21-30 of 32 results
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Environmental Analysis of Convective Initiation Events in Central Florida using Integrated Mobile Observation
PI Shawn Milrad
PI Daniel Halperin
This research collaboration with the National Weather Service (NWS) Weather Forecast Office Tampa Bay aims to develop an ingredients-based methodology to help improve forecasts of first-strike cloud-to-ground lightning strikes in summer thunderstorms across Central Florida. Results will be used to construct a new forecast tool that will aid NWS forecasters in protecting the region’s life and property from these dangerous lightning events.
Lightning is a major hazard to life and property in Florida and annually leads the nation in lightning strikes and fatalities. The proposed research collaboration with the National Weather Service (NWS) Weather Forecast Office Tampa Bay aims to develop an ingredients-based methodology to help forecast first strike cloud-to-ground lightning strikes in warm-season thunderstorms across Central Florida. A comprehensive environmental analysis of these convective initiation events is being performed using numerous observational datasets, including mobile radar and surface observations from recent ERAU field courses and campaigns. The environmental analysis will examine first-strike events across the eight large-scale flow regimes previously identified by NWS Tampa Bay. A particular focus is placed on events that occurred during four weeks of ERAU field courses/campaigns in 2015 and 2018, allowing for the unique integration of mobile observations. Results are being used to construct a new forecast tool integrated with existing radar- and satellite-based lightning tools, to improve first-strike alert lead times. Also, the proposed project has established a fruitful collaborative research relationship between ERAU and NWS Tampa Bay while providing research experience and training for several ERAU undergraduate meteorology majors. These undergraduate students have completed much of the work on the project and have gotten to interact with NWS Tampa Bay personnel. It is expected that this project will also stimulate future more significant research collaborations between ERAU Meteorology and regional NWS forecast offices.Categories: Faculty-Staff
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Deep-Learning-Based Unobtrusive Estimation of Pilot Adverse Interactions and Loss of Energy State Awareness
PI Hever Moncayo
This project aimed at gaining more insight into the mechanisms of pilot SD and LESA occurrence, capturing their dynamic fingerprint, and developing on-board intelligent schemes capable of predicting and detecting these dangerous phenomena associated to pilot behaviors.
Findings: Final report submitted 9/24. Each of the mathematical models showed good capabilities of estimating each of the pilot parameters and represent a promising tool towards the characterization of pilot behavior using learning components. Continuation can be pursued by generalizing or extending the proposed results to other aircraft-pilot dynamics, possibly eVTOLs for AAM.
Student and Curriculum impact. The simulation and testing tools will be integrated as part of the experiential learning of the course AE623 Guidance, Navigation and Control that will be taught by the PI next Fall 2025. The proposed technique also allowed a master student in Aerospace Engineering to complement and enhance her thesis outcomes.
Categories: Faculty-Staff
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Transfer and Retention of Training in Real and Virtual Spaceflight Environments
PI Erik Seedhouse
This research compared how effectively suborbital tasks are learned in an actual NBE compared with a VR-rendered NBE. This study demonstrated the efficacy of NBE-type training as a means to improve the effectiveness of training suborbital SFPs.
Manned suborbital spaceflights are just around the corner. SpaceShipTwo, operated by Virgin Galactic and New Shepard, operated by Blue Origin, will most likely fly fare-paying passengers sometime in 2020. Each passenger will pay $250,000. And, with just four minutes (240 seconds) of actual microgravity time, that equates to almost $1000/second. For spaceflight participants (SFPs) a category which will include tourists and scientists, the cost of incorrectly performing even simple tasks will be extremely costly.
In spaceflight, even for highly trained astronauts, the tactile-kinesthetic and vestibular systems are affected by weightlessness. Of course, astronauts traveling to the International Space Station (ISS) have plenty of time to adapt, but SFPs will have no time at all – the time from rocket ignition to microgravity is less than 5 minutes. Compounding this lack of adaptation is the fact that suborbital SFPs will generally only have 3 days of training (compared with many years of training for an astronaut headed to the ISS). To overcome the aforementioned difficulties this study evaluated two spaceflight analogous training systems specific to suborbital spaceflight: one that will take place in an actual neutral buoyancy environment (NBE) and one that will take place in a virtual reality (VR) NBE.
To date, there have no studies that have evaluated the effectiveness of VR as a means of training suborbital SFPs. Nor have there been any studies that evaluate the utility of NBE-type training for suborbital SFPs. Not only did this study assess the effectiveness of each of these methods of training. It also developed a training tool for the commercial suborbital spaceflight industry. To that end, this study sought to achieve three objectives:
- Measure the effectiveness of neutral buoyancy dive training while wearing the EasyDive system as a means to train suborbital SFPs in a swimming pool
- Measure the effectiveness of neutral buoyancy dive training in an underwater-simulated VR environment as a means of improving maneuvering and performance of tasks in microgravity.
- Based on the results of objectives #1 and #2 a training program for SFPs will be devised.
Categories: Faculty-Staff
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Big Data Analytics for Injury Data
PI Dothang Truong
This project leverages big data analytics tools for the exploration and transformation of injury data for a major Part 121 carrier with the goal of predictive modeling. This project offers graduate students an opportunity to work with a substantial airline dataset under the supervision of a faculty member. The outcomes have the potential to lead to more extensive future projects in the realm of big data analytics. (This project is under strict NDA).
Categories: Faculty-Staff
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Diagnosing Kinematic Processes Responsible for Precipitation Distributions in Hurricanes
PI Joshua Wadler
This project studies physical processes behind why the spatial distribution of different types of precipitation are related to hurricane intensity change.
Tropical cyclones, also called hurricanes or typhoons, pose a significant threat to coastal communities through high winds, storm surge, and heavy rainfall. Poor predictions of tropical cyclones can lead to underprepared communities, exacerbating the impacts of these powerful storms. This project aims to understand how different types of precipitation, or rainfall, impact tropical cyclone maximum sustained wind speed. Precipitation is divided into four categories based on how fast the air is rising in clouds. Clouds that have faster rising air are called convection, with the tallest clouds called deep convection and the shallower clouds called moderate convection and shallow convection. The lightest precipitation is called stratiform rain and has the least amount of rising air. The type of precipitation can be identified based on its appearance on radar measurements. This project addresses how each type of precipitation influences the maximum sustained wind speed of the storm through their impact on storm structure. Since different types of precipitation can be identified on radar, this project may offer new insights into forecasting of tropical cyclone maximum sustained wind speed. In addition, this project will support undergraduate student research, an undergraduate mentorship program, a scholarship for a high achieving student, and outreach activities that will help communities susceptible to tropical cyclones understand and prepare for their impacts.Categories: Faculty-Staff
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Air-Deployed sUAS and StreamSonde Measurements of Turbulence in the High Wind Tropical Cyclone Surface Layer
PI Joshua Wadler
The primary objective of this proposal is to use uncrewed aircraft technology and atmospheric profilers to measure turbulence in the tropical cyclone (TC) boundary layer and to use those measurements to improve NOAA’s operational models.
Over the past decade, NOAA has deployed low-altitude small uncrewed aircraft systems (sUAS) from the WP-3D (P-3) to improve operational situational awareness for tropical cyclones (TC), enhance parameterization routines in NOAA forecast models for TC structure and intensity change, and NOAA’s operational data assimilation methods. sUAS sample near the air-sea boundary, where energy and momentum are exchanged with the sea and where severe winds at landfall can directly affect the lives and property of millions of Americans every year. Even though this is a critical region of a TC, detailed analyses of atmospheric turbulence below 500-m altitude are limited due to safety concerns and other logistical constraints that make in-situ data collection within the lowest and most dangerous areas of the hurricane prohibitive. Enhanced, reliable, and high-resolution observations in the TC boundary layer are necessary to address this critical data void. This proposal will seek to take measurements of turbulence in the TC boundary layer using sUAS as well as a new, versatile atmospheric profiler called StreamSonde.Categories: Faculty-Staff
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Small UAS (sUAS) Mid-Air Collision (MAC) Likelihood
PI Ryan Wallace
CO-I Dothang Truong
CO-I Scott Winter
CO-I David Cross
This research focuses on sUAS MAC likelihood analysis with general aviation (GA) and commercial aircraft. Because severity research varies based on where a collision occurred on a manned aircraft, this likelihood research will not only look at the probability of a MAC, but also the likelihood of colliding with different parts of a manned aircraft.
Complete Mid-Air Collision (MAC) risk assessments require estimates of both collision severity and collision likelihood. This research focuses on sUAS MAC likelihood analysis with General Aviation (GA) and commercial aircraft. Because severity research varies based on where a collision occurred on a manned aircraft, this likelihood research will not only look at the probability of MAC but also the likelihood of colliding with different parts of a manned aircraft.
Categories: Faculty-Staff
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Usability of Urban Air Mobility: Quantitative and Qualitative Assessments of Usage in Emergency Situations
PI Scott Winter
CO-I Stephen Rice
CO-I Sean Crouse
The purpose of these studies is to determine the usability of urban air mobility (UAM) vehicles in the emergency response to natural disasters and the ideal locations for their take-off and landing sites to occur, consistent with the Center's Theme 2. UAM involves aerial vehicles, mostly operated autonomously, which can complete short flights around urban areas, although their applications are expanding to rural operations as well. While initially designed to support advanced transportation mobility, these vehicles could offer numerous advantages in the emergency response to natural disasters. Through a series of four studies with over 2,000 total participants, quantitative and qualitative methods will be used to identify UAM vehicles' usability in response to natural disasters. The studies will examine the types of natural disasters and types of missions where UAM could be considered usable, along with the creation of a valid scale to determine vertiport usability. Interviews will also be conducted to provide qualitative insights to complement the quantitative findings.
In this proposed series of four studies, our overall purpose will be to determine the usability of urban air mobility in the emergency response to natural disasters. As the concepts of urban air mobility move closer to reality, these mostly autonomous aerial vehicles may provide valuable contributions to our response after natural disasters. However, little prior research has examined the types of natural disasters, types of missions, or locations where UAM could be deployed in the emergency response. The first objective of this research will be to assess the usability of UAM based on the type of natural disaster and type of mission. Following this, the research will develop a valid scale to measure possible locations where UAM operations could be conducted following a natural disaster, such as city parks, building rooftops, or existing helipads. The final objective of this study will be to gather qualitative data through interviews to complement the quantitative findings and offer more significant insights and explanations as to the usability of UAM in response to natural disasters.Categories: Faculty-Staff
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Integrated Communication and Environmental Sensing for Safety-Critical Autonomous Systems
PI Thomas Yang
PI Siyao Li
Current communication networks with transmitter/receiver nodes can provide large-scale area coverage and robust interconnection between nodes. This allows for the seamless integration of sensing functions into the existing communication framework, paving the way for Integrated Communication and Sensing (ICAS). Unlike previous generations that treated communication and sensing separately, ICAS eliminates the need for additional hardware, extra transmit power, or dedicated frequency bands, by enabling communication signals to support data transmission and environmental sensing simultaneously. This convergence makes ICAS a key feature of six-generation (6G) communication and enables advanced applications, including Unmanned Aerial Vehicle (UAV) missions, autonomous driving, surveillance, and smart cities, to be powered by a single transmitted signal.
This project aims to develop a novel ICAS framework tailored specifically for autonomous systems operating in safety-critical environments. The primary focus is enabling environment sensing by systematically analyzing the received information-carrying communication signals, through line-of-sight and/or reflected and scattered paths.
Categories: Faculty-Staff
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Fabrication of Copper Lithium-ion Battery Case with Integrated Cooling Channels Using Binder Jetting Additive Manufacturing
PI Yue Zhou
CO-I Wenhao Zhang
CO-I Heer Patel
CO-I Henil Patel
CO-I Sirish Namilae
This project leveraged binder jetting processes to directly fabricate metallic battery cases integrated with various cooling channels, paving the way for the additive fabrication of metallic thermal management devices applied in the aerospace field.
Findings: Developed heat transfer model for the geometrical design of cooling channels, created files for experimental design and optimized printing & sintering settings, created scale-down prototypes for battery cases with integrated cooling channels.
Categories: Faculty-Staff
21-30 of 32 results