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Random vibration and statistical linearization

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TLDR
In this paper, a comprehensive account of statistical linearization with related techniques allowing the solution of a very wide variety of practical non-linear random vibration problems is given, and the principal value of these methods is that they are readily generalized to deal with complex mechanical and structural systems and complex types of excitation such as earthquakes.
Abstract
Interest in the study of random vibration problems using the concepts of stochastic process theory has grown rapidly due to the need to design structures and machinery which can operate reliably when subjected to random loads, for example winds and earthquakes. This is the first comprehensive account of statistical linearization - powerful and versatile methods with related techniques allowing the solution of a very wide variety of practical non-linear random vibration problems. The principal value of these methods is that unlike other analytical methods, they are readily generalized to deal with complex mechanical and structural systems and complex types of excitation such as earthquakes.

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Incomplete data based parameter identification of nonlinear and time-variant oscillators with fractional derivative elements

TL;DR: In this paper, a multiple-input/single-output (MISO) system identification technique is developed for parameter identification of nonlinear and time-variant oscillators with fractional derivative terms subject to incomplete non-stationary data.
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Statistical Linearization of Nonlinear Structural Systems with Singular Matrices

TL;DR: In this paper, a generalized statistical linearization technique is developed for determining approximately the stochastic response of nonlinear dynamic systems with singular matrices, and a family of optimal and response-dependent equivalent linear matrices is derived.
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Co-simulation of ship motions and sloshing in tanks

TL;DR: Simulations disclose nonlinear phenomena and indicate the capability of the developed approach of identifying the reduction of anti-rolling tank effectiveness for too small tank lengths and/or too large forcing wave steepnesses.
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Random vibrations of stress-driven nonlocal beams with external damping

TL;DR: In this article, a stochastic partial differential equation in space and time governing time-evolution of the relevant displacement field is characterized by a dynamic problem, which is characterized with stochastically partial differential equations.
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Modeling and Simulation of Linear and Nonlinear MEMS Scale Electromagnetic Energy Harvesters for Random Vibration Environments

TL;DR: The simulation results for electromagnetic energy harvesters (EMEHs) under broad band stationary Gaussian random excitations indicate the importance of both a high transformation factor and a high mechanical quality factor to achieve favourable mean power, mean square load voltage, and output spectral density.