| contributor author | Tien, Meng-Hsuan | |
| contributor author | Lu, Ming-Fu | |
| contributor author | D'Souza, Kiran | |
| date accessioned | 2022-05-08T09:01:58Z | |
| date available | 2022-05-08T09:01:58Z | |
| date copyright | 4/1/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_017_08_081001.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4284649 | |
| description abstract | In this paper, a new technique is presented for parametrically studying the steady-state dynamics of piecewise-linear nonsmooth oscillators. This new method can be used as an efficient computational tool for analyzing the nonlinear behavior of dynamic systems with piecewise-linear nonlinearity. The new technique modifies and generalizes the bilinear amplitude approximation method, which was created for analyzing proportionally damped structural systems, to more general systems governed by state-space models | |
| description abstract | thus, the applicability of the method is expanded to many engineering disciplines. The new method utilizes the analytical solutions of the linear subsystems of the nonsmooth oscillators and uses a numerical optimization tool to construct the nonlinear periodic response of the oscillators. The method is validated both numerically and experimentally in this work. The proposed computational framework is demonstrated on a mechanical oscillator with contacting elements and an analog circuit with nonlinear resistance to show its broad applicability. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Efficient Analysis of Stationary Dynamics of Piecewise-Linear Nonlinear Systems Modeled Using General State-Space Representations | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 8 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4054152 | |
| journal fristpage | 81001-1 | |
| journal lastpage | 81001-8 | |
| page | 8 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2022:;volume( 017 ):;issue: 008 | |
| contenttype | Fulltext | |