Improved pseudo-force approach for Monte Carlo Simulation of non-linear fractional oscillators under stochastic excitation

被引:5
|
作者
Sofi, Alba [1 ,2 ,3 ]
Muscolino, Giuseppe [4 ,5 ]
机构
[1] Univ Mediterranea Reggio Calabria, Dept Architecture & Terr, Via Univ 25, I-89124 Reggio Di Calabria, Italy
[2] Univ Mediterranea Reggio Calabria, Interuniv Ctr Theoret & Expt Dynam, Via Univ 25, I-89124 Reggio Di Calabria, Italy
[3] Guangzhou Univ, Res Ctr Wind Engn & Engn Vibrat, Guangzhou 510006, Peoples R China
[4] Univ Messina, Dept Engn, I-98166 Messina, Italy
[5] Univ Messina, Interuniv Ctr Theoret & Expt Dynam, I-98166 Messina, Italy
关键词
Fractional differential equations; Stochastic processes; Step-by-step integration; Pseudo-force; Non-linearities; Monte Carlo simulation; NUMERICAL-SOLUTION; SEISMIC ANALYSIS; DYNAMIC-ANALYSIS; DERIVATIVES; SYSTEMS; MODEL;
D O I
10.1016/j.probengmech.2022.103403
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents a step-by-step procedure for the numerical integration of the fractional differential equation governing the response of single-degree-of-freedom (SDOF) non-linear systems endowed with fractional derivatives subjected to stochastic excitation. The procedure, labeled improved pseudo-force method (IPFM), is developed by extending a step-by-step integration scheme proposed by the second author for the numerical solution of classical differential equations. The IPFM relies on the following main steps: i) to use the Grunwald- Letnikov (GL) approximation of the fractional derivative; ii) to treat terms depending on the unknown values of the response, which result from the GL approximation as well as from the non-linear restoring forces, as pseudo-forces; iii) to handle non-linearities by performing iterations at each time step. The IPFM provides accurate solutions by using time steps of larger size compared to classical step-by-step integration schemes. In this paper, the IPFM is applied within the framework of classical Monte Carlo Simulation (MCS) to evaluate the time domain dynamic response of non-linear fractional systems subjected to the generic sample of a stochastic excitation.
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页数:9
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