Abstract: The concrete structure contains a large amount of gravel, aggregate and steel bars, which form a variety of acoustic interfaces. The signal components in the concrete structure are complex, and the ultrasonic energy is easily attenuated. In order to improve the detection resolution of concrete and the signal-to-noise ratio, a total focusing method (TFM) based ultrasonic array detection and imaging method for concretes is proposed. At first, the simulation study of the ultrasonic array detection of concrete is carried out by establishing a concrete finite element model, and in the simulation, the array probes are stimulated in the mode of “one stimulating and multi receiving” successively to get detection signals. Then, the full matrix capture data are obtained after convolution filtering, waveform envelope analysis and signal sharpening processing, so as to avoid errors caused by noise and phase. Finally, the full matrix capture data are processed for imaging according to the total focusing algorithm to display the model detection results. The simulation results show that the proposed imaging algorithm can achieve higher resolution and signal-to-noise ratio compared with the synthetic aperture focusing algorithm.