Probabilistic analysis and design of piezoelectric energy harvesting devices under modulated and filtered white Gaussian noise
The possibility of adopting vibration-powered wireless sensors for structural monitoring applications has received great attention in the last few years.Therefore,the development of effective computational approaches in this field is of paramount importance in order to evaluate the feasibility of such technology and to improve current design procedures.In this perspective,the present paper illustrates an efficient approach for the electromechanical probabilistic analysis and design of piezoelectric energy harvesters subjected to modulated and filtered white Gaussian noise(WGN).Specifically,the dynamic excitation is simulated by means of an amplitude-modulated WGN which is filtered through the Clough-Penzien filter,whose dominant frequency is a time-dependent deterministic parameter.The considered piezoelectric harvester is a cantilever bimorph modelled as Euler-Bernoulli beam with a concentrated mass at the free-end and its global behaviour is approximated by the fundamental vibration mode.Once the Lyapunov equation of the coupled electromechanical problem has been formulated,an original semi-analytical procedure is adopted to estimate mean and standard deviation of the generated electrical energy.
Energy harvesting Random vibrations Smart structures Structural monitoring
G.Quaranta F.Trentadue C.Maruccio G.C.Marano
Department of Structural and Geotechnical Engineering,Sapienza University of Rome,Rome,Italy Department of Civil Engineering and Architecture,Technical University of Bari,Bari,Italy Department of Innovation Engineering,University of Salento,Lecce,Italy Department of Civil Engineering and Architecture,Technical University of Bari,Bari,Italy;College of
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
2743-2752
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）