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| Preface | p. xv |
| Introduction | p. 1 |
| Concept of Stability | p. 3 |
| Conservative Systems | p. 4 |
| Nonconservative Systems | p. 8 |
| Gyroscopic Systems | p. 18 |
| Motivating Examples | p. 19 |
| Column under Axial Load | p. 20 |
| Beam in Plane Motion | p. 22 |
| Viscoelastic Beam under Dynamic Axial Load | p. 28 |
| Flexural-Torsional Vibration of a Rectangular Beam | p. 33 |
| Vibration of a Rotating Shaft | p. 37 |
| Problems | p. 41 |
| Dynamic Stability of Structures under Deterministic Loadings | |
| Linear Differential Equations with Periodic Coefficients | p. 45 |
| Stability of the Mathieu-Hill Equations | p. 45 |
| Effect of Damping on the Mathieu-Hill Equations | p. 53 |
| Stability of Linear Differential Equations with Peridoic Coefficients | p. 55 |
| Stability of the Mathieu Equations | p. 56 |
| Formulation | p. 56 |
| Boundaries of the First Stability Region | p. 59 |
| Boundaries of the Second Stability Region | p. 60 |
| Boundaries of the Third Stability Region | p. 63 |
| Stability of the Damped Mathieu Equations | p. 64 |
| Periodic Solutions of Period 2T | p. 64 |
| Periodic Solutions of Period T | p. 66 |
| Problems | p. 67 |
| Approximate Methods | p. 68 |
| The Method of Averaging | p. 68 |
| Stability of the Undamped Mathieu Equations | p. 68 |
| Stability of the Damped Mathieu Equations | p. 75 |
| The Method of Multiple Scales | p. 76 |
| Motivating Example | p. 76 |
| Stability of the Undamped Mathieu Equations | p. 79 |
| Multiple Degrees-of-Freedom Non-Gyroscopic Systems | p. 79 |
| Averaged Equations of Motion | p. 79 |
| Parametric Resonances | p. 81 |
| Two Degrees-of-Freedom Gyroscopic Systems | p. 91 |
| Unperturbed System | p. 92 |
| Perturbed System | p. 93 |
| Multiple Degrees-of-Freedom Gyroscopic Systems | p. 101 |
| Problems | p. 106 |
| Nonlinear Systems under Periodic Excitations | p. 108 |
| Pendulum under Support Excitation | p. 108 |
| Column under Harmonic Axial Load | p. 113 |
| Steady-State Solutions | p. 113 |
| Stability of the Steady-State Solutions | p. 116 |
| Non-Trivial Solution | p. 117 |
| Trivial Solution | p. 118 |
| Instability Region | p. 122 |
| Snap-through of a Shallow Arch | p. 125 |
| Equations of Motion | p. 125 |
| Amplitude-Load-Frequency Relation | p. 125 |
| Multiple Degrees-of-Freedom Systems | p. 126 |
| Equations of Motion | p. 126 |
| Resonance Conditions and Averaged Equations | p. 129 |
| Stability of the Steady-State Solutions | p. 130 |
| Examples | p. 138 |
| Column under Harmonic Axial Load | p. 138 |
| Snap-Through of a Shallow Arch | p. 141 |
| Main Resonance | p. 141 |
| Parametric Resonance | p. 143 |
| Problems | p. 151 |
| Dynamic Stability of Structures under Stochastic Loadings | |
| Random Processes and Stochastic Differential Equations | p. 155 |
| Description of Random Processes | p. 156 |
| Processes with Orthogonal Increments | p. 164 |
| Wiener Process or Brownian Process | p. 165 |
| White Noise Process | p. 171 |
| Markov Processes | p. 173 |
| Diffusion Processes | p. 175 |
| Definition | p. 175 |
| Kolmogorov Equations | p. 177 |
| Backward Kolmogorov Equation | p. 177 |
| Forward Kolmogorov Equation (Fokker-Planck Equation) | p. 179 |
| Properties of the Fokker-Planck Equations | p. 181 |
| Stochastic Integrals | p. 187 |
| Stochastic Riemann Integrals | p. 187 |
| Riemann-Stieltjes Integrals | p. 188 |
| Generalized Stochastic Integral | p. 189 |
| The Ito Integral | p. 192 |
| Stochastic Differential Equations | p. 194 |
| General Theory of Stochastic Differential Equations | p. 194 |
| Ornstein-Uhlenbeck Process | p. 196 |
| Bounded Noise Process | p. 199 |
| Ito's Differential Rule (Ito's Lemma) | p. 202 |
| The Stratonovich Integral | p. 204 |
| The Stratonovich Stochastic Differential Equations | p. 206 |
| Approximation of a Physical Process by a Diffusion Process | p. 209 |
| Classification of the Boundaries of a Diffusion Process | p. 210 |
| The Method of Averaging | p. 212 |
| Averaging Method for Stochastic Differential Equations | p. 212 |
| Averaging Method for Integro-Differential Equations | p. 221 |
| Monte Carlo Simulation | p. 222 |
| Generation of Normally Distributed Random Numbers | p. 223 |
| Simulation of the Standard Wiener Process W(t) | p. 224 |
| Simulation of the Stochastic Differential Equations | p. 224 |
| Strong Approximation Schemes | p. 225 |
| Weak Approximation Schemes | p. 227 |
| Example - Duffing-van der Pol Equation | p. 229 |
| Strong Approximation Schemes | p. 230 |
| Weak Approximation Schemes | p. 231 |
| Problems | p. 232 |
| Almost-Sure Stability of Systems under Ergodic Excitations | p. 234 |
| Definitions | p. 234 |
| A.S. Asymptotic Stability of Second-Order Linear Stochastic Systems | p. 236 |
| Basic Equations | p. 237 |
| Systems with Arbitrary Ergodic Coefficients | p. 239 |
| Systems under Random Excitations with Known Probability Density Functions | p. 241 |
| Optimization Model | p. 241 |
| The Complex Method for Constrained Optimization | p. 244 |
| Numerical Solution for Systems with Ergodic Gaussian Coefficients | p. 245 |
| Stability of a Shallow Arch | p. 247 |
| Introduction | p. 247 |
| Static Case | p. 248 |
| Dynamic Case | p. 251 |
| Equations of Motion | p. 251 |
| Two-Dimensional Fokker-Planck Equation | p. 252 |
| Perturbation Equations | p. 253 |
| Sufficient Almost-Sure Asymptotic Stability Boundary | p. 254 |
| Numerical Example | p. 255 |
| Sufficient A.S. Stability Condition Using Schwarz's Inequality | p. 256 |
| Sufficient A.S. Stability Condition Using the Optimization Method | p. 257 |
| Moment Stability of Stochastic Systems | p. 261 |
| Moment Stability of Linear Stochastic Systems | p. 261 |
| Effect of Random Noise on the Stability of a Damped Mathieu Equation | p. 263 |
| Formulation: Averaged Equations | p. 263 |
| Moment Stability | p. 265 |
| Moment Stability of Coupled Linear Systems | p. 268 |
| Introduction | p. 268 |
| Averaged Equations | p. 270 |
| Moment Stability | p. 272 |
| Application: Flexural-Torsional Vibration of a Rectangular Beam | p. 275 |
| Lyapunov Exponents | p. 277 |
| Introduction | p. 277 |
| Simulation of Lyapunov Exponents | p. 280 |
| Lyapunov Exponents of Continuous Stochastic Dynamical Systems | p. 283 |
| Simulation of the Largest Lyapunov Exponent Using Khasminskii's Formulation | p. 289 |
| Systems under Non-White Excitations | p. 289 |
| Systems under White Noise Excitations | p. 291 |
| Lyapunov Exponents of Two-Dimensional Systems | p. 292 |
| Systems Exhibiting Pitchfork Bifurcation | p. 293 |
| Formulation of the Largest Lyapunov Exponent | p. 293 |
| Lyapunov Exponent of the Nilpotent System | p. 295 |
| Lyapunov Exponent by Asymptotic Expansion of Integrals | p. 298 |
| Lyapunov Exponent by Digital Simulation | p. 299 |
| Systems Exhibiting Hopf Bifurcation | p. 301 |
| Lyapunov Exponent by Asymptotic Expansion of Integrals | p. 302 |
| Lyapunov Exponent by Stochastic Averaging | p. 305 |
| Lyapunov Exponent by Digital Simulation | p. 306 |
| Lyapunov Exponent of a Two-Dimensional Viscoelastic System under Bounded Noise Excitation | p. 308 |
| Lyapunov Exponents and Stochastic Stability of Coupled Linear Systems | p. 318 |
| Formulation | p. 318 |
| Non-Singular Case | p. 322 |
| Singular Case | p. 328 |
| White Noise Excitation | p. 330 |
| Generalization to Multiple Degrees-of-Freedom Systems | p. 331 |
| Monte Carlo Simulation | p. 332 |
| Application: Flexural-Torsional Stability of a Rectangular Beam | p. 333 |
| Non-Follower Force Case | p. 334 |
| Follower Force Case | p. 336 |
| White Noise Excitation | p. 336 |
| Moment Lyapunov Exponents | p. 338 |
| Introduction | p. 338 |
| The Concept of Moment Lyapunov Exponent | p. 338 |
| The Partial Differential Eigenvalue Problem for Moment Lyapunov Exponent | p. 342 |
| Monte Carlo Simulation of the Moment Lyapunov Exponents | p. 348 |
| Moment Lyapunov Exponent of an Oscillator under Weak White Noise Excitation | p. 353 |
| Eigenvalue Problem for the Moment Lyapunov Exponents | p. 354 |
| Determination of the Moment Lyapunov Exponents Using a Method of Perturbation | p. 356 |
| Moment Lyapunov Exponents of a Two-Dimensional Near-Nilpotent System | p. 359 |
| Introduction | p. 359 |
| Formulation | p. 361 |
| Lyapunov Exponents | p. 364 |
| Moment Lyapunov Exponents | p. 367 |
| Two-Point Boundary-Value Problems | p. 367 |
| Numerical Solutions of Moment Lyapunov Exponents | p. 369 |
| Moment Lyapunov Exponents of an Oscillator under Real Noise Excitation | p. 373 |
| Formulation | p. 373 |
| Weak Noise Expansion of the Moment Lyapunov Exponent | p. 375 |
| Zeroth-Order Perturbation | p. 376 |
| Solution of L[subscript 0]T([zeta], [phi]) = f([zeta])g([phi]) | p. 377 |
| First-Order Perturbation | p. 379 |
| Second-Order Perturbation | p. 380 |
| Higher-Order Perturbation | p. 381 |
| Stability Index | p. 383 |
| Numerical Determination of Moment Lyapunov Exponents | p. 384 |
| Monte Carlo Simulation of Moment Lyapunov Exponents | p. 387 |
| Parametric Resonance of an Oscillator under Bounded Noise Excitation | p. 390 |
| Formulation | p. 390 |
| Weak Noise Expansions of the Moment Lyapunov Exponent Using a Method of Singular Perturbation | p. 394 |
| Perturbation Expansion | p. 394 |
| Zeroth-Order Perturbation | p. 395 |
| First-Order Perturbation | p. 395 |
| Second-Order Perturbation | p. 396 |
| Numerical Determination of the Moment Lyapunov Exponent | p. 401 |
| Concluding Remarks | p. 404 |
| Maple Programs | p. 405 |
| Stability Boundaries (Example 2.1.1, [section]2.1) | p. 405 |
| Stability Boundaries ([section]2.4.2) | p. 405 |
| Method of Averaging ([section]3.1.1) | p. 407 |
| Method of Multiple Scales ([section]3.2.2) | p. 408 |
| Stochastic Averaging (Example 5.16.1, [section]5.16.1]) | p. 412 |
| Stochastic Averaging ([section]7.2.1) | p. 414 |
| Method of Regular Perturbation ([section]9.3.2) | p. 415 |
| Lyapunov Exponents ([section]9.4.3) | p. 419 |
| Bibliography | p. 422 |
| Index | p. 429 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9780521852661
ISBN-10: 0521852668
Published: 24th June 2008
Format: Hardcover
Language: English
Number of Pages: 454
Audience: General Adult
Publisher: Cambridge University Press
Country of Publication: GB
Dimensions (cm): 18.6 x 26.3 x 3.1
Weight (kg): 1.13
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