A novel fuzzy approach to gas pipeline risk assessment under influence of ground movement

Abstract The gas transport infrastructure is frequently localized in areas subjected to anthropogenic movements and strains. potential impact of the ground on pipeline aspect its damage can be properly assessed e.g. by predicting strains, taking into account causes terrain movement. On other hand, hazard also related technological factors like design pipeline. presented method based artificial intelligence methods allowing for evaluation probability failure risk supply sections. Mamdani fuzzy inference was used this study. Uncertainty variables characterizing resistance predicted continuous deformations surface were accounted model using triangular-shaped membership functions. Based one make prediction when hazarded. There estimated two most hazarded parts pipelines. We proved that proposed contribute protection, costoptimization designed pipelines repairs existing