Hazard Assessment of Concrete Dam Cracks Based on Variable Fuzzy Sets and the Modified Analytic Hierarchy Process

The presence of cracks reduces the safety of concrete dams. Hazard assessment of concrete is imperative in order to reduce damage caused by cracking in dams. In this paper, we combine particle swarm optimization, analytic hierarchy process, and variable fuzzy set to overcome the limitations of traditional fuzzy methods in hazard assessment of cracks in concrete dams. A fuzzy variational integrated evaluation model was proposed to assess the hazard of cracks in concrete dams. Also, an indexing system and a systematic model for hazard assessment of cracks in concrete dams were constructed. The model is used to judge the hazard degree of cracks, and it is discussed and compared with the extenics method. The comparison results show that the model has a systematic evaluation procedure and an achievable computational flow with Python. In this paper, we hope to reduce the damage caused by cracks by using systematic patterns and evaluation methods to assess the hazard of cracks.