Methods for numerical design under consideration of polymorphic uncertainty
Research topics
fuzzy random variable
- Development of uncertainty models to capture the real characteristics and reasons
results of fuzzy analysis (defuzzification using centroid method)
- Consideration of time- and spatial dependent uncertaintyfor input and result data
- Efficient numerical solution methods, based on metamodels (surrogate models)
progress of opimization
- Methods to establish of an efficient optimization task considering a priori available data (data exploration, visualization of high dimensional parameter spaces, sensitivity analysis)
- Further developments of software “Winfuz” and “DESA” for uncertain numerical analysis and optimization
Current Projects
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Polymorphic uncertainty modelling for the numerical design of structures
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Structural design of reinforced concrete based on multiscale modelling and polymorphic uncertainty (SPP1886)
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Multi-objective optimization of wooden structures with polymorphic uncertain parameters (SPP1886)
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Numerical design methods under consideration of polymorphic uncertainty (DFG)
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Design of durable tires in consideration of uncertain data
Funding
Deutsche Forschungsgemeinschaft (DFG)
Time- and spatially-dependent sensitivity analysis