Array optimization and noise reduction algorithm for ultrasonic phased array tunnel grouting detection
In order to quickly and accurately detect the grouting quality of shield tunnels,an ultrasonic phased array detection method is proposed.The particle swarm optimization based on genetic algorithm(GA-PSO)is improved to optimize the transducer deployment,and the GA-VMD-SG integrated algorithm is proposed for noise reduction of ultrasonic signals,while the process of ultrasonic phased array detection of grouting quality is numerically simulated,and the two algorithms and defect echoes are combined to verify the detection effect.The results show that the maximum partials of ultrasonic phased array 32 and 128 arrays optimized by GA-PSO algorithm are-40.96 dB and-48.22 dB,respectively,which can maintain better acoustic performance with reduced transducer cost and imaging data volume;the RSN value of optimized ultrasonic echo by GA-VMD-SG algorithm is 16.6774 and RMSE value is 0.1943,with a good noise reduction effect;the echo analysis of numerical simulation data can effectively check the grouting defects,which verifies that the ultrasonic phased array detection of tunnel grouting based on array optimization and noise reduction algorithm is feasible and effective.
万方数据
维普
