9 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network
Karthik Reddy Lyathakula, Aseem Muhammad, Sevki Cesmeci
Thermal protection systems (TPS) of space vehicles are designed computationally rather than experimentally. They are validated using ground experiments, but all aspects of the flig…
Statistical Design of Thermal Protection System Using Physics-Informed Machine learning
Karthik Reddy Lyathakula
Estimating the material properties of thermal protection films is crucial for their effective design and application, particularly in high-temperature environments. This work prese…
A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method
Karthik Reddy Lyathakula, Fuh-Gwo Yuan
The remaining useful life (RUL) estimation is an important metric that helps in condition-based maintenance. Damage data obtained from the diagnostics techniques are often noisy an…
Uncertainty Quantification in Friction Model for Earthquakes using Bayesian inference
Saumik Dana, Karthik Reddy Lyathakula
This work presents a framework to inversely quantify uncertainty in the model parameters of the friction model using earthquake data via the Bayesian inference. The forward model i…