
Introduction to Nonlinear Aeroelasticity
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Content
Preface xi
Dimitriadis: Nonlinear Aeroelasticity - Series Preface Oct 2016 xiii
About the Companion Website xv
1 Introduction 1
1.1 Sources of Nonlinearity 3
1.2 Origins of Nonlinear Aeroelasticity 5
References 6
2 Nonlinear Dynamics 9
2.1 Introduction 9
2.2 Ordinary Differential Equations 9
2.3 Linear Systems 11
2.3.1 Stable Oscillatory Response 13
2.3.2 Neutral Oscillatory Response 15
2.3.3 Unstable Oscillatory Response 17
2.3.4 Stable Non-oscillatory Response 19
2.3.5 Unstable Non-oscillatory Response 21
2.3.6 Fixed Point Summary 23
2.4 Nonlinear Systems 24
2.4.1 Linearisation Around Fixed Points 25
2.4.2 The Pitching Wing Section with Cubic Stiffness 28
2.4.3 The Pitchfork Bifurcation 30
2.5 Stability in the Lyapunov Sense 34
2.6 Asymmetric Systems 37
2.6.1 The Fold Bifurcation 38
2.6.2 The Transcritical Bifurcation 41
2.7 Existence of Periodic Solutions 45
2.7.1 Nonlinear Aeroelastic Galloping 47
2.8 Estimating Periodic Solutions 49
2.8.1 Periodic Solutions of the Nonlinear Galloping Oscillator 50
2.8.2 The Hopf Bifurcation 52
2.9 Stability of Periodic Solutions 53
2.9.1 Stability of Galloping Oscillations 55
2.9.2 Supercritical and Subcritical Hopf Bifurcations 56
2.9.3 The Fold Bifurcation of Cycles 56
2.10 Concluding Remarks 61
References 61
3 Time Integration 63
3.1 Introduction 63
3.2 Euler Method 64
3.2.1 Linear Systems 65
3.2.2 Nonlinear Systems 66
3.3 Central Difference Method 68
3.3.1 Explicit Solution of Nonlinear Systems 69
3.3.2 Implicit Solution of Nonlinear Systems 72
3.4 Runge-Kutta Method 74
3.5 Time-Varying Linear Approximation 80
3.6 Integrating Backwards in Time 86
3.7 Time Integration of Systems with Multiple Degrees of Freedom 88
3.8 Forced Response 92
3.9 Harmonic Balance 99
3.9.1 Newton-Raphson 103
3.9.2 Discrete Fourier Transform Techniques 106
3.10 Concluding Remarks 110
References 111
4 Determining the Vibration Parameters 113
4.1 Introduction 113
4.2 Amplitude and Frequency Determination 113
4.2.1 Event Detection 117
4.3 Equivalent Linearisation 120
4.4 Hilbert Transform 125
4.5 Time-Varying Linear Approximation 129
4.6 Short Time Fourier Transform 131
4.7 Pinpointing Bifurcations 137
4.7.1 Newton-Raphson 141
4.7.2 Successive Bisection 142
4.8 Limit Cycle Study 143
4.9 Poincaré Sections 146
4.10 Stability of Periodic Solutions 149
4.10.1 Floquet Analysis 152
4.11 Concluding Remarks 156
References 156
5 Bifurcations of Fundamental Aeroelastic Systems 159
5.1 Introduction 159
5.2 Two-Dimensional Unsteady Pitch-Plunge-Control Wing 160
5.3 Linear Aeroelastic Analysis 161
5.4 Hardening Stiffness 170
5.4.1 Supercritical Hopf Bifurcation 170
5.4.2 Subcritical Hopf Bifurcation 180
5.4.3 Fold Bifurcation of Cycles 183
5.4.4 Flutter of Nonlinear Systems 189
5.4.5 Period-Doubling Bifurcation 193
5.4.6 Torus Bifurcation 201
5.5 Softening Stiffness 209
5.6 Damping Nonlinearity 214
5.6.1 Subcritical Hopf Bifurcation 216
5.6.2 Static Divergence of Cycles 220
5.6.3 Pitchfork Bifurcation of Cycles 224
5.7 Two-Parameter Bifurcations 233
5.7.1 Generalised Hopf Bifurcation 233
5.7.2 Pitchfork-Hopf Bifurcation 237
5.7.3 Hopf-Hopf Bifurcation 240
5.8 Asymmetric Nonlinear Aeroelastic Systems 242
5.8.1 Fold Bifurcation of Fixed Points and Cycles 243
5.8.2 Transcritical Bifurcation of Fixed Points and Cycles 251
5.8.3 Fold-Hopf Bifurcation 256
5.9 Concluding Remarks 257
References 259
6 Discontinuous Nonlinearities 261
6.1 Introduction 261
6.2 Piecewise Linear Stiffness 262
6.2.1 Underlying and Overlying Linear Systems 264
6.2.2 Fixed Points and Boundary Equilibrium Bifurcations 269
6.2.3 Equivalent Linearisation of Piecewise Linear Stiffness 272
6.2.4 Three-Domain Limit Cycles 278
6.2.5 Two-Domain Limit Cycles 285
6.2.6 Time Domain Solutions 289
6.3 Discontinuity-Induced Bifurcations 297
6.3.1 The Boundary Equilibrium Bifurcation 297
6.3.2 The Grazing Bifurcation 302
6.4 Freeplay and Friction 309
6.5 Concluding Remarks 310
References 310
7 Numerical Continuation 313
7.1 Introduction 313
7.2 Algebraic Problems 314
7.2.1 Prediction Correction 316
7.2.2 Arclength Continuation 321
7.2.3 Pseudo-Arclength Continuation 327
7.3 Direct Location of Folds 328
7.4 Fixed Point Solutions of Dynamic Systems 332
7.4.1 Branch Points 332
7.4.2 Arclength Step Control 337
7.5 Periodic Solutions of Dynamic Systems 342
7.5.1 Starting the Continuation Scheme 348
7.5.2 Folds and Branch Points 351
7.5.3 Branch Switching 355
7.6 Stability of Periodic Solutions Calculated from Numerical Continuation 358
7.7 Shooting 364
7.7.1 Starting the Continuation Scheme 367
7.7.2 Arclength Continuation 368
7.7.3 Stability Analysis 370
7.7.4 Branch Point Location and Branch Switching 372
7.7.5 Grazing 375
7.8 Harmonic Balance 379
7.9 Concluding Remarks 387
References 387
8 Low-Speed Aerodynamic Nonlinearities 389
8.1 Introduction 389
8.2 Vortex-Induced Vibrations 393
8.3 Galloping 402
8.4 Stall Flutter 411
8.4.1 Dynamic Stall 413
8.4.2 Leishman-Beddoes Model 417
8.4.3 ONERA Model 434
8.4.4 Aeroelastic Simulations using Dynamic Stall Models 442
8.5 Concluding Remarks 449
References 449
9 High-Speed Aeroelastic Nonlinearities 453
9.1 Introduction 453
9.2 Piston Theory 453
9.3 Panel Flutter 468
9.3.1 Buckling 470
9.3.2 Limit Cycle Oscillations 484
9.4 Concluding Remarks 501
References 501
10 Finite Wings 503
10.1 Introduction 503
10.2 Cantilever Plate in Supersonic Flow 504
10.3 Three-Dimensional Aerodynamic Modelling by the Vortex Lattice Method 519
10.3.1 Aeroelastic Coupling 528
10.3.2 Transforming to the Time Domain 536
10.3.3 Nonlinear Response 542
10.4 Concluding Remarks 552
References 552
Appendix A: Aeroelastic Models 555
Index 571
1
Introduction
Nonlinear aeroelasticity is the study of the interactions between inertial, elastic and aerodynamic forces on engineering structures that are exposed to an airflow and feature non-negligible nonlinearity. There exist several good textbooks on linear aeroelasticity for aircraft (Bisplinghoff et al. 1996; Fung 1993; Hodges and Alvin Pierce 2002; Wright and Cooper 2015). Dowell (2004) even includes chapters on nonlinear aeroelasticity and stall flutter, while Paidoussis et al. (2011) discusses a number of nonlinear aeroelastic phenomena occurring in civil engineering structures. However, there is no introductory text that presents the methodologies of nonlinear dynamics and applies them to a wide range of nonlinear aeroelastic systems. The present book aims to fill this gap to a certain degree. The subject area is vast and mutlidisciplinary and it would be impossible to fit every aspect of it in a textbook. The main omission is high fidelity numerical simulation using Computational Fluid Dynamics and Computational Structural Dynamics solvers; these methodologies are already the subject of a dedicated text (Bazilevs et al. 2013). The aerodynamic models used in this book are analytical, empirical or based on panel methods while the structural models are either analytical or make use of series solutions.
The book is introductory but it assumes knowledge of structural dynamics, aerodynamics and some linear aeroelasticity. The main linear aeroelastic phenomena of flutter and static divergence are discussed in detail because they can affect nonlinear behaviour, but the present work is by no means a complete text on linear aeroelasticity. Unsteady aerodynamic modelling is used throughout the book and discussed in Chapters 8, 10 and in the Appendix. However, again this book is not a complete reference on unsteady aerodynamics, linear or nonlinear. On the other hand, nonlinear dynamics and bifurcation analysis are presented in great detail as they do not normally feature in most undergraduate or even graduate Aerospace and Mechanical Engineering courses. The emphasis of all discussions is on the application rather than the rigorous derivation of the theorems; there already exist several classic textbooks for the latter (Kuznetsov 1998; Guckenheimer and Holmes 1983). More application-based works on nonlinear dynamics also exist (e.g. Strogatz 1994) but they address a wide range of physical, chemical, biological, accounting models, to name a few, whereas the present book concentrates exclusively on aeroelastic phenomena.
Nonlinear aeroelasticity has become an increasingly popular research area over the last 30 years. There have been many driving forces behind this development, including faster computers, increasingly flexible structures, automatic control systems for aircraft and other engineering products, new materials, optimisation-based design methods and others. Aeroelasticians have acquired expertise from many different fields in order to address nonlinear aeroelastic problems, mainly nonlinear dynamics, bifurcation analysis, control theory, nonlinear structural analysis and Computational Fluid Dynamics. The main applications of nonlinear aeroelasticity lie in aeronautics and civil engineering but other types of structure are also concerned, such as bridges and wind turbines.
In classical linear aeroelasticity, the relationships between the states of a system and the internal forces acting on them are always assumed to be linear. Force-displacement diagrams for the structure and lift or moment curves for the aerodynamics are always assumed to be linear, while friction is neglected and damping is also linear. As an example, consider a torsional spring that provides a restoring moment M when twisted through an angle ?. Figure 1.1a plots experimentally measured values of ? and M. Clearly, the function M(?) is not linear but, if we concentrate in the range , the curve is nearly linear and we can curve fit it as the straight line , where K is the linear stiffness of the spring.
Figure 1.1 Linearised load-displacement diagrams
Figure 1.1b plots the aerodynamic lift coefficient acting on a wing placed at an angle a to a free stream of speed U, defined as
where l is the lift force per unit length, ? is the air density and c is the chord. The curve cl(a) is by no means linear but, again, if we focus in the range , we can curve fit the lift coefficient as the straight line , where is the lift curve slope. An aeroelastic system featuring the spring of Figure 1.1a and the wing of Figure 1.1b will be nonlinear but, if we ensure that ? and a never exceed their respective linear ranges for all operating conditions, then we can treat the system as linear and use linear analysis to design it. In nonlinear aeroelasticity, the angles ? and a will always exceed their linear ranges and therefore we must use nonlinear analysis, both static and dynamic, in order to design the system.
Nonlinear dynamics is the field of study of nonlinear ordinary and partial differential equations, which in this book model aeroelastic systems. Unlike linear differential equations, nonlinear equations have no general analytical solutions and, in some cases, several different solutions may coexist at the same operating conditions. Furthermore, nonlinear systems can have many more types of solution than linear ones. The operating conditions of an aeroelastic system are primarily the free stream airspeed and the air density (or flight altitude), while the Reynolds number, Mach number and mean angle of attack can also be important. As these system parameters vary, the number and type of solutions of the nonlinear equations of motion can change drastically. The study of the changing nature of solutions as the system parameters are varied is known as bifurcation analysis. In this book we will use almost exclusively local bifurcation analysis, which means that we will identify individual solutions and track their nature and their intersections with other solutions for all the parameter values of interest.
A wide variety of nonlinear aeroelastic phenomena will be investigated, from the galloping of cables to the buckling and flutter of panels in supersonic flow and from stall flutter to the limit cycle oscillations of finite wings. We will also briefly discuss transonic aeroelastic phenomena but we will not analyse them in detail because such analysis requires high fidelity computational fluid and structural mechanics and is still the subject of extensive research. The equations of motion treated in this book are exclusively ordinary differential equations; whenever we encounter partial differential equations we will first transform them to ordinary using a series solution. It is hoped that the book will contribute towards the current trend of taking nonlinear aeroelasticity out of the research lab and introducing it into the classroom and in industry.
1.1 Sources of Nonlinearity
Traditionally, a lot of effort has been devoted to designing and building engineering structures that are as linear as possible. Despite this effort, nonlinearity, weak or strong, has always been present in engineering systems. In recent years, increasing amounts of nonlinearity have been tolerated or even purposefully included in many applications, since nonlinear analysis methods have progressed sufficiently to allow the handling of nonlinearity at the design stage. Furthermore, nonlinearity can have significant beneficial effects, for example in shock absorbers and suspension systems.
In this book we will only consider nonlinearities that are present in aeroelastic systems. Since aeroelasticity is of particularly importance to the fields of aeronautics, civil engineering and energy harvesting, we will limit the discussion of nonlinearity to these application areas. The nonlinear functions that are most often encountered in these systems have three main sources:
- the structure,
- the aerodynamics and
- the control system.
The structural nonlinearities of interest occur during the normal operation of the underlying engineering system. Nonlinearities appearing in damaged, cracked, plastically deformed and, in general, off-design systems are beyond the scope of this book. The most common forms of nonlinearity appearing in structures are geometric (caused by large deformations), clearance (i.e. freeplay, contact and other non-smooth phenomena), dissipative (i.e. friction or other nonlinear damping forces) and inertial (of particular interest in rotors and turbomachinery).
Aerodynamic nonlinearities arise from the existence of either unsteady separated flow or oscillating shock waves or a combination of the two (e.g. shock-induced separation). Separation-induced nonlinearity can affect all aeroelastic systems, although bluff bodies such as bridges, towers and cables are always exposed to it. Shock-induced nonlinearity is of interest mostly to the aeronautical industry. It should be noted that aerodynamic nonlinearity is inertial, dissipative and elastic.
Engineering structures are increasingly designed to feature passive and/or active control systems. These systems can either aim to stabilise the structure (e.g. suppress or mitigate unwanted vibrations) or to control it (e.g. aircraft automatic flight control systems). Passive systems can be seen as parts of the structure and therefore included...
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