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Adaptive reduced basis strategy based on goal oriented error assessment for stochastic problems

Autor
Florentin, E.; Diez, P.
Tipus d'activitat
Article en revista
Revista
Computer methods in applied mechanics and engineering
Data de publicació
2012-06
Volum
225-228
Pàgina inicial
116
Pàgina final
127
DOI
https://doi.org/10.1016/j.cma.2012.03.016 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/116664 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S0045782512000928?via%3Dihub Obrir en finestra nova
Resum
In the framework of stochastic non-intrusive finite element modeling, a common practice is using Monte Carlo simulation. The main drawback of this approach is the computational cost, because it requires computing a large number of deterministic finite element solutions. The different Monte Carlo samplings correspond to realizations of the random variables characterizing the stochastic behavior of the model. Thus, this requires solving a set deterministic problems with the same structure, that is...
Citació
Florentin, E., Diez, P. Adaptive reduced basis strategy based on goal oriented error assessment for stochastic problems. "Computer methods in applied mechanics and engineering", Juny 2012, vol. 225-228, p. 116-127.
Paraules clau
Adaptivity, Goal-oriented error assessment, Reduced basis, Stochastic modeling
Grup de recerca
LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria

Participants

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