Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/6993
Title: Impact of integrating plastic wastes in concrete mixtures on the mechanical properties and the shear behavior of RC beams
Authors: Hussein, Amar
Advisors: Ghannoum, Maria
Keywords: Plastic wastes, finite element, lightweight-concrete, 4-point bending, Mazars damage model, mechanical properties, stochastic, stochastic finite element method
Subjects: Concrete--Mixing
Reinforced concrete--Testing
Recycling (Waste, etc.)
Plastics in building
University of Balamand--Dissertations
Dissertations, Academic
Issue Date: 2023
Abstract: 
A significant quantity of plastic wastes is produced each year. Wastes are considered as one of the most dangerous problems that could destroy the environment. This problem is generally the result of discarding these wastes in improper places. For this, we can incorporate recycled wastes into the concrete mixtures of beams in order to give the beams a good resistance before the first crack’s appearance and to give them the ability to resist big loads. For this and to be able to examine the mechanical properties of PET which will be used in concrete, numerous experimentations were tested, but limited finite element studies were examined. This research aims to numerically model a reinforced lightweight concrete beam under the 4-point bending system. Various mixes with various PET rates were utilized. The used rates of PET were 1.5,2,3, and 4.5%. The concrete’s behavior was described by the Mazars damage model. The spatial variability of concrete's mechanical properties was increased by the incorporation of PET. This variability was numerically introduced using Gaussian random fields method. To reproduce the mechanical behaviors of concrete having recycled PET, the stochastic finite element models were found to be a reliable tool. The mean and standard deviation of the maximum force as well as for the maximum deflection of a RC beam having various PET rates ranging between 0 and 4.5% were predicted using the stochastic finite element method.
Description: 
Includes bibliographical references (p. 66-69)
URI: https://scholarhub.balamand.edu.lb/handle/uob/6993
Rights: This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder
Ezproxy URL: Link to full text
Type: Thesis
Appears in Collections:UOB Theses and Projects

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