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Articles 1 - 5 of 5
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Nonlinear Finite Element Model For Functionally Graded Porous Circular/Annular Micro-Plates Under Thermal And Mechanical Load, Enrique Nava Munoz
Nonlinear Finite Element Model For Functionally Graded Porous Circular/Annular Micro-Plates Under Thermal And Mechanical Load, Enrique Nava Munoz
Masters Theses
A nonlinear finite element model for micro circular/annular plates under thermal and mechanical loading is developed using a third order shear deformation theory. In the kinematic assumptions, the change of plate thickness is allowed and no transverse shear strains are considered on the top and bottom surfaces. A power-law distribution is utilized to account for variations of two constituents through the thickness of the plate. Three different types of porosity distributions are considered. The strain gradient effect in micro scale structures is considered using the modified couple stress theory. The dynamic version of the principle of virtual displacements is used …
Advancing Winter Weather Adas: Tire Track Identification And Road Snow Coverage Estimation Using Deep Learning And Sensor Integration, Parth Kadav
Masters Theses
No abstract provided.
Investigating Disparities And Safety Equity In Pedestrian Nighttime Crashes In Michigan, Sia Isaria Mwende
Investigating Disparities And Safety Equity In Pedestrian Nighttime Crashes In Michigan, Sia Isaria Mwende
Masters Theses
For the past eleven years (2011 - 2021) in Michigan, 76 percent of all fatal pedestrian crashes occurred at night. Over the same period, about 36 percent of pedestrian nighttime crashes were fatal or incapacitating (KA), while only 25 percent of daytime pedestrian crashes were fatal or incapacitating (KA). Previous studies suggest that, overall, poor neighborhoods and racial minorities are associated with more pedestrian crashes. With more fatal and incapacitating pedestrian crashes occurring at night, it is imperative to examine how these crashes are distributed by economic status and racial makeup. Therefore, this study aims to investigate the racial and …
On Hydrophobic Deep Eutectic Solvents: Thermo-Physical Properties And Applications In Gas Solubility, Shan Khai Liew
On Hydrophobic Deep Eutectic Solvents: Thermo-Physical Properties And Applications In Gas Solubility, Shan Khai Liew
Masters Theses
Carbon dioxide (CO2) has been widely recognized as one of the greenhouse gases (GHGs) in the atmosphere. GHGs cause global warming, which will bring a lot of problems and irreversible changes. To curb CO2 emissions, much effort has been done. There are many technologies available for CO2 capture, such as amine scrubbing, pressure or temperature swing adsorption, membrane separation, and many solvents and absorbents that have been proposed for CO2 capture (e.g., zeolite, silica materials, graphene, activated carbon, etc.) at every stage (pre-combustion, post-combustion, oxy-combustion). However, these materials have their own drawbacks. Hydrophobic deep eutectic solvents (HDES) is a green …
Improving Future Vehicle Fuel Economy And Operational Design Domain Through Novel Data Pipelines, Kyle James Carow
Improving Future Vehicle Fuel Economy And Operational Design Domain Through Novel Data Pipelines, Kyle James Carow
Masters Theses
Modern automobiles have greatly advanced in recent years, with technological developments that enhance performance, safety, and comfort. However, there is still much room for improvement. Today’s vehicles are heavily reliant on the combustion of fossil fuels, proven to be harmful for the environment on both a local and global scale. In addition, the safety benefits of autonomous vehicles and advanced driver assistance systems are not yet fully realized due to the limited operational design domain of these technologies. In this research, these needs are addressed through the development of two novel data pipelines. In the first study, a novel methodology …