Publications
Journal Publications
[submitted] Daniel Coble and Siming He. A note on enhanced dissipation and Taylor dispersion of time-dependent shear flows.. Communications in Mathematical Sciences, 2023.
Conference Proceedings
Ehsan Kabir, Daniel Coble, Joud N. Satme, Austin R.J. Downey, Jason D. Bakos, David Andrews, and Miaoqing Huang. Accelerating high-rate dynamic systems with LSTM networks. FPL, 2023
Joud N. Satme, Daniel Coble, Hung-Tien Huang, Austin R. J. Downey, and Jason D. Bakos. A non-linear online compensation technique for low energy vibration signals using artificial neural networks in structural health monitoring. In Zhongqing Su, Maria Pina Limongelli, and Branko Glisic, editors, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023. SPIE, apr 2023
Daniel Coble, Liang Cao, Austin R. J. Downey, and James Ricles. Deep learning-based friction modeling of dry interfaces for structural dampers. In IMAC 41, feb 2023
Daniel Coble, Joud Satme, Ehsan Kabir, Austin R.J. Downey, Jason D. Bakos, David Andrews, Miaoqing Huang, Adrine Moura, and Jacob Dodson. Towards online structural state-estimation with sub-millisecond latency. 92nd Shock and Vibratino Symposium, sept 2022.
Joud Satme, Daniel Coble, Braden Priddy, Austin R. J. Downey, Jason D. Bakos, and Gurcan Comert. Progress towards data-driven high-rate structural state estimation on edge computing devices. In Volume 10: 34th Conference on Mechanical Vibration and Sound (VIB), aug 2022
Daniel Coble, Liang Cao, Austin Downey, and James Ricles. Research experiences for undergraduates (REU), NHERI 2022: Deep learning-based friction modeling of dry interfaces for structural dampers. Designsafe-CI, 2022
Conference Presentations
Deep learning-based friction modeling of dry interfaces for structural dampers. 41st IMAC, 2023
Posters
Daniel Coble and Austin R.J. Downey. Online damage detection using topological data analysis USC 2023 Summer Research Symposium, July 2023
Daniel Coble and Austin R.J. Downey. Data-driven modeling of structures in high-rate dynamic environments. AFOSR DDIP Program Review, Sept 2022
Daniel Coble, Liang Cao, Austin R.J. Downey, and James Ricles. Deep learning-based friction modeling of dry interfaces for structural dampers. NHERI REU Symposium, July 2022
Daniel Coble and Austin Downey. High-rate machine learning for structural state estimation. Discover USC, March 2022
Public Repositories
Daniel Coble, Liang Cao, James Ricles and Austin Downey. Dataset Friction Damper with Backlash, GitHub 2022
Daniel Coble and Austin Downey. LabVIEW LSTM Library, GitHub 2022
Joud Satme, Daniel Coble, and Austin R.J. Downey. Progress towards data driven high rate structural state estimation on edge computing devices, GitHub 2022
Daniel Coble and Austin Downey. Dynamic signal reproduction, GitHub 2022