首页> 外文期刊>International Journal of Engineering and Technology >Development of Chaos Diagrams for Duffing Oscillator Using Linearity and Nonlinearity Characteristics of Periodic and Chaotic Responses
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Development of Chaos Diagrams for Duffing Oscillator Using Linearity and Nonlinearity Characteristics of Periodic and Chaotic Responses

机译:利用周期和混沌响应的线性和非线性特性开发Duffing振荡器的混沌图。

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This study exploited the computation accuracy of governing equations of linearly or periodically behaves dynamic system with fourth and fifth order Runge-Kutta algorithms to develop chaos diagrams of harmonically excited Duffing oscillator. The study adopt the fall to tolerance of absolute deviation between two independently sought solutions of governing equation to characterise excitation frequencies and amplitude parameter point of Duffing oscillator as either chaotic or not. Displacement and Velocity time history, Phase plot and Poincare were used to validate FORTRAN coded programmes used for this study and chaos diagrams developed at two different damping coefficients. The validation results agreed perfectly with those obtained in the literature. The chaos diagrams predicted by computation at two different damp coefficient levels conforms generally in trend to literature results by Dowell (1988) and qualitatively the same for three different combination of constant time based Runge-Kutta algorithms. The chances of chaotic behaviour of Duffing oscillator under the combined driven force of parameters becomes more than double at 0.0168 damping coefficient when compared with corresponding results at 0.168 damping coefficient. The probability that selected excitation frequencies and amplitudes will drive Duffing oscillator chaotically at 0.168 damp coefficients is 29.4%, 27.8% and 29.4% respectively. This study demonstrated the significant utility of numerical techniques in dealing with real-world problems that are dominantly nonlinear and shows that in addition to being sensitive to initial conditions, chaos is equally sensitivity to appropriate simulation time steps. In addition, the present chaos diagram generating numerical tool is uniquely characterised by being faster and predicting reliably than that earlier reported by the authors.
机译:本研究利用四阶和五阶Runge-Kutta算法利用线性或周期性动力学系统控制方程的计算精度来开发谐波激励Duffing振荡器的混沌图。该研究采用下降到两个独立寻求的控制方程解之间的绝对偏差的容差来将Duffing振荡器的激励频率和幅度参数点表征为混沌还是非混沌。使用位移和速度时程,相位图和庞加莱来验证用于本研究的FORTRAN编码程序以及在两个不同阻尼系数下生成的混沌图。验证结果与文献中的结果完全吻合。在两个不同的阻尼系数水平上通过计算预测的混沌图在趋势上通常与Dowell(1988)的文献结果相吻合,对于基于恒定时间的Runge-Kutta算法的三种不同组合在质量上相同。与阻尼系数为0.168的相应结果相比,在阻尼系数为0.0168的情况下,达芬振子在参数组合驱动力作用下发生混沌行为的机会增加了两倍以上。选定的激励频率和幅度将在0.168阻尼系数下混沌驱动Duffing振荡器的概率分别为29.4%,27.8%和29.4%。这项研究证明了数值技术在处理主要是非线性的现实问题中的巨大效用,并且表明,除了对初始条件敏感之外,混沌对适当的仿真时间步也同样敏感。另外,本发明的混沌图生成数值工具的独特之处在于比作者早先报道的要快和可靠。

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