Numerical optimisation of a classical stochastic system for targeted energy transfer

作     者：Oleg Gaidai Yubin Gu Yihan Xing Junlei Wang Daniil Yurchenko Oleg Gaidai;Yubin Gu;Yihan Xing;Junlei Wang;Daniil Yurchenko

作者机构：Shanghai Engineering Research Center of Marine Renewable EnergyShanghai Ocean UniversityChina School of Mechanical and Electrical EngineeringGuilin University of Electronic TechnologyChina Department of MachineBuilding and Materials TechnologyUniversity of StavangerNorway School of Mechanical and Power EngineeringZhengzhou UniversityChina Institute for Sound and Vibration ResearchUniversity of SouthamptonUK 

出 版 物：《Theoretical & Applied Mechanics Letters》 (力学快报（英文版）)

年 卷 期：2023年第13卷第3期

页      面：170-176页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

基　　金：funding for this work from NSF-CMMI 2009270 and EPSRC EP/V034391/1 

主　　题：Targeted energy transfer Surrogate optimisation Stochastic system Random vibration 

摘      要：The paper studies stochastic dynamics of a two-degree-of-freedom system,where a primary linear system is connected to a nonlinear energy sink with cubic stiffness nonlinearity and viscous *** the primary mass is subjected to a zero-mean Gaussian white noise excitation,the main objective of this study is to maximise the efficiency of the targeted energy transfer in the system.A surrogate optimisation algorithm is proposed for this purpose and adopted for the stochastic *** optimisations are conducted separately for the nonlinear stiffness coefficient alone as well as for both the nonlinear stiffness and damping coefficients *** different optimisation cost functions,based on either energy of the system’s components or the dissipated energy,are *** results demonstrate some clear trends in values of the nonlinear energy sink coefficients and show the effect of different cost functions on the optimal values of the nonlinear system’s coefficients.