Details
| Original language | English |
|---|---|
| Title of host publication | Computational Fluid and Solid Mechanics 2003 |
| Publisher | Elsevier Inc. |
| Pages | 2074-2077 |
| Number of pages | 4 |
| ISBN (electronic) | 9780080529479 |
| ISBN (print) | 9780080440460 |
| Publication status | Published - 2 Jun 2003 |
| Externally published | Yes |
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.
Keywords
- Fuzzy probabilistic structural analysis, Fuzzy random function, Fuzzy random variable, Fuzzy stochastic finite element method, Uncertainty
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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Computational Fluid and Solid Mechanics 2003. Elsevier Inc., 2003. p. 2074-2077.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › 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 -