The mapping of reality with deterministic models suggests precision. The reality is that all the data and information are characterized by fuzziness, uncertainty, incompleteness and inaccuracy. To address this research topic, “Deutsche Forschungsgemeinschaft” (DFG) funds the priority program SPP1886: Polymorphic uncertainty modelling for the numerical design of structures. With the SPP novel methods for the numerical design of structures are developed considering the uncertainty. To support the work of the involved projects, a Summer School is held at the International Centre for Mechanical Sciences (CISM) in Udine from 8th to 10th October 2018. This Summer School followed by the internal Annual Meeting.
Michael Beer (Leibniz Universität Hannover, Germany)
Quantification of vague and heterogeneous information. Processing of fuzzy sets - from theory to numerical procedures.
Scott Ferson (University of Liverpool, UK)
Engineering design under aleatory and epistemic uncertainty. Validation and predictive capability.
David Moens (KU Leuven, Belgium)
Field approaches for dealing with spatial uncertainty in finite element models. Experimental identification and quantification of model uncertainty in numerical models.
Carsten Proppe (Karlsruhe Institute of Technology, Germany)
Propagation of uncertainty across scales. Surrogate models for reliability estimation.
