate compressive strength of circular RC columns using CFRP as confinement Ongpeng, Jason Maximino C. Today, retrofitting structures became dominant due to the changes in codes and deterioration of structures. One way of retrofitting reinforced concrete (RC) structure columns is by the application of Carbon Fiber Reinforced Polymer (CFRP). This method uses epoxy resin as the binding materials together with carbon fiber sheets to form a fiber-reinforced polymer matrix termed as CFRP wrapped arounc RC columns. The use of CFRP is found to be an effective technique of providing structural strengthening that is lighter, non-corrosive, and less labor intensive than the application of steel plate. At De La Salle University year 2006, experiments and testing of fabricated circular RC columns reinforced with CFRP were done to acquire numerous local data together with the author as the adviser of the researches. With these experimental data, conjunction of foreign published data and local data were used to conduct and analyze the strength performance of CFRP in concrete. From the Self Organized Map (SOM), two classifications were derived from the foreign and local data available. It was observed that the CFRP as a retrofitting material behaved in two ways: active and passive. If the volumetric ratio of steel is low, then the tendency of the CFRP will be active that causes higher development in ultimate confined compressive strength. If the volumetric ratio of steel is high, then the tendency of the CFRP will be passive that causes lower development in ultimate confined compressive strength. In Back-Propagation (BP), a simplified version of a model can be achieved having only 2 input parameters pcfrp (volumetric ratio of CFRP to concrete) and ps (volumetric ratio of steel ties to concrete). With these models, parametric studies were made to investigate the differences in the behavior of both classes. The combination of SOM and BP proves to be effective in classifying and promoting good preditions in the ultimate confined compressive strength of circular RC columns. 2008-05-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/8872 Faculty Research Work Animo Repository Carbon fiber-reinforced plastics—Testing Civil Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Carbon fiber-reinforced plastics—Testing
Civil Engineering
spellingShingle Carbon fiber-reinforced plastics—Testing
Civil Engineering
Ongpeng, Jason Maximino C.
Simplified predictive ANN model for ultimate compressive strength of circular RC columns using CFRP as confinement
description Today, retrofitting structures became dominant due to the changes in codes and deterioration of structures. One way of retrofitting reinforced concrete (RC) structure columns is by the application of Carbon Fiber Reinforced Polymer (CFRP). This method uses epoxy resin as the binding materials together with carbon fiber sheets to form a fiber-reinforced polymer matrix termed as CFRP wrapped arounc RC columns. The use of CFRP is found to be an effective technique of providing structural strengthening that is lighter, non-corrosive, and less labor intensive than the application of steel plate. At De La Salle University year 2006, experiments and testing of fabricated circular RC columns reinforced with CFRP were done to acquire numerous local data together with the author as the adviser of the researches. With these experimental data, conjunction of foreign published data and local data were used to conduct and analyze the strength performance of CFRP in concrete. From the Self Organized Map (SOM), two classifications were derived from the foreign and local data available. It was observed that the CFRP as a retrofitting material behaved in two ways: active and passive. If the volumetric ratio of steel is low, then the tendency of the CFRP will be active that causes higher development in ultimate confined compressive strength. If the volumetric ratio of steel is high, then the tendency of the CFRP will be passive that causes lower development in ultimate confined compressive strength. In Back-Propagation (BP), a simplified version of a model can be achieved having only 2 input parameters pcfrp (volumetric ratio of CFRP to concrete) and ps (volumetric ratio of steel ties to concrete). With these models, parametric studies were made to investigate the differences in the behavior of both classes. The combination of SOM and BP proves to be effective in classifying and promoting good preditions in the ultimate confined compressive strength of circular RC columns.
format text
author Ongpeng, Jason Maximino C.
author_facet Ongpeng, Jason Maximino C.
author_sort Ongpeng, Jason Maximino C.
title Simplified predictive ANN model for ultimate compressive strength of circular RC columns using CFRP as confinement
title_short Simplified predictive ANN model for ultimate compressive strength of circular RC columns using CFRP as confinement
title_full Simplified predictive ANN model for ultimate compressive strength of circular RC columns using CFRP as confinement
title_fullStr Simplified predictive ANN model for ultimate compressive strength of circular RC columns using CFRP as confinement
title_full_unstemmed Simplified predictive ANN model for ultimate compressive strength of circular RC columns using CFRP as confinement
title_sort simplified predictive ann model for ultimate compressive strength of circular rc columns using cfrp as confinement
publisher Animo Repository
publishDate 2008
url https://animorepository.dlsu.edu.ph/faculty_research/8872
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