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Title: Tap Testing Hammer using Unmanned Aerial Systems (UASs)

Abstract

This is the final poster for a Student Symposium at Los Alamos National Laboratory. This research describes the development, validation, and testing of a remote concrete tapping mechanism enabled by UAS. The conclusion is the following: The results quantify for the first time concrete tapping data collected remotely with UAS, enabling cost-effective, safer and sustainable upgrade prioritization of railroad bridges inventories.

Authors:
 [1];  [1];  [1];  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of New Mexico, Albuquerque, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE; US Dept. of Education (ED)
OSTI Identifier:
1304746
Report Number(s):
LA-UR-16-26204
DOE Contract Number:
P031C110083
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; remote sensing; infrastructure health monitoring; unmanned aerial systems; non-destructive testing; railroad bridges; concrete tapping; principal component analysis; spectral subtraction

Citation Formats

Mason, JaMein DeShon, Ayorinde, Emmanuel Temiloluwa, Mascarenas, David Dennis, and Moreu, Fernando. Tap Testing Hammer using Unmanned Aerial Systems (UASs). United States: N. p., 2016. Web. doi:10.2172/1304746.
Mason, JaMein DeShon, Ayorinde, Emmanuel Temiloluwa, Mascarenas, David Dennis, & Moreu, Fernando. Tap Testing Hammer using Unmanned Aerial Systems (UASs). United States. doi:10.2172/1304746.
Mason, JaMein DeShon, Ayorinde, Emmanuel Temiloluwa, Mascarenas, David Dennis, and Moreu, Fernando. 2016. "Tap Testing Hammer using Unmanned Aerial Systems (UASs)". United States. doi:10.2172/1304746. https://www.osti.gov/servlets/purl/1304746.
@article{osti_1304746,
title = {Tap Testing Hammer using Unmanned Aerial Systems (UASs)},
author = {Mason, JaMein DeShon and Ayorinde, Emmanuel Temiloluwa and Mascarenas, David Dennis and Moreu, Fernando},
abstractNote = {This is the final poster for a Student Symposium at Los Alamos National Laboratory. This research describes the development, validation, and testing of a remote concrete tapping mechanism enabled by UAS. The conclusion is the following: The results quantify for the first time concrete tapping data collected remotely with UAS, enabling cost-effective, safer and sustainable upgrade prioritization of railroad bridges inventories.},
doi = {10.2172/1304746},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 8
}

Technical Report:

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  • Creeping environmental changes are impacting some of the largest remaining intact parcels of sagebrush steppe ecosystems in the western United States, creating major problems for land managers. The Idaho National Laboratory (INL), located in southeastern Idaho, is part of the sagebrush steppe ecosystem, one of the largest ecosystems on the continent. Scientists at the INL and the University of Idaho have integrated existing field and remotely sensed data with geographic information systems technology to analyze how recent fires on the INL have influenced the current distribution of terrestrial vegetation. Three vegetation mapping and classification systems were used to evaluate themore » changes in vegetation caused by fires between 1994 and 2003. Approximately 24% of the sagebrush steppe community on the INL was altered by fire, mostly over a 5-year period. There were notable differences between methods, especially for juniper woodland and grasslands. The Anderson system (Anderson et al. 1996) was superior for representing the landscape because it includes playa/bare ground/disturbed area and sagebrush steppe on lava as vegetation categories. This study found that assessing existing data sets is useful for quantifying fire impacts and should be helpful in future fire and land use planning. The evaluation identified that data from remote sensing technologies is not currently of sufficient quality to assess the percentage of cover. To fill this need, an approach was designed using both helicopter and fixed wing unmanned aerial vehicles (UAVs) and image processing software to evaluate six cover types on field plots located on the INL. The helicopter UAV provided the best system compared against field sampling, but is more dangerous and has spatial coverage limitations. It was reasonably accurate for dead shrubs and was very good in assessing percentage of bare ground, litter and grasses; accuracy for litter and shrubs is questionable. The fixed wing system proved to be feasible and can collect imagery for very large areas in a short period of time. It was accurate for bare ground and grasses. Both UAV systems have limitations, but these will be reduced as the technology advances. In both cases, the UAV systems collected data at a much faster rate than possible on the ground. The study concluded that improvements in automating the image processing efforts would greatly improve use of the technology. In the near future, UAV technology may revolutionize rangeland monitoring in the same way Global Positioning Systems have affected navigation while conducting field activities.« less
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