Research project

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 researchers

Dr Daniil Yurchenko

Associate Professor

Research interests

  • Nonlinear and Stochastic Dynamics; Stability and Bifurcation; Energy Harvesting; Nonlinear Vibration Mitigation; 
Connect with Daniil

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

Collaborating research institutes, centres and groups

Research outputs

Sam Dulin, Kailee Lin, Larissa Serdukova, Rachel Kuske & Daniil Yurchenko, 2022, International Journal of Mechanical Sciences, 217
Type: article
Larissa Serdukova, Rachel Kuske & Daniil Yurchenko, 2021, Journal of Sound and Vibration, 492
Type: article