. . "10"^^ . "This paper contributes to the structural reliability problem by presenting a novel approach that enables for identification of stochastic oscillatory processes as a critical input for given mechanical models. Identification development follows a transparent image processing paradigm completely independent of state-of-the-art structural dynamics, aiming at delivering a simple and wide purpose method. Validation of the proposed importance sampling strategy is based on multi-scale cluster of realizations of digitally generated non-stationary stochastic processes. Good agreement with the reference pure Monte Carlo results indicates a significant potential in reducing the computational task of first passage probabilities estimation, an important feature in the field of e.g. probabilistic seismic design or risk assessment generally." . "Brno, \u010Cesk\u00E1 republika" . . . "1"^^ . . . "26110" . "Importance sampling strategy for oscillatory stochastic processes"@en . "140894" . "1"^^ . . "Importance sampling strategy for oscillatory stochastic processes" . . "Brno" . . "RIV/00216305:26110/12:PU102922" . "Podrou\u017Eek, Jan" . . "This paper contributes to the structural reliability problem by presenting a novel approach that enables for identification of stochastic oscillatory processes as a critical input for given mechanical models. Identification development follows a transparent image processing paradigm completely independent of state-of-the-art structural dynamics, aiming at delivering a simple and wide purpose method. Validation of the proposed importance sampling strategy is based on multi-scale cluster of realizations of digitally generated non-stationary stochastic processes. Good agreement with the reference pure Monte Carlo results indicates a significant potential in reducing the computational task of first passage probabilities estimation, an important feature in the field of e.g. probabilistic seismic design or risk assessment generally."@cs . "Ing. Vladislav Pokorn\u00FD - LITERA" . "[50DE7823F593]" . "REC 2012" . . . . "Stochastic process, Critical excitation, Reliability analysis, Importance sampling, Image processing, Pattern recognition, Identification problem"@en . "Importance sampling strategy for oscillatory stochastic processes"@cs . "2012-06-13+02:00"^^ . . "978-80-214-4507-9" . "RIV/00216305:26110/12:PU102922!RIV13-MSM-26110___" . "Importance sampling strategy for oscillatory stochastic processes"@en . . "Importance sampling strategy for oscillatory stochastic processes"@cs . "I" . "This paper contributes to the structural reliability problem by presenting a novel approach that enables for identification of stochastic oscillatory processes as a critical input for given mechanical models. Identification development follows a transparent image processing paradigm completely independent of state-of-the-art structural dynamics, aiming at delivering a simple and wide purpose method. Validation of the proposed importance sampling strategy is based on multi-scale cluster of realizations of digitally generated non-stationary stochastic processes. Good agreement with the reference pure Monte Carlo results indicates a significant potential in reducing the computational task of first passage probabilities estimation, an important feature in the field of e.g. probabilistic seismic design or risk assessment generally."@en . . . . "Importance sampling strategy for oscillatory stochastic processes" . . .