top of page
Computational Science Projects
Modeling Wind-Driven Window Flow: A CFD Study of Cavity Circulation and Pressure Dynamics
This project used CFD simulations in OpenFOAM to model an open window as a flow-driven cavity and investigate wind-induced air cycling, pressure dynamics, and vortex formation under externally imposed airflow. The goal was to understand the structural and storm-mitigation implications of wind-driven loading during extreme weather events.
The purpose of this project was to perform structural analysis on a balsa wood surrogate aircraft wing. The objective was to characterize the wing’s dynamic and static behavior using sensor instrumentation, data acquisition, and signal processing techniques. The results provided insight into the effects of material inhomogeneity and structural construction on wing dynamics, informing future aircraft design decisions related to vibration, resonance, and flutter mitigation.
Structural Analysis of Balsa Wood Airframes
Computational Tool for the Analysis of Truss Structures
This project involved the development of a general-purpose computational tool for the analysis of a two-dimensional truss structure under static loading conditions. The Finite Element Method was implemented in MATLAB to compute nodal displacements, support reactions, and internal axial forces and stresses based on user-defined geometry, material properties, and boundary conditions resulting in a reusable truss analysis tool suitable for structural evaluation and design studies.
Reverse Engineering a Toy Blaster: Stress Analysis and Design Improvement
This effort involved reverse engineering a commercial Nerf toy blaster to evaluate its structural performance under mechanical loading. Key components were documented through detailed assembly drawings and analyzed using finite element methods to assess displacement, strain, and stress under multiple load cases. Simulation results identified stress concentrations and informed a redesigned component geometry that improved load distribution. The project demonstrates the use of reverse engineering and FEA to drive data-informed product design improvements.
bottom of page