Abstract
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.
Funder
Air Force Research Laboratory
Cited by
2 articles.
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1. Accelerating LSTM-Based High-Rate Dynamic System Models;2023 33rd International Conference on Field-Programmable Logic and Applications (FPL);2023-09-04
2. Optimal Sampling Methodologies for High-rate Structural Twinning;2023 26th International Conference on Information Fusion (FUSION);2023-06-28