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PODROUŽEK, J. BUCHER, C. DEODATIS, G.
Original Title
Identification of critical samples of stochastic processes towards feasible structural reliability applications
Type
journal article in Web of Science
Language
English
Original Abstract
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. The proposed method is based on a graphical representation of such processes utilizing state of the art image processing and pattern recognition techniques, leading to a set of finite rules that consistently identifies those realizations of stochastic processes that would lead to a critical response of a given mechanical model. To examine the validity of the suggested method, large sets of realizations of artificial non-stationary processes were generated from known models, several criteria for critical response were formulated and the results were statistically evaluated. The promising results suggest important applications that would dramatically decrease computational costs e.g. in the field of probabilistic seismic design. Further examination may lead to a formulation of a new class of importance sampling techniques.
Keywords
Critical excitation; Identification problem; Image processing; Importance sampling; Pattern recognition; Reliability analysis; Stochastic process
Authors
PODROUŽEK, J.; BUCHER, C.; DEODATIS, G.
RIV year
2015
Released
8. 1. 2015
Publisher
Elsevier Ltd.
Location
Holandsko
ISBN
0167-4730
Periodical
Structural Safety
Year of study
47
Number
2
State
Kingdom of the Netherlands
Pages from
39
Pages to
Pages count
9
BibTex
@article{BUT119189, author="Jan {Podroužek} and Christian {Bucher} and George {Deodatis}", title="Identification of critical samples of stochastic processes towards feasible structural reliability applications", journal="Structural Safety", year="2015", volume="47", number="2", pages="39--47", issn="0167-4730" }