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Institut für Statik und Dynamik der Tragwerke
Prof. Dr.-Ing. habil. B. Möller
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Robust design with the aid of cluster algorithms (Fuzzy Cluster Design)

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This concept for uncertain structural design permits to design a structure on the basis of an arbitrary nonlinear structural analysis and additionally takes account of uncertainty. It makes use of fuzzy analysis and fuzzy safety assessment. The algorithm of fuzzy cluster design is a capable tool for the determination of permissible structural design parameters and for fuzzy result assessment.

The problem to be solved is that nonlinear  fuzzy structural analysis and fuzzy probabilistic safety assessment do not permit to conclude directly from fuzzy results back to the assigned fuzzy input parameters. There are only few quasi arbitrary distributed crisp points in the space of input parameters. This already known points in the design space can always be separated into permissible and non-permissible ones by the evaluation of the design contrains for respectively assigned result points.

 fig_search_designv
Fig. 1: Problem to be solved: Determination of convex sets of permissible design vectors

Algorithmic procedure

The algorithmic procedure of Fuzzy Cluster Design can be described with the following three steps:

  1. Convex and connected sets of permissible and non-permissible points have to be determined. For that purpose crisp cluster algorithms and fuzzy cluster algorithms offer a suitable basis. The detected permissible clusters represent possible  alternative design variants.
  2. These possible alternative design variants are modeld as fuzzy input values and are again introduced into  fuzzy structural analysis.  The obtained associated fuzzy results are compared to given design contrains again.
  3. After the determination of different alternative design variants that all meets the given design constraints the alternative design variants are assessed together with theire results in consideration of robustness and distance to design contrains.
 
clusters
Fig. 2: Detected permissible and non-permissible clusters in the design space

Assessment of alternative design variants

The uncertainty of the alternative design variants is assessed with a robustness measure on basis of an analog to Shannon´s entropy


That means, if the uncertainty design parameters of a design variant takes high in realtion to to uncertainty of the result the assigned structural design is considers as being robust. A second criterion is the comparison of the design constraint  dc = perm_zj with the fuzzy results yield from the different design variants. Therefore the fuzzy results have to be transformed into crisp values with the aid of defuzzification methods (e.g. centroid, or methods after Jain and Chen). The design variant that maximizes the equation

eq2
is considered being the best one.

References

 

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