Rapid Assessment of Lower Bound Bearing Strength for Foreshore Sediments using Aerial Digital Images

Abstract

Jaffe (1967) and Mitchel et al. (1972) have succeeded in determining the lower-bound bearing strength of lunar soils from images obtained during the Apollo lunar missions. This was achieved through assessing the lunar soil friction angles from slope angles In craters and traces, and was based on Terzaghi's ultimate bearing capacity (Terzaghi, 1943). Most recent advances in topography mapping using photogrammetry with resolutions in the order of single centimeters encourage that the method presented by Jaffe (1967) and Mitchel et al. (1972) can be modified for cohesion less sandy sediments to derive lower-bound bearing strength from topographies mapped using an Unmanned Aerial Vehicle (UAV) In foreshore environments. The goal of the proposed study is to develop and test an approach to derive lower-bound bearing strength of sandy foreshore sediments from aerial digital images. This would allow a rapid estimate of minimum bearing strength, and thus, the potential of the sediment to support vehicles. The scientific objectives to achieve this goal are to (i) derive sand type, angle of repose and state of saturation from digital imaging processing, (ii) determine lower-bound bearing strength using an approach successfully applied by Jaffe (1967) and Mitchell et al. (1972) for the characterization of lunar soils from images from the Apollo lunar missions, and (iii) create a map of zones of low vs. high lower-bound bearing strength from the Image coverage.

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Document Details

Document Type
Technical Report
Publication Date
May 25, 2017
Accession Number
AD1074209

Entities

People

  • Nina Stark

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Bearing Capacity
  • Bearing Strength
  • Bearings
  • Digital Images
  • Friction
  • Image Processing
  • Images
  • Maps
  • Moisture Content
  • Photogrammetry
  • Pore Pressure
  • Remote Sensing
  • Research Facilities
  • Sediments
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Geotechnical Engineering.
  • Military History

Technology Areas

  • Autonomy
  • Space
  • Space - Spacecraft Maneuvers