Titlebook: Computational Methods in Stochastic Dynamics; Volume 2 Manolis Papadrakakis,George Stefanou,Vissarion Pap Book 2013 Springer Science+Busine

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Micro/nanofiber Optical Sensors,e seismic behavior of the tested frame coupled to either a commonly used Rayleigh damping model or a proposed new model. Then, for each of these two damping models, we proceed to a structural fragility analysis and investigate the amount of uncertainty to be induced by damping models.

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Enhanced Monte Carlo for Reliability-Based Design and Calibration,ility ... Monte Carlo sampling occurs at a range of values for . that result in larger failure probabilities, and so the design problem essentially amounts to a statistical estimation of a high quantile. Bounds for .. can easily be constructed. Several examples of the approach are given in the paper.

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Identification of Properties of Stochastic Elastoplastic Systems, procedure is proposed. A validation study of identification procedure is done through a series of virtual experiments taking into account the influence of the measurement error and the order of approximation on the posterior estimate.

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Structural Seismic Fragility Analysis of RC Frame with a New Family of Rayleigh Damping Models,e seismic behavior of the tested frame coupled to either a commonly used Rayleigh damping model or a proposed new model. Then, for each of these two damping models, we proceed to a structural fragility analysis and investigate the amount of uncertainty to be induced by damping models.

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6.1 Classification and basic features,nerator of independent realizations are then developed. Several uncertain rigid bodies can be linked each to the others in order to calculate the random response of a multibody dynamical system. An application is proposed to illustrate the theoretical development.

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6.2.3 The energy density spectrum,n on a weakly nonlinear oscillator. In dealing with strongly nonlinear dynamics problems, a variational method is presented by formulating a convolution-type action and using the COE representation as trial functions.

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