Beams are among the most commonly used structural members that are encountered in virtually all systems of structural design at various scales. Mathematical models used to determine the response of beams under external loads are deduced from the three-dimensional elasticity theory through a series of assumptions concerning the kinematics of deformation and constitutive behavior. The kinematic assumptions exploit the fact that such structures do not experience significant trans- verse normal and shear strains and stresses. For example, the solution of the three- dimensional elasticity problem associated with a straight beam is reformulated as a one-dimensional problem in terms of displacements whose form is presumed on the basis of an educated guess concerning the nature of the deformation. In many cases beam structures are subjected to compressive in-plane loads that may cause out-of-plane buckling of the beam. Typically, before buckling and during compression, the beam develops internal axial force that makes the beam stiffer. In the linear buckling analysis of beams, this internal force is not considered. As a result the buckling loads predicted by the linear analysis are not accurate. The present study is motivated by lack of suitable theory and analysis that considers the nonlinear effects on the buckling response of beams. This thesis contains three new developments: (1) the conventional beam theories are generalized by accounting for nonlinear terms arising from εzz and εxz that are of the same magnitude as the von K´arm´an nonlinear strains appearing in εxx. The equations of motion associated with the generalized Euler–Bernoulli and Timoshenko beam theories with the von K´arm´an type geometric nonlinear strains are derived using Hamilton’s principle. These equations form the basis of investigations to determine certain microstructural length scales on the bending, vibration and buckling response of beams used in micro- and nano-devices. (2) Analytical solutions of the conventional Timoshenko beam theory with the von K´arm´an nonlinearity are de- veloped for the case where the inplane inertia is negligible when compared to other terms in the equations of motion. Numerical results are presented to bring out the effect of transverse shear deformation on the buckling response. (3) The development of a nonlinear finite element model for post-buckling behavior of beams.

Many seemingly simple systems can display extraordinarily complex dynamics which has been studied and uncovered through nonlinear dynamical theory. The leitmotif of this thesis is changing phase-space structures and their (linear or nonlinear) stabilities by adding control functions (which act on the system as external perturbations) to the relevant Hamiltonians. These phase-space structures may be periodic orbits, invariant tori or their stable and unstable manifolds. One-electron systems and diatomic molecules are fundamental and important staging ground for new discoveries in nonlinear dynamics. In past years, increasing emphasis and effort has been put on the control or manipulation of these systems. Recent developments of nonlinear dynamical tools can provide efficient ways of doing so. In the first subtopic of the thesis, we are adding a control function to restore tori at prescribed locations in phase space. In the remainder of the thesis, a control function with parameters is used to change the linear stability of the periodic orbits which govern the processes in question. In this thesis, we report our theoretical analyses on multiphoton ionization of Rydberg atoms exposed to strong microwave fields and the dissociation of diatomic molecules exposed to bichromatic lasers using nonlinear dynamical tools. This thesis is composed of three subtopics. In the first subtopic, we employ local control theory to reduce the stochastic ionization of hydrogen atom in a strong microwave field by adding a relatively small control term to the original Hamiltonian. In the second subtopic, we perform periodic orbit analysis to investigate multiphoton ionization driven by a bichromatic microwave field. Our results show quantitative and qualitative agreement with previous studies, and hence identify the mechanism through which short periodic orbits organize the dynamics in multiphoton ionization. In addition, we achieve substantial time savings with this approach. In the third subtopic we extend our periodic orbit analysis to the dissociation of diatomic molecules driven by a bichromatic laser. In this problem, our results based on periodic orbit analysis again show good agreement with previous work, and hence promise more potential applications of this approach in molecular physics.

This dissertation presents analog circuit analysis and design from a nonlinear dynamics perspective. An introduction to fundamental concepts of nonlinear dynamical systems theory is given. The procedure of nondimensionalization is used in order to derive the state space representation of circuits. Geometric tools are used to analyze nonlinear phenomena in circuits, and also to develop intuition about how to evoke certain desired behavior in the circuits. To predict and quantify non-ideal behavior, bifurcation analysis, stability analysis and perturbation methods are applied to the circuits. Experimental results from a reconfigurable analog integrated circuit chip are presented to illustrate the nonlinear dynamical systems theory concepts. Tools from nonlinear dynamical systems theory are used to develop a systematic method for designing a particular class of integrated circuit sinusoidal oscillators. This class of sinusoidal oscillators is power- and area-efficient, as it uses the inherent nonlinearity of circuit components to limit the oscillators' output signal amplitude. The novel design method that is presented is based on nonlinear systems analysis, which results in high-spectral purity oscillators. This design methodology is useful for applications that require integrated sinusoidal oscillators that have oscillation frequencies in the mid- to high- MHz range. A second circuit design example is presented, namely a bandpass filter for front end auditory processing. The bandpass filter mimics the nonlinear gain compression that the healthy cochlea performs on input sounds. The cochlea's gain compression is analyzed from a nonlinear dynamics perspective and the theoretical characteristics of the dynamical system that would yield such behavior are identified. The appropriate circuit for achieving the desired nonlinear characteristics are designed, and it is incorporated into a bandpass filter. The resulting nonlinear bandpass filter performs the gain compression as desired, while minimizing the amount of harmonic distortion. It is a practical component of an advanced auditory processor.

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No description available.

Thesis (Ph.D.)--Mississippi State University. Department of Mathematics and Statistics. / Title from title screen. Includes bibliographical references.

Orientadores: Romis Ribeiro de Faissol Attux, Ricardo Suyama / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-19T01:05:07Z (GMT). No. of bitstreams: 1 Soriano_DiogoCoutinho_D.pdf: 11590205 bytes, checksum: 910b0e2b03527e1ad8b7a82694be170a (MD5) Previous issue date: 2011 / Resumo: A presente tese de doutoramento apresenta contribuições à análise de estabilidade, ao controle e ao processamento de sinais no contexto de sistemas dinâmicos não-lineares. No que se refere à análise de estabilidade, este trabalho apresenta um novo método para calcular o espectro de Lyapunov para soluções de sistemas dinâmicos a partir de cópias ("clones") das equações de estado com pequenas perturbações nas condições iniciais. A proposta se caracteriza por: não exigir linearizações das equações de movimento; possibilitar a estimação parcial do espectro de Lyapunov; viabilizar a estimação do espectro para sistemas dinâmicos não-suaves. Além disso, este procedimento de cálculo é utilizado para construir uma estratégia de controle de sistemas dinâmicos baseada no ajuste de parâmetros livres que levam a um determinado espectro de Lyapunov desejado, estratégia esta que é testada no âmbito do modelo neuronal de Hodgkin-Huxley. Como contribuição no contexto de processamento de sinais, este trabalho se dedica a apresentar uma nova metodologia para separação de sinais caóticos misturados com sinais estocásticos baseada na análise por quantificação de recorrência, assim como uma nova técnica de sombreamento e filtragem de sinais caóticos quando a estrutura das equações de estado está disponível / Abstract: This doctoral thesis presents contributions to the stability analysis, control and signal processing in the context of nonlinear dynamical systems. With regard to the stability analysis, this work presents a new method to calculate the Lyapunov spectrum of solutions for dynamical systems based on copies ("clones") of the state equations with small perturbations in the initial conditions. The proposal has the following key features: it does not require linearization of the motion equations; it allows the partial estimation of the Lyapunov spectrum; it allows the spectrum estimation for non-smooth dynamical systems. Moreover, this calculation procedure is used to construct a strategy of control of dynamical systems based on the selection of parameters that lead to a particular desired Lyapunov spectrum, which is tested for the neuronal model proposed by Hodgkin and Huxley. As a contribution in the context of signal processing, this work presents a new methodology for blind source separation of chaotic signals mixed with stochastic sources based on recurrence quantification analysis, as well as a new technique for shadowing and filtering chaotic signals when the structure of the state equations is available / Doutorado / Automação / Doutor em Engenharia Elétrica

This study described an alternative approach for flotation circuit optimization using a mathematical programming technique. Mathematical formulation resulted in mixed integer nonlinear programming problem. Experimental method was used to determine operating conditions of flotation circuit such as flotation circuit stream grades. These conditions were used as the basis for solving optimization problem formulated. The results of the optimization problem were obtaining by setting up the problem in MATLAB optimization toolbox. Performance of flotation circuit in terms of recovery with respect to operating conditions such as residence, number of cells and rate constant has been presented. Stage recoveries were presented as well as overall recovery of the entire flotation circuit. Optimization strategy used superstructure to compare and analyse different alternatives flotation circuits configurations on the basis of stage recoveries. Five circuit alternatives were evaluated are best performing were identified. The statistical analysis was carried out using Statistical Package for Social Sciences (SPSS) software for analysing data derived from mathematical formulation developed for three stages of flotation circuit. Statistically, alternatives A and B can be considered as the most efficient alternatives for the Rougher recovery since they have the same highest means relative to others. Alternative B has the highest mean of 0.995 followed by Alternative A with a mean of 0.991, the least being alternatives D, C and E, respectively. These results imply that Alternative B could be the most efficient alternatives for overall circuit recovery against all other alternatives. One of the key findings were that recovery rate at the rougher stage is higher than the one at the cleaner stage. This results also showed flotation circuits with recycle streams yield comparatively good performance in terms of recovery at rougher stage as compared to circuit without recycle stream. / Civil and Chemical Engineering / M. Tech. (Chemical Engineering)

This study investigates wave propagation in an elastic half-space with quadratic nonlinearity due to a line load on the surface. The consideration of this problem is one of the well known Lamb problems. Even since Lamb's original solution, numerous investigators have obtained solutions to many different variants of the Lamb problem. However, most of the solutions existing in the current literature are limited to wave propagation in a linear elastic half-space. In this work, the Lamb problem in an elastic half-space with quadratic nonlinearity is considered. For this, the problem is first formulated as a hyperbolic system of conservation laws, which is then solved numerically using a semi-discrete central scheme. The numerical method is implemented using the package CentPack. The accuracy of the numerical method is first studied by comparing the numerical solution with the analytical solution for a half-space with linear response (the original Lamb's problem). The numerical results for the half-space with quadratic nonlinearity are than studied using signal-processing tools such as the fast Fourier transform (FFT) in order to analyze and interpret any nonlinear effects. This in particular gives the possibility to evaluate the excitation of higher order harmonics whose amplitude is used to infer material properties. To quantify and compare the nonlinearity of different materials, two parameters are introduced; these parameters are similar to the acoustical nonlinearity parameter for plane waves.

When statistical assumptions do not hold and coherent structures are present in spatially extended systems such as fluid flows, flame fronts and field theories, a dynamical description of turbulent phenomena becomes necessary. In the dynamical systems approach, theory of turbulence for a given system, with given boundary conditions, is given by (a) the geometry of its infinite-dimensional state space and (b) the associated measure, that is, the likelihood that asymptotic dynamics visits a given state space region. In this thesis this vision is pursued in the context of Kuramoto-Sivashinsky system, one of the simplest physically interesting spatially extended nonlinear systems. With periodic boundary conditions, continuous translational symmetry endows state space with additional structure that often dictates the type of observed solutions. At the same time, the notion of recurrence becomes relative: asymptotic dynamics visits the neighborhood of any equivalent, translated point, infinitely often. Identification of points related by the symmetry group action, termed symmetry reduction, although conceptually simple as the group action is linear, is hard to implement in practice, yet it leads to dramatic simplification of dynamics. Here we propose a scheme, based on the method of moving frames of Cartan, to efficiently project solutions of high-dimensional truncations of partial differential equations computed in the original space to a reduced state space. The procedure simplifies the visualization of high-dimensional flows and provides new insight into the role the unstable manifolds of equilibria and traveling waves play in organizing Kuramoto-Sivashinsky flow. This in turn elucidates the mechanism that creates unstable modulated traveling waves (periodic orbits in reduced space) that provide a skeleton of the dynamics. The compact description of dynamics thus achieved sets the stage for reduction of the dynamics to mappings between a set of Poincare sections.