International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)

Pedestrian bridges monitoring data for stochastic modelling of human-induced loads Casciati, Sara; Casciati, Fabio; Faravelli, Lucia


A model of the human-induced actions, where the consequences of humans unpredictability, together with their response to social and psychological stimuli, are regarded as stochasticity, is developed. After defining a moving grid of nodes in the direction of the crossing, an average action per node is assigned. This value is modified by the following two contributions. A fluctuation, which involves two spatial variables and the time variable, is introduced by stochastic simulation, with a cross-spectral density function which accounts for the spatial dispersion of the single trajectories. A geometric shape function is formulated to account for a non-homogeneous spatial distribution of the pedestrians across the bridge deck.

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