Design knowledge extraction from scenario-based databases using associative search engine for FR-induced decisions

The authors set the functional requirement of “reduce your own risk” and ran sessions of associative search to extract useful knowledge from databases. Ninety engineers found the most analogous knowledge using the associative search engine “GETA/IMAGINE” on scenario-based databases “Failure Knowledge Database” and “100 Scenarios of Failure.” Above 60% of their risk concern cases successfully reached the most analogous accident cases or failure scenarios from either database in about 10 min. Associative search can aid the designer in selecting design solutions for the functional domain.