Research on Simulation Identification Method of Two-Stage Injection-Production Pipe Damage
The micro-cracks or micro-damages of the injection-production pipes will gradually develop into fa-tigue fracture damage,which brings great challenges to the safe operation of the gas storage.Based on this,taking the injection-production pipe as the object,a new damage identification index was formed by combining the improved grey correlation degree with the flexibility curvature difference.The natural frequency and mode shape of the injection-production pipe finite element model under the action of fluid-structure interaction were extracted to calculate the improved grey-related compliance curvature difference index(IGMFC)value for structural damage localization.Addi-tionally,the improved particle swarm optimization(IPSO)was used to optimize the extreme learning machine(ELM)to quantify the structural damage.The results show that the index IGMFC has good accuracy,sensitivity and noise re-sistance,and the error of the optimized extreme learning machine to quantify the damage degree is within 2%,and the error of the damage identification result is only 2.92%,which has certain application value.
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