Search for dissertations about: "nonlinear structural damping"
Showing result 1 - 5 of 8 swedish dissertations containing the words nonlinear structural damping.
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1. Characterisation of Nonlinear Structural Dynamic Systems in Conceptual Design
Abstract : The engine and driveline systems of passenger cars generates and distributes the necessary driving power and are major contributors to vehicle emissions, noise and vibrations, etc. More environmental friendly technologies under development are expected to intensify and add new comfort related problems, since most of them affect vibration sources or system damping. READ MORE
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2. Wave Propagation in Structural Elements - Direct and Inverse Problems in the Time Domain
Abstract : The subject of this thesis is direct and inverse wave propagation problems in structural elements. The considered structures are beams, plates and rods. The models for the beams and the plates are based on linear theory, while the rods are assumed to be nonlinear. The greater part of the work concerns the Timoshenko beam. READ MORE
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3. A Methodology for Efficient Conceptual Design Analysis of Nonlinear Dynamic Structural Systems
Abstract : There is a typical requirement conflict between fuel consumption and noise and vibrations in passenger cars. Obviously the combustion engine is a major source of vibration and has an influence on vehicle emissions. Similar properties apply to the power transferring mechanical driveline system. READ MORE
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4. Simulation and Experimental Methods for Characterization of Nonlinear Mechanical Systems
Abstract : Trial and error and the use of highly time-consuming methods are often necessary for investigation and characterization of nonlinear systems. However, for the rather common case where a nonlinear system has linear relations between many of its degrees of freedom there are opportunities for more efficient approaches. READ MORE
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5. System identification of large-scale linear and nonlinear structural dynamicmodels
Abstract : System identification is a powerful technique to build a model from measurement data by using methods from different fields such as stochastic inference, optimization and linear algebra. It consists of three steps: collecting data, constructing a mathematical model and estimating its parameters. READ MORE