COMPARISON OF FUZZY SET AND CONVEX MODEL THEORIES IN STRUCTURAL DESIGN
By C. Pantelides, S. Ganzerli. 2001
53 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanical Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/fc17027825405ff6bdce70b65d26f640b1b0a133
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In Civil and Structural Engineering
In Mechanical Engineering
In Statistics and Probability
Citations in the corpus
- Eigenvalue bounds of structures with uncertain-but-bounded parameters (2005, background): “specified in a number of ways, such as probablistic [1], convex [2] or fuzzy [3] descriptions.”
- A novel shape function approach of dynamic load identification for the structures with interval uncertainty (2016, methodology): “Among lots of uncertainty modeling methods, interval analysis (Elishakoff et al. 1994; Pantelides and Ganzerli 2001; Qiu and Wang 2003; Zhou et al. 2006) is an efficient one through which only the bounds of uncertain parameters instead of the precise probability distributions need to be required.”
- Optimization of structures with uncertain constraints based on convex model and satisfaction degree of interval (2007, background): “multi-dimensional box or ellipsoid, and thus the clustering of the uncertain events is defined [3].”
- Exact bounds for the static response set of structures with uncertain-but-bounded parameters (2006, methodology): “in an engineering structure, three approaches are used for its analysis and design (Ben-Haim and Elishakoff, 1990; Elishakoff, 1983; Ganzerli and Pantelides, 2000; Pantelides and Ganerli, 2001).”