Tags: Aeronautics and Astronautics Engineering

Description

lcsh::https://lccn.loc.gov/sh95007821

All Categories (1-9 of 9)

  1. Urban Air Mobility Vehicle Dataset

    2021-06-18 16:39:22 | Datasets | Contributor(s): Ryan James Howard, Ethan Charles Wright, Sai V Mudumba, Nicholas I. Gunady, Brandon E Sells, Apoorv Maheshwari, Daniel A. Delaurentis, William A Crossley | doi:10.4231/2XTS-M551

    A wide array of electric vertical takeoff and landing (eVTOL) vehicles are in various stages of development with the goal of serving Urban Air Mobility (UAM) missions. This dataset describes emerging eVTOL vehicles' characteristics.

    https://purr.purdue.edu/publications/3816

  2. Dot tracking methodology for background-oriented schlieren (BOS)

    2021-05-14 20:47:42 | Datasets | Contributor(s): Lalit Rajendran, Sally P M Bane, Pavlos Vlachos | doi:10.4231/X101-WK63

    A dot tracking method to process BOS images that improves the accuracy, precision, and spatial resolution of the measurements

    https://purr.purdue.edu/publications/3561

  3. Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

    2021-05-14 20:44:40 | Datasets | Contributor(s): Lalit Rajendran, Jiacheng Zhang, Sayantan Bhattacharya, Sally P M Bane, Pavlos Vlachos | doi:10.4231/D2FC-N191

    We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...

    https://purr.purdue.edu/publications/3758

  4. PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design

    2020-08-26 13:48:40 | Datasets | Contributor(s): Lalit Rajendran | doi:10.4231/P45Z-8361

    Ray tracin based image generation methodology to render realistic images of particle image velocimetry (PIV) and background oriented schlieren (BOS) experiments in the presence of density/refractive index gradients.

    https://purr.purdue.edu/publications/3560

  5. Urban Air Mobility ROPE Table: A Decomposition Tool to Identify and Organize Potential Operational Limits

    2020-06-02 19:38:07 | Datasets | Contributor(s): Apoorv Maheshwari, Sai Mudumba, Brandon Sells, Hsun Chao, Daniel DeLaurentis, William Crossley | doi:10.4231/81N6-EV29

    Operational limits in Urban Air Mobility are explored via an assessment of various factors using the Resources, Operations, Policies, Economics (ROPE) table methodology

    https://purr.purdue.edu/publications/3465

  6. Simulation Inputs and Results of the Potential Impacts of Emissions Trading Scheme and Biofuel Options to Carbon Emissions of U.S. Airlines

    2019-07-05 13:49:08 | Datasets | Contributor(s): Hsun Chao, Datu Buyung Agusdinata, Daniel Delaurentis | doi:10.4231/4BGZ-Z162

    Simulation inputs and results for assessing the environmental impacts of EUETS-type (European Union Emissions Trading Scheme) domestic emission scheme on US commercial aviation with biofuel options.

    https://purr.purdue.edu/publications/3221

  7. Data For Airlines Decision Model Under Competition

    2018-11-13 18:19:48 | Datasets | Contributor(s): Joseph D Thekinen, Kushal Moolchandani, Jitesh Panchal, Daniel Delaurentis | doi:10.4231/R7C53J4B

    This data was used to model airlines' decision-making on route selection in presence of competition from other airlines. Data from two major US airlines was used in modeling.

    https://purr.purdue.edu/publications/3082

  8. Preventing slips, overruns, and cancellations: Application of accident investigations and theory to the understanding and prevention of engineering project failures

    2017-11-13 15:21:45 | Datasets | Contributor(s): Diane C. Aloisio, Karen Marais | doi:10.4231/R7XK8CQW

    Supporting data for accident and project failure analysis.

    https://purr.purdue.edu/publications/2859

  9. Modeling Airlines Decisions On Route Selection Using Discrete Choice Models - Data and Supplementary Materials

    2015-10-29 15:00:33 | Datasets | Contributor(s): Zhenghui Sha, Kushal Moolchandani, Jitesh H. Panchal, Daniel A. Delaurentis | doi:10.4231/R74747TG

    This publication contains the data and supplementary results used for the analysis and estimation of airlines' decision on route selection.

    https://purr.purdue.edu/publications/1995

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries and the Office of the Executive Vice President for Research and Partnerships, with support from additional campus partners.