Details
Originalsprache | Englisch |
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Titel des Sammelwerks | 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 |
Herausgeber/-innen | Nii O. Attoh-Okine, Bilal M. Ayyub |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 34-39 |
Seitenumfang | 6 |
ISBN (Print) | 9780769519975, 0769519970 |
Publikationsstatus | Veröffentlicht - 2003 |
Extern publiziert | Ja |
Veranstaltung | 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 - College Park, USA / Vereinigte Staaten Dauer: 21 Sept. 2003 → 24 Sept. 2003 |
Publikationsreihe
Name | 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 |
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Abstract
A fuzzy method for determining appropriate structural design is presented. Nonstochastic uncertainty is quantified using fuzzy values and fuzzy random variables. Fuzzy structural parameters are processed on the basis of a generally applicable numerical method for arbitrary nonlinear fuzzy structural analyses. Fuzzy randomness is introduced into a fuzzy probabilistic safety assessment. This leads to fuzzy results representing fuzzy structural responses and fuzzy safety levels. Referring to permissible structural responses and safety levels uncertain structural design parameters are derived. The nonlinear fuzzy structural analysis including uncertain structural design is demonstrated by way of an example.
ASJC Scopus Sachgebiete
- Entscheidungswissenschaften (insg.)
- Statistik, Wahrscheinlichkeit und Ungewissheit
- Mathematik (insg.)
- Steuerung und Optimierung
- Mathematik (insg.)
- Modellierung und Simulation
Zitieren
- Standard
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- Apa
- Vancouver
- BibTex
- RIS
4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003. Hrsg. / Nii O. Attoh-Okine; Bilal M. Ayyub. Institute of Electrical and Electronics Engineers Inc., 2003. S. 34-39 1236137 (4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Processing uncertainty in structural analysis, design and safety assessment
AU - Beer, M.
AU - Möller, B.
AU - Liebscher, M.
PY - 2003
Y1 - 2003
N2 - A fuzzy method for determining appropriate structural design is presented. Nonstochastic uncertainty is quantified using fuzzy values and fuzzy random variables. Fuzzy structural parameters are processed on the basis of a generally applicable numerical method for arbitrary nonlinear fuzzy structural analyses. Fuzzy randomness is introduced into a fuzzy probabilistic safety assessment. This leads to fuzzy results representing fuzzy structural responses and fuzzy safety levels. Referring to permissible structural responses and safety levels uncertain structural design parameters are derived. The nonlinear fuzzy structural analysis including uncertain structural design is demonstrated by way of an example.
AB - A fuzzy method for determining appropriate structural design is presented. Nonstochastic uncertainty is quantified using fuzzy values and fuzzy random variables. Fuzzy structural parameters are processed on the basis of a generally applicable numerical method for arbitrary nonlinear fuzzy structural analyses. Fuzzy randomness is introduced into a fuzzy probabilistic safety assessment. This leads to fuzzy results representing fuzzy structural responses and fuzzy safety levels. Referring to permissible structural responses and safety levels uncertain structural design parameters are derived. The nonlinear fuzzy structural analysis including uncertain structural design is demonstrated by way of an example.
KW - Appropriate technology
KW - Computational modeling
KW - Fuzzy set theory
KW - Numerical simulation
KW - Particle measurements
KW - Random variables
KW - Reliability engineering
KW - Safety
KW - Structural engineering
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84944715707&partnerID=8YFLogxK
U2 - 10.1109/ISUMA.2003.1236137
DO - 10.1109/ISUMA.2003.1236137
M3 - Conference contribution
AN - SCOPUS:84944715707
SN - 9780769519975
SN - 0769519970
T3 - 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003
SP - 34
EP - 39
BT - 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003
A2 - Attoh-Okine, Nii O.
A2 - Ayyub, Bilal M.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003
Y2 - 21 September 2003 through 24 September 2003
ER -