Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | Computational Fluid and Solid Mechanics 2003 |
Herausgeber (Verlag) | Elsevier Inc. |
Seiten | 2074-2077 |
Seitenumfang | 4 |
ISBN (elektronisch) | 9780080529479 |
ISBN (Print) | 9780080440460 |
Publikationsstatus | Veröffentlicht - 2 Juni 2003 |
Extern publiziert | Ja |
Abstract
Using fuzzy random functions it is possible to mathematically describe uncertainty characterized by fuzzy randomness. Fuzzy randomness arises when random variables - e.g. as a result of changing boundary conditions - cannot be observed with exactness. Fuzzy random functions may also be interpreted as fuzzified random functions, as the random event can only be observed in an uncertain manner. For the nonlinear analysis of a RC structure with the aid of a crisp (or uncertain) algorithm and with fuzzy random functions (and random functions) as input values as well as fuzzy values as model parameters, the fuzzy stochastic finite element method (FSFEM) is introduced.
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- Allgemeiner Maschinenbau
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Computational Fluid and Solid Mechanics 2003. Elsevier Inc., 2003. S. 2074-2077.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review
}
TY - CHAP
T1 - Fuzzy stochastic finite element method
AU - Möller, Bernd
AU - Graf, Wolfgang
AU - Beer, Michael
AU - Sickert, Jan Uwe
PY - 2003/6/2
Y1 - 2003/6/2
N2 - Using fuzzy random functions it is possible to mathematically describe uncertainty characterized by fuzzy randomness. Fuzzy randomness arises when random variables - e.g. as a result of changing boundary conditions - cannot be observed with exactness. Fuzzy random functions may also be interpreted as fuzzified random functions, as the random event can only be observed in an uncertain manner. For the nonlinear analysis of a RC structure with the aid of a crisp (or uncertain) algorithm and with fuzzy random functions (and random functions) as input values as well as fuzzy values as model parameters, the fuzzy stochastic finite element method (FSFEM) is introduced.
AB - Using fuzzy random functions it is possible to mathematically describe uncertainty characterized by fuzzy randomness. Fuzzy randomness arises when random variables - e.g. as a result of changing boundary conditions - cannot be observed with exactness. Fuzzy random functions may also be interpreted as fuzzified random functions, as the random event can only be observed in an uncertain manner. For the nonlinear analysis of a RC structure with the aid of a crisp (or uncertain) algorithm and with fuzzy random functions (and random functions) as input values as well as fuzzy values as model parameters, the fuzzy stochastic finite element method (FSFEM) is introduced.
KW - Fuzzy probabilistic structural analysis
KW - Fuzzy random function
KW - Fuzzy random variable
KW - Fuzzy stochastic finite element method
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84941639097&partnerID=8YFLogxK
U2 - 10.1016/B978-008044046-0.50509-1
DO - 10.1016/B978-008044046-0.50509-1
M3 - Contribution to book/anthology
AN - SCOPUS:84941639097
SN - 9780080440460
SP - 2074
EP - 2077
BT - Computational Fluid and Solid Mechanics 2003
PB - Elsevier Inc.
ER -