Generated datasets from dynamic reproduction of projectiles in ballistic environments for advanced research (DROPBEAR) testbed
Abstract
High-rate dynamics occur when a system’s acceleration is larger than 100 gn over durations less than 100 ms. Structural health monitoring algorithms must be created for high-rate dynamic systems to maximize safety and minimize economic losses. There is a need to evaluate these algorithms for precision and accuracy prior to real-world implementation. An experimental testbed was created to simulate large-magnitude events while maintaining repeatability to accurately and robustly assess various structural health monitoring algorithms’ capability to monitor high-rate dynamic systems. All previous datasets created on the experimental testbed are discussed, examining various sensor setups, excitations, and boundary condition changes to properly simulate near-high-rate events and provide robust experimental data to evaluate structural health monitoring algorithms.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 17, 2022
- Source ID
- 10.1088/2633-1357/aca0d2
Entities
People
- Adriane G. Moura
- Austin Downey
- Chao Hu
- Erik Blasch
- Jacob Dodson
- Jonathan Hong
- Matthew Nelson
- Peter Lander
- Simon Laflamme
- Yang Wang
Organizations
- Air Force Research Laboratory