Identification of damage degree of concrete could be realized by artificial neural network technology combined with acoustic emission（AE） signals associated with concrete damage process.First, neural network model was established, and AE signals accompanied by concrete damage were collected under standard operating conditions. AE signals were divided into three kinds according to the loading curves of three different damage stages of concrete（slight damage stage, moderate damage stage and serious damage stage）. The three kinds of AE signals were inputted into the neural network for training as the standard condition data. Concrete damage degree recognition system was established. Finally, AE signals collected by the same condition to be identified were inputted into the recognition system, identification of damage degree of concrete can be realized according to the AE signals. The experimental results show that the accuracy reaches over 90%.