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APPLICATION OF STEEL REINFORCED COMPOSITES FOR STRENGTHENING OF REINFORCED CONCRETE BEAMS AND COLUMNS: EXPERIMENTAL, ANALYTICAL, NUMERICAL, AND MACHINE LEARNING BASED STUDIES
(Civil Engineering, 06-2 , Dissertation)
The use of steel reinforced composites (SRC) has emerged as a cost-effective and promising solution for the strengthening of reinforced concrete (RC) structures. The strengthening system in SRC comprises a unidirectional ...
DEVELOPING A COMPREHENSIVE AI-POWERED DIGITAL TRANSFORMATION FRAMEWORK
(Engineering Management, 2024 , Dissertation)
Digital transformation, powered by artificial intelligence (AI), is transforming, and reshaping organizational strategies and operational efficiencies. While much of the research has focused on the technical aspects of AI ...
FPGA-BASED ENERGY-EFFICIENT HIGH-SPEED LDPC CHANNEL CODING SCHEME FOR CUBESAT
(Electrical Engineering, 2023 , Master Thesis)
With the rapidly increasing demand on reliable high-speed connectivity resulting from advancements in many technologies, constellations of CubeSats present a promising opportunity to meet these demands. However, establishing ...
CONVERSION OF FLARE GAS TO POWER USING SUPERCRITICAL CO2 POWER CYCLE – ENERGY, EXERGY, AND THERMOECONOMIC ANALYSES
(Mechanical Engineering, 06-2 , Master Thesis)
An increase in oil and gas production is associated with the increase in energy demand around the world. This increase in producing fuels is correlated with an increase in flaring process, which is a wasted energy unless ...
ENERGY ABSORPTION CAPABILITIES OF THIN-WALLED MULTI-CELL CORRUGATED TAPERED TUBES UNDER AXIAL AND OBLIQUE IMPACT LOADING CONDITIONS
(Mechanical Engineering, 2023 , Master Thesis)
Progressive collapse behavior, high energy absorption, low manufacturing cost, and lightweight made the thin-walled structures a great safety device in the automotive industry for crash energy absorption. In this thesis, ...
CARBON DIOXIDE CAPTURE AND HYDROGENATION TO METHANOL USING CU-BASED DUAL FUNCTIONAL MATERIALS
(Environmental Engineering, 2023 , Master Thesis)
The industrial revolution and energy demand have significantly increased greenhouse gas emissions, among them carbon dioxide (CO2), which is responsible for severe environmental concerns such as climate change. To this ...
Generative Adversarial Networks as a Method to Predict Stresses in Structures
(Mechanical Engineering, 2021 , Master Thesis)
There have been continuous advances in the field of Finite Element Analysis (FEA) allowing designers, architects, engineers and the public at large increasing ease and access. The methods of implementation however, have ...