Temperature-based for fatigue life prediction of large storage tanks via surface roughness

Under the complex influence of heavy load and external environment, the damage of the large storage tanks(LSTS)are aggravated. The service life and safety of the LSTS are reduced. In this paper, a fatigue life prediction method is proposed based on the environment temperature, surface roughness and force analysis of LSTS. The IMC model is obtained by improved the Manson-Coffin(MC) model. The model takes into account the influence of environment temperature and surface roughness of the tank. Using 45# steel as material, the accuracy of IMC model is verified by experiments. The effect of foundation settlement on tank bottom under heavy load is analyzed. By combining IMC model with LSTS force analysis, the fatigue life of LSTS is predicted. The results show that the predicted results of IMC are close to the actual life, and more accurate than the predicted results of MC.This approach presents a reliable method for predicting the life of LSTS.