Directing transmission patterns in granular from the grain scale
Abstract
The principal objective of this research program is to develop novel algorithms for early prediction of failure in heterogeneous and multiphase granular media. A new granular failure informatics platform, GrafIcs, comprising an integrated suite of data analytics algorithms, has been developed and tested against laboratory experiments and computer simulations on granular failure. Test results show that GrafIcs can reliably predict the location of failure well in advance of the time of failure. In addition, new knowledge of force transmission bottlenecks and tools for their early detection have been incorporated into GrafIcs and potential applications in the quantification of robustness for control of transmission in granular systems and structures have been explored. Research methods, findings, conclusions and recommendations have been published (Appendix-Publications), however, those from the most recent and final project in this program are described here (Part 1). A key outcome of the research program is a patented algorithm that can predict the volume and location of a landslide based on kinematic data obtained using radar technology (Part 2).
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 16, 2018
- Accession Number
- AD1076772
Entities
People
- Antoinette Tordesillas
Organizations
- University of Melbourne