A Fuzzy Clustering Logic Life Loss Risk Evaluation Model for Dam-Break Floods

A dam is a complex and important water-retaining structure. Once the broken, flood will cause immeasurable damage to lives properties of downstream people, so it particularly have risk management. Since dam-break severe-consequence low-frequency event, corresponding fatalities caused by are difficult estimate due lack relevant data poor continuity. This paper analyzes direct indirect factors affecting life loss in failures studies characteristics, distribution rules, membership functions each factor. An adaptive differential evolution method constructed through an optimization mutation cross method. proposed evaluation also combines with fuzzy clustering iterative that capable evaluating similarity accidents. The effectiveness verified 16 case studies.