Non-stationary response of nonlinear systems with singular parameter matrices subject to combined deterministic and stochastic excitation

被引:6
|
作者
Ni, P. [1 ]
Fragkoulis, V. C. [1 ]
Kong, F. [2 ]
Mitseas, I. P. [3 ,4 ]
Beer, M. [1 ,5 ,6 ,7 ,8 ]
机构
[1] Leibniz Univ Hannover, Inst Risk & Reliabil, Callinstr 34, D-30167 Hannover, Germany
[2] Hefei Univ Technol, Coll Civil Engn, 193 Tunxi Rd, Hefei 230009, Peoples R China
[3] Univ Leeds, Sch Civil Engn, Leeds LS29JT, England
[4] Natl Tech Univ Athens, Sch Civil Engn, Iroon Polytechneiou 9, Zografos 15780, Greece
[5] Univ Liverpool, Inst Risk & Uncertainty, Liverpool L697ZF, England
[6] Univ Liverpool, Sch Engn, Liverpool L697ZF, England
[7] Tongji Univ, Int Joint Res Ctr Resilient Infrastructure, Shanghai 200092, Peoples R China
[8] Tongji Univ, Int Joint Res Ctr Engn Reliabil & Stochast Mech, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic dynamics; Combined excitation; Moore-Penrose matrix inverse; Statistical linearization; Energy harvester; DUFFING OSCILLATOR; STRUCTURAL SYSTEMS; ENERGY HARVESTERS; OPTIMIZATION; VIBRATION;
D O I
10.1016/j.ymssp.2022.110009
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A new technique is proposed for determining the response of multi-degree-of-freedom nonlinear systems with singular parameter matrices subject to combined deterministic and non-stationary stochastic excitation. Singular matrices in the governing equations of motion potentially account for the presence of constraints equations in the system. Further, they also appear when a redundant coordinates modeling is adopted to derive the equations of motion of complex multi-body systems. In this regard, the system response is decomposed into a deterministic and a stochastic component corresponding to the two components of the excitation. Then, two sets of differential equations are formulated and solved simultaneously to compute the system response. The first set pertains to the deterministic response component, whereas the second one pertains to the stochastic component of the response. The latter is derived by utilizing the generalized statistical linearization method for systems with singular matrices, while a formula for determining the time-dependent equivalent elements of the generalized statistical linearization methodology is also derived. The efficiency of the proposed technique is demonstrated by pertinent numerical examples. Specifically, a vibration energy harvesting device subject to combined deterministic and modulated white noise excitation and a structural nonlinear system with singular parameter matrices subject to combined deterministic and modulated white and colored noise excitations are considered.
引用
收藏
页数:15
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