ANCHORAGE FORCE PREDICTION FOR THE CFRP-BAMBOO BOLT BASED ON ARTIFICIAL NEURAL NETWORK

To protect against the destruction of cultural relics, the artificial neural network and the toolbox of MATLAB artificial neural network (ANN) are applied to set up an intelligent model of the anchoring force prediction with consideration of the bolt diameter, the bolt length, the angle of inclination, the grouting body intensity, the aperture and the carbon fiber wrapped spacing, based on the in-situ test of the anchorage force of the CFRP (carbon fibre reinforced plastics)-bamboo bolt used in the protection of a certain earth site in Xinjiang. And by learning the samples from the in-situ test, the applicability and the feasibility of the method are checked. Based on the calculation results, the sensitivity of influencing factors on the anchorage force of the CFRP-bamboo bolt is analyzed by using L₂₅(5⁶) orthogonal table, which may provide a reference for similar reinforcement engineering practical applications.