Abstract
To improve the identification sensitivity of local damages in pipelines, we propose an added virtual mass method thatprevents adding real masses to the pipeline. First, we develop a method of adding virtual masses to pipelines based on the virtual distortion method (VDM). Second, a frequency response to the added mass is constructed using the excitation and acceleration responses. The quantity of mass and the corresponding selected natural frequency with high sensitivity are both determined by the analyzing the sensitivity of the relationship between mass and natural frequency. Finally, the degree of damage can be accurately identified by adding virtual masses on the substructure of the pipeline combined with sensitivity and frequency. Using numerical simulations and experiments, we verify the feasibility of the added virtual mass method for the identification of damages to pipeline structures.
Highlights
Pipelines usually transport flammable, explosive, toxic, or corrosive media under extremely harsh environments
In terms of the current research situation, the damage identification method based on structural vibration characteristics mainly includes: the method based on structural dynamic characteristics, method based on frequency response (FRF), time series method, method based on model correction, Intelligent optimization algorithm, method based on probability and statistics and the method based on damage location vector (DLV)
Using the basic concept of virtual distortion method (VDM), this paper proposes the addition of virtual masses to pipeline structures and accurately identifying damage degree with combined sensitivity and frequency
Summary
Explosive, toxic, or corrosive media under extremely harsh environments. In terms of the current research situation, the damage identification method based on structural vibration characteristics mainly includes: the method based on structural dynamic characteristics (frequency, vibration mode, flexibility matrix, strain mode, and so on), method based on frequency response (FRF), time series method, method based on model correction, Intelligent optimization algorithm, method based on probability and statistics and the method based on damage location vector (DLV) Adding control parameters, such as mass and stiffness, on the structure provides an effective method for damage identification by changing the shape of the structure [8,9,10]. Using the basic concept of VDM, this paper proposes the addition of virtual masses to pipeline structures and accurately identifying damage degree with combined sensitivity and frequency. The damage represents the longitudinal split of the pipe in real life, but in order to achieve the experimental results, the simulated damage is relatively large
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