Abstract

Time integration is commonly used to obtain accurate system responses, such as the limit cycle oscillations (LCOs) for an aeroelastic system with freeplay. However, the integrations that start with various initial conditions (I.C.s) are usually studied case by case, so only a few system states can possibly be focused on. This paper proposes a state space iterating (SSI) scheme to find LCO solutions using time integration by using another method. First, a large number of arbitrary I.C. cases are used for time integrations, but only a very short integration time is required for each I.C. case. Second, system behaviors are depicted visually through a method that combines a modified Poincaré map and Lorenz map, in which the LCO solutions are found as fixed points via visual inspections. To verify the SSI scheme’s ability to find LCOs, a typical plunge–pitch wing section is established numerically. Time integrations with both the classic scheme and the proposed SSI scheme are carried out. The LCO results of the SSI scheme are well-aligned with those from the classic scheme. The SSI scheme visualizes the patterns of system responses using arbitrary I.C. cases and analyzes the LCO stability, which provides more mathematical insights into an aeroelastic system with freeplay.

Highlights

  • Nonlinearities inevitably occur in most real dynamic systems and can induce abundant nonlinear behaviors such as limit cycle oscillations (LCOs), quasi-periodic motions, and chaos

  • The LCO results derived from time integrations with the Hénon–RK45 method and the state space iterating (SSI) scheme are compared in Figures 24 and 25

  • This paper proposed a state space iterating scheme (SSI) to find LCO solutions via a visualization procedure

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Summary

Introduction

Nonlinearities inevitably occur in most real dynamic systems and can induce abundant nonlinear behaviors such as limit cycle oscillations (LCOs), quasi-periodic motions, and chaos. The highlights of the SSI scheme are as follows: (1) The spatial patterns of system states are clearly pictured, so one can find LCO solutions and confirm the stabilities directly and visually; (2) the integration time for each I.C. case is reduced to a few LCO periods, so a large number of I.C. cases would not decrease the calculation efficiency; and (3) the proposed method can be extended to all other kinds of structural nonlinearities and applied to an aeroelastic system with higher dimensions.

Poincaré Map and Lorenz Map
Attractor and Basin of Attraction
Basic Ideas of SSI
Modification of the Poincaré Map and Iteration Plots
LCO Anlaysis Using the SSI Scheme
LCO Results Varying with the Airspeed and a Comparison to Hénon–RK45
Conclusions
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