Graduate Research
Published on 1 March, 2024
Type: Public Opinions' Online Survey Data Analysis
Title: Exploring Railway Service Quality in Bangladesh: An Ordinal Logistic Regression Approach.
My Role: Survey data collection, data sorting, literature review.
Findings: The investigations' main goal was to identify the shortcomings of BD Railway Service and show the possible solutions for future improvement. But due to online data collection biases, most of the service quality factors were found to be statistically insignificant while calculating overall passenger satisfaction (OPS). Overall, the empirical findings of this study showed that regular passengers believe the rail transportation system isn't offering good quality services that fulfill passenger expectations.
Type: Computational Finite Element Modeling and Analysis
Title: Burst Pressure Analysis of Corroded Pipeline Repaired with Basalt Fiber Reinforced Polymer using FEM.
My Role: Abaqus FEM modeling, data validation, and analysis.
Findings: In this research, Von Mises Criterion and Hashin Damage Theory were applied to the analysis of burst pressure. The influence of the fiber orientation of the BFRP wrap was investigated by computational modeling utilizing numerical software. The findings showed that the burst pressure of the pipe could be successfully increased by utilizing various BFRP layer orientations without changing the amount of composite material.