Embedding polymorphic uncertainty analysis into the recently developed solution space methodology, which enables topology, shape, size and material optimization of structural systems for impact cases by decoupled development and optimization of the system components
Develop a strategy for polymorphic uncertainty integration into the solution space approach and the corresponding hierarchical optimization considering various types of uncertainties, e.g. probabilistic, possibilistic, lack-of-knowledge and modeling uncertainties
More specifically, include robustness with respect to lack-of-knowledge and possibilistic uncertainties related to aspects unknown in early development phases of structural systems
Complement this by embedding reliability and probabilistic methods into the solution space methodology to account for uncertainties in modeling, load case definitions, material and geometric parameters
Assure generality by realizing a modular approach where the different types of uncertainties can be considered in a flexible manner according to the structural design problem
