Title :
Processing uncertainty in structural analysis, design and safety assessment
Author :
Beer, Michael ; Moller, Birgit ; Liebscher, M.
Author_Institution :
Inst. of Struct. Anal., Dresden Univ. of Technol.
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
Keywords :
probability; random processes; safety; structural engineering; uncertainty handling; arbitrary fuzzy safety level; fuzzy probabilistic safety assessment; fuzzy random variable; fuzzy structural parameter; fuzzy structural response; fuzzy value; nonlinear fuzzy structural analysis; nonstochastic uncertainty; uncertain structural design parameter; Appropriate technology; Computational modeling; Fuzzy set theory; Numerical simulation; Particle measurements; Random variables; Reliability engineering; Safety; Structural engineering; Uncertainty;
Conference_Titel :
Uncertainty Modeling and Analysis, 2003. ISUMA 2003. Fourth International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-7695-1997-0
DOI :
10.1109/ISUMA.2003.1236137