Computational Inverse Analysis of Prestressed Concrete Structures
| dc.contributor.author | Dezire, Mikael Etienne | |
| dc.date.accessioned | 2016-09-01T10:37:10Z | |
| dc.date.available | 2016-09-01T10:37:10Z | |
| dc.date.issued | 2015 | |
| dc.date.updated | 2016-09-01T10:36:00Z | |
| dc.description.abstract | Prestressed concrete has gain popularity in the civil engineering industry and found its use in structures such as bridges, nuclear power vessels, monumental towers etc. Conventional approach in designing and analyzing prestressed concrete structures consists of using experimental methods to get an actual real life response of the structure. This method, although accurate, is extremely time consuming and hence inefficient in real life work industry. This limitation can be compensated with the use of computational software where the Finite Element Method is employed. The latter alternative reveals to be much more accurate and knows no bound on the level of complexities of the structure for the analysis (Varghese and Valsson, 2012). Considering the non-linear stress-strain relationship of concrete when subjected to strain of high order magnitude, non-linear elastic constitutive laws, already part of the framework of SEKSA, were chosen and calibrated for the study. SESKA is a structural analysis software developed by Dr. Sebastian Skatulla. The two material laws used for the process were; Neo Hookean hyperelastic material and hypoelastic material. Furthermore, upon the calibration of the required constitutive material law, implementation of an additive anisotropic material model was done by Dr. Sebastian Skatulla in an attempt to model for reinforced concrete. In the case of the modelling of the composite material of concrete with prestressing steel tendon embedded into it, the additive anisotropic material law was further developed into a prestressed body force which would represent the action of prestressing forces acting on the surface of the concrete in the anchorage area. In computational analysis, a conventional forward method is usually used, whereby the analysis follows the construction sequence of the prestressed concrete. Although the method presents some advantages, it is limited in terms of achieving a desired deformed configuration in the final stage of the constructions sequence. This study proposes an alternative to the problem, where an inverse analysis method is introduced. The method can predict the undeformed stress-free configuration of the prestressed structures from the final known deformed configuration of the structure. Therefore, in this study, a methodology on the use of the inverse analysis method in the computational analysis of prestressed concrete is proposed, and its validation was done based on the results obtained. The method was tested on complex civil engineering megastructure to show its relevance on the area of study. For instance, a precast member from the famous Vasco da Gama Bridge was ultimately used in the computational analysis. | |
| dc.identifier.apacitation | 2015. <i>Computational Inverse Analysis of Prestressed Concrete Structures.</i> http://hdl.handle.net/11427/21642 | en_ZA |
| dc.identifier.chicagocitation | . 2015. <i>Computational Inverse Analysis of Prestressed Concrete Structures.</i> http://hdl.handle.net/11427/21642 | en_ZA |
| dc.identifier.citation | Dezire, M. E. (2015). Computational Inverse Analysis of Prestressed Concrete Structures (Unpublished bachelor's thesis). University of Cape Town. | |
| dc.identifier.ris | TY - AU - Dezire, Mikael Etienne AB - Prestressed concrete has gain popularity in the civil engineering industry and found its use in structures such as bridges, nuclear power vessels, monumental towers etc. Conventional approach in designing and analyzing prestressed concrete structures consists of using experimental methods to get an actual real life response of the structure. This method, although accurate, is extremely time consuming and hence inefficient in real life work industry. This limitation can be compensated with the use of computational software where the Finite Element Method is employed. The latter alternative reveals to be much more accurate and knows no bound on the level of complexities of the structure for the analysis (Varghese and Valsson, 2012). Considering the non-linear stress-strain relationship of concrete when subjected to strain of high order magnitude, non-linear elastic constitutive laws, already part of the framework of SEKSA, were chosen and calibrated for the study. SESKA is a structural analysis software developed by Dr. Sebastian Skatulla. The two material laws used for the process were; Neo Hookean hyperelastic material and hypoelastic material. Furthermore, upon the calibration of the required constitutive material law, implementation of an additive anisotropic material model was done by Dr. Sebastian Skatulla in an attempt to model for reinforced concrete. In the case of the modelling of the composite material of concrete with prestressing steel tendon embedded into it, the additive anisotropic material law was further developed into a prestressed body force which would represent the action of prestressing forces acting on the surface of the concrete in the anchorage area. In computational analysis, a conventional forward method is usually used, whereby the analysis follows the construction sequence of the prestressed concrete. Although the method presents some advantages, it is limited in terms of achieving a desired deformed configuration in the final stage of the constructions sequence. This study proposes an alternative to the problem, where an inverse analysis method is introduced. The method can predict the undeformed stress-free configuration of the prestressed structures from the final known deformed configuration of the structure. Therefore, in this study, a methodology on the use of the inverse analysis method in the computational analysis of prestressed concrete is proposed, and its validation was done based on the results obtained. The method was tested on complex civil engineering megastructure to show its relevance on the area of study. For instance, a precast member from the famous Vasco da Gama Bridge was ultimately used in the computational analysis. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Computational Inverse Analysis of Prestressed Concrete Structures TI - Computational Inverse Analysis of Prestressed Concrete Structures UR - http://hdl.handle.net/11427/21642 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/21642 | |
| dc.identifier.vancouvercitation | . 2015. <i>Computational Inverse Analysis of Prestressed Concrete Structures.</i> http://hdl.handle.net/11427/21642 | en_ZA |
| dc.language.iso | eng | |
| dc.publisher.department | Department of Civil Engineering | en_ZA |
| dc.publisher.faculty | Faculty of Engineering and the Built Environment | |
| dc.publisher.institution | University of Cape Town | |
| dc.title | Computational Inverse Analysis of Prestressed Concrete Structures | |
| dc.type | Other | |
| dc.type.qualificationlevel | Bachelor's Degree | |
| dc.type.qualificationname | BSc Engineering | |
| uct.type.filetype | Research | |
| uct.type.filetype | Text | |
| uct.type.filetype | Image |