Study On Damage Identification Of Pipeline Based On Vibration Modal Analysis And Neural Network

Pipelines occupy an important position in the national life and production as an important transportation tool. They will produce damage when they are in the production processing, transportation and use of late because of various factors from outside. So to conduct damage identification timely and early prediction is of great significance for the normal operation of pipeline. As to the conventional nondestructive testing technology, they have many shortcomings such as huge-investment, Low efficiency and Knowing in advance the damage location roughly. So vibration-based damage identification technology is widely used.The main task of this research work is to explore the application of frequency, modal strain energy and strain modal in the pipeline damage identification through the finite element analysis using ANSYS. Then analysis the feasibility of location and damage degree judgment in the pipe and study the sensitivity of each method to identification single or multiple damage. Discuss the application of combining the frequency, Modal strain energy and strain modal with BP Neural network in the pipeline damage identification through the research the principle of artificial neural network used for pipeline damage identification. What’s more, verify the effectiveness of strain modal in practical engineering application though test mode technology. Finally, summarize the full text, and put forward further research content...