Browsing by Author "Amor, Nesrine"

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    Combined Use of Modal Analysis and Machine Learning for Materials Classification
    Abdelkader, Mohamed; Noman, Muhammad Tayyab; Amor, Nesrine; Petru, Michal; Mahmood, Aamir (MDPI, 2021-07-30)
    The present study deals with modal work that is a type of framework for structural dynamic testing of linear structures. Modal analysis is a powerful tool that works on the modal parameters to ensure the safety of materials and eliminate the failure possibilities. The concept of classification through this study is validated for isotropic and orthotropic materials, reaching up to a 100% accuracy when deploying the machine learning approach between the mode number and the associated frequency of the interrelated variables that were extracted from modal analysis performed by ANSYS. This study shows a new classification method dependent only on the knowledge of resonance frequency of a specific material and opens new directions for future developments to create a single device that can identify and classify different engineering materials.
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    Geopolymers and Fiber-Reinforced Concrete Composites in Civil Engineering
    Mahmood, Aamir; Noman, Muhammad Tayyab; Pechočiaková, Miroslava; Amor, Nesrine; Petru, Michal; Abdelkader, Mohamed; Militký, Jiří; Sozcu, Sebnem; Hassan, Syed Zameer Ul (MDPI, 2021-06-25)
    This paper discusses the influence of fiber reinforcement on the properties of geopolymer concrete composites, based on fly ash, ground granulated blast furnace slag and metakaolin. Traditional concrete composites are brittle in nature due to low tensile strength. The inclusion of fibrous material alters brittle behavior of concrete along with a significant improvement in mechanical properties i.e., toughness, strain and flexural strength. Ordinary Portland cement (OPC) is mainly used as a binding agent in concrete composites. However, current environmental awareness promotes the use of alternative binders i.e., geopolymers, to replace OPC because in OPC production, significant quantity of CO2 is released that creates environmental pollution. Geopolymer concrete composites have been characterized using a wide range of analytical tools including scanning electron microscopy (SEM) and elemental detection X-ray spectroscopy (EDX). Insight into the physicochemical behavior of geopolymers, their constituents and reinforcement with natural polymeric fibers for the making of concrete composites has been gained. Focus has been given to the use of sisal, jute, basalt and glass fibers.