We investigate the effects of randomness in the loadings on the dynamical behaviour of discontinuous systems like impacting systems, such as, gears and industrial heat exchangers.
Data based stochastic reduced order models are developed for rotor-blade systems with spatial randomness in the properties.
The focus of this study is on characterizing the microstructure scale heterogeneity in materials across multiple scales, with the objective of developing fatigue life measures.
The nonlinear dynamics of flexible flappers in flow is a problem in fluid structure interaction and helps in understanding the dyanmics of swimming fish & flapping of flags. This understanding is used for designing energy harvesters from flows.
The effects of noise on the attractors and their basins of dynamical systems are studied. Application areas include climate dynamical models.
Random network theories are used to investigate the dynamics of large ordered complex dynamical systems, such as the growth of a disease or how neuronal network in brains function.
Bifurcations in higher order piecewise smooth discontinuous maps are investigated and their existence conditions are analysed. Effects of noise on the dynamics is studied.
We investigate the use of nonlinear energy sinks for targeted energy transfer to improve the effeiciency of harvesting energy in flow based energy harvesters.
The study focusses on modelling and analysis of buffeting of tail fin in delta winged aircraft and analysizng for fatigue damage considering the random gust effects due to buffeting.