000013341 001__ 13341
000013341 005__ 20161114160337.0
000013341 04107 $$aeng
000013341 046__ $$k2009-06-22
000013341 100__ $$aSchiehlen, W.
000013341 24500 $$aColored noise excitation of engineering structures

000013341 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013341 260__ $$bNational Technical University of Athens, 2009
000013341 506__ $$arestricted
000013341 520__ $$2eng$$aIn structural dynamics the computation of the characteristics of stochastic processes is an important task. The standard approach is based on the spectral density analysis and the numerical integration of the resulting spectral density function to get the standard deviation or variance, respectively, of the stochastic process under consideration. An alternative approach is the covariance analysis which is an efficient method for the direct computation of systems with white noise excitation via the Lyapunov matrix equation. In this paper engineering structures with colored noise excitation are considered. The linear equations of motion of engineering structures are rewritten in state space form frequently used in control and system dynamics. Then, the covariance analysis is reviewed dealing with MATLAB’s Control System Toolbox. The modeling is extended to colored noise excitation by adding a shape filter to be adapted to measured data of the stochastic process under consideration. It turns out that the numerical tool is efficient for the extended system as well even if the system order is increasing. An example featuring colored random excitation of a vehicle running on an uneven rigid structure is presented. The dynamical loads to the structure are strongly depending on the suspension system of the vehicle.

000013341 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013341 653__ $$aEngineering Structures, Stochastic Dynamics, Covariance Analysis, Lyapunov Matrix Equation. Abstract. In structural dynamics the computation of the characteristics of stochastic processes is an important task. The standard approach is based on the spectral density analysis and the numerical integration of the resulting spectral density function to get the standard deviation or variance, respectively, of the stochastic process under consideration. An alternative approach is the covariance analysis which is an efficient method for the direct computation of systems with white noise excitation via the Lyapunov matrix equation. In this paper engineering structures with colored noise excitation are considered. The linear equations of motion of engineering structures are rewritten in state space form frequently used in control and system dynamics. Then, the covariance analysis is reviewed dealing with MATLAB’s Control System Toolbox. The modeling is extended to colored noise excitation by adding a shape filter to be adapted to measured data of the stochastic process under consideration. It turns out that the numerical tool is efficient for the extended system as well even if the system order is increasing. An example featuring colored random excitation of a vehicle running on an uneven rigid structure is presented. The dynamical loads to the structure are strongly depending on the suspension system of the vehicle.

000013341 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013341 720__ $$aSchiehlen, W.
000013341 8560_ $$ffischerc@itam.cas.cz
000013341 8564_ $$s323258$$uhttps://invenio.itam.cas.cz/record/13341/files/CD503.pdf$$yOriginal version of the author's contribution as presented on CD, section: Uncertainty analysis in structural dynamics and earthquake engineering - i.
000013341 962__ $$r13074
000013341 980__ $$aPAPER