COMPUTATIONAL MODELS FOR REINFORCED ULTRA HIGHPERFORMANCE FIBER REINFORCED CONCRETE COLUMNS UNDER AXIAL LOAD

Bertho, Christianus (2020) COMPUTATIONAL MODELS FOR REINFORCED ULTRA HIGHPERFORMANCE FIBER REINFORCED CONCRETE COLUMNS UNDER AXIAL LOAD. S1 thesis, Universitas Atma Jaya Yogyakarta.

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Abstract

Reinforcing concrete is one of the most common of construction material for a building. These days a new generation of concrete known as Ultra HighPerformance Fiber Reinforced Concrete (UHPFRC) has been discovered to the world. UHPFRC is not well known in Indonesia and just recently being study in Indonesia. It is important to know the behavior of this type of material, so in the future construction in Indonesia can use this type of concrete. UHPFRC is well known for its superior compressive strength and ductility. With higher compressive strength and ductility UHPFRC is more suitable for heavy loaded structural component such as column. The behavior of column under axial load is affected by the concrete strength and column steel reinforcement especially transverse reinforcement. The transverse reinforcement enhances the concrete core of column by confined it, making it have more strength and more ductility. Compressive test of column can also be done numerically by various finite element software. This study will perform computational model for UHPFRC column and calibrate the result with the experimental result performed by Sugano et al. in 2007. The computational model will be done in OpenSees Platform. Result indicates that the numerical model gives a good agreement with experimental data. There is still the need of development in the model to make the result closer to accuracy.

Item Type: Thesis (S1)
Uncontrolled Keywords: UHPFRC, Column, Axial loading, Finite element method, Concrete confinement.
Subjects: Civil Engineering > Structure
Divisions: Fakultas Teknik > Teknik Sipil Internasional
Depositing User: Editor 3 uajy
Date Deposited: 29 Sep 2022 08:18
Last Modified: 29 Sep 2022 08:18
URI: http://e-journal.uajy.ac.id/id/eprint/27510

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