1975
DOI: 10.1115/1.3423521
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On the Distribution of the First-Passage Time for Normal Stationary Random Processes

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Cited by 510 publications
(189 citation statements)
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“…In this equation, f a denotes the mean rate of B-crossings [18], defined as crossings of the barrier level from below [28], and q e is an empirical shape factor of the PSD of the response process [28],…”
Section: Discussionmentioning
confidence: 99%
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“…In this equation, f a denotes the mean rate of B-crossings [18], defined as crossings of the barrier level from below [28], and q e is an empirical shape factor of the PSD of the response process [28],…”
Section: Discussionmentioning
confidence: 99%
“…The evaluation of the peak factors p k , p i and p g is based on the common assumption of the first-passage probability for normal stationary random processes X (t) with zero mean as proposed by Vanmarcke [28]. For details it is referred to [4,5,13,27,28].…”
Section: Discussionmentioning
confidence: 99%
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“…It is characterized by its probability density function which can be obtained by Monte Carlo simulations [9,29] or by resolution of the Chapman-Kolmogorov equation, via use of numerical [22] or semi-analytical methods such as a numerical path integration [48,21], approximation of the solution by a Galerkin scheme [37,36], a Poisson distribution based assumption [3]. These numerical approaches are important because there are very few problems in which the distribution of the first passage time can be established in closed-form [44,40]. This work seeks to provide an analytical understanding of this problem and therefore focuses on the average value of the first passage time instead of the complete distribution.…”
Section: First Passage Time Of the Parametric And Forced Oscillatorsmentioning
confidence: 99%
“…Particle absorption focuses mainly on random walks, however, a canonical case that does not necessarily extend to more general linear systems [1][2][3][4]. Seminal work by Crandall and others [5][6][7] explored the statistics of first-excursion for a lightly-damped oscillator with Gaussian process noise. Accurate formulas have been vigorously pursued especially for lightly damped oscillators, because a low damping ratio corresponds with long impulse responses, leading to a very long correlation time which complicates the analysis.…”
Section: Introductionmentioning
confidence: 99%