DMS-EPSRC, Stochastic Nonsmooth Analysis For Energy Harvesting

Project overview

This multidisciplinary project is an international collaboration between Georgia Tech, Georgia State University and University of Southampton in the area of applied mathematics, nonlinear dynamics and energy harvesting with soft electroactive polymers. The project addresses gaps and opportunities in mathematical developments and in practical applications for impact-based engineering devices and systems with non-smooth dynamics, critical for understanding the harvesting of vibrational energy. The main research objective is to develop a universal suite of mathematical methodologies for the analysis and optimized performance of deterministic and stochastic non-smooth engineering systems. These approaches are pursued with a focus on practical engineering models of vibro-impacting energy harvesting systems and nonlinear dynamic dampers, within the broad area of targeted energy transfer. Integrating novel nonlinear, stochastic, and computational approaches with experimental and real-world data both for energy harvesting and for devices that mitigate vibration will pave new pathways for analysis-based design and model validation.

Staff

Lead researcher

Dr Daniil Yurchenko

Associate Professor

Research interests

Nonlinear and Stochastic Dynamics; Stability and Bifurcation; Energy Harvesting; Nonlinear Vibration Mitigation;

Connect with Daniil

Email: d.yurchenko@soton.ac.uk

Other researchers

Dr Henrik Sykora

Research Fellow

Research interests

Numerical and computational methods for stochastic dynamical systems (stability, pathwise simulation, PDF evolution)Data-driven identification of inherently stochastic dynamical systemsStochastic nonsmooth systems with applications in energy harvestingStochastic dynamical systems with delay with applications in control systems and machine tool vibrations

Connect with Henrik

Email: h.t.sykora@soton.ac.uk

Collaborating research institutes, centres and groups

Dynamics Group

The group's research covers a range of topics including fundamental theoretical studies, the development of numerical tools and experimental measurement techniques.