Estimation of second order statistics of uncertain linear systems applying linear expansion and monte carlo simulation

C. H. Acevedo, I. V. González, M. A. Valdebenito, H. A. Jensen

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Second order statistics of the response of stochastic finite element models can be estimated applying either linear perturbation or Monte Carlo simulation. The former approach is quite convenient from a numerical viewpoint, although its accuracy may be limited; the latter approach can be highly accurate, at the expense of increased numerical costs due to repeated simulation. Hence, this contribution presents a control variates approach that takes advantage of the virtues of both linear perturbation and Monte Carlo simulation, in order to produce estimates of the second order statistics of stochastic finite element models with reduced variability. The application of the proposed approach is illustrated by means of a numerical example.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 29th European Safety and Reliability Conference, ESREL 2019
EditoresMichael Beer, Enrico Zio
EditorialResearch Publishing Services
Páginas2078-2082
Número de páginas5
ISBN (versión digital)9789811127243
DOI
EstadoPublicada - 2020
Evento29th European Safety and Reliability Conference, ESREL 2019 - Hannover, Alemania
Duración: 22 sep. 201926 sep. 2019

Serie de la publicación

NombreProceedings of the 29th European Safety and Reliability Conference, ESREL 2019

Conferencia

Conferencia29th European Safety and Reliability Conference, ESREL 2019
País/TerritorioAlemania
CiudadHannover
Período22/09/1926/09/19

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