Grain Scale Interactions with Subterranean Structures: Material Removal Algorithms
Abstract
The primary objective of the project is to utilize XRCT and LS-DEM to investigate and understand grain scale interactions with subterranean structures and use the enhanced understanding and data to develop biologically inspired excavation algorithms. There are three major goals to achieve the primary objective: 1. Image ant tunnel networks before, during, and after construction with 3D XRCT 2. Utilize the XRCT images to gather force and position data on all grains with LS-DEM. 3. Develop excavation algorithms utilizing neural networks with the collected data.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 06, 2018
- Source ID
- W911NF1710212
Entities
People
- José E Andrade
Organizations
- Army Contracting Command
- California Institute of Technology
- United States Army