Reduced-order model for multiphysics simulations of CNT/Polymer Composites via principal component regression and artificial neural networks

K Shah, KK Talamadupula, P Acar… - Computational Materials …, 2024 - Elsevier
In this work, the stochastic microstructure of simulated CNT-polymer composite statistical
volume elements (SVEs) is quantified using two-point correlation functions. The two-point …

Statistical analysis of effective electro-mechanical properties and percolation behavior of aligned carbon nanotube/polymer nanocomposites via computational …

KK Talamadupula, GD Seidel - Computational Materials Science, 2021 - Elsevier
CNT (carbon nanotube) embedded polymer nanocomposites exhibit significant variation in
their electro-mechanical properties depending upon factors such as CNT volume fraction …

Mesoscale strain and damage sensing in nanocomposite bonded energetic materials under low velocity impact with frictional heating via peridynamics

KK Talamadupula, SJ Povolny… - … and Simulation in …, 2020 - iopscience.iop.org
The formation of hotspots within polymer bonded explosives can lead to the thermal
decomposition and initiation of energetic materials. A frictional heating model is applied at …

Piezoresistive detection of simulated hotspots and the effects of low velocity impact at the mesoscale in nanocomposite bonded energetic materials via multiphysics …

KK Talamadupula, S Povolny, N Prakash… - Computational Materials …, 2021 - Elsevier
The growth of hotspots within polymer bonded explosives can lead to thermal
decomposition and subsequent initiation of the energetic material. An embedded structural …

Statistical analysis of effective piezoresistivity of carbon nanotube reinforced polymer nanocomposites from electron tunneling effects

KK Talamadupula, GD Seidel - AIAA Scitech 2020 Forum, 2020 - arc.aiaa.org
CNT doped polymers exhibit piezoresistivity due to a combination of phenomena occurring
at the nanoscale and microscale length scales. These effects manifest into an observable …