Study On Anchorage Force Prediction Of The Cfrp-bamboo Bolt Based On Artificial Neural Network

Because of the advantages of convenient materials, mechanics of excellent performance, apparent consolidation effect and so on, the CFRP-bamboo bolt has been widely used in the protection of soil sites.Anchor force is one of the most important performance parameters of the anchor rod . In the paper , based on the existing engineering examples, the artificial neural network and the BP model is applied to forecast and analysis the anchor force of CFRP-bamboo bolt. In order to make full use of these characteristics of the artificial neural network which is self-learning, adaptive, self-organization and nonlinear kinetics characteristics and multi-factor analysis, the paper establishes a smart forecast model the CFRP-bamboo bolt.The paper introduces the development of the anchorage technique applying in the geotechnical engineering, and the application of CFRP-bamboo bolt in the Soil site protection. In addition, the paper analyses the influence factors of the anchorage force of the CFRP-bamboo bolt and the early experimental study on that, and introduces the topology structure, learning algorithm of BP model. In order to check the applicability and feasibility of the BP model applied to predict the anchorage force of the CFRP-bamboo bolt, the paper prepares the calculating program of the model based on the toolbox of MATLAB ANN, which provides a new intelligent method for the prediction of the anchorage force of the CFRP-bamboo bolt. By learning 15 groups of samples, we conclude that the average relative error between the predicted value and the actual value is 4.02%. Based on the calculation results, the paper analyses the sensitivity of the factors influenced on the anchorage force of the CFRP-bamboo bolt by using L25(56)orthogonal table. Based on the analysis, the conclusion is that he sensitivity of the factors influenced on the anchorage force are bolt diameter, grouting body intensity, bolt length, aperture, angle of inclination and carbon fiber wrapped spacing,which provides reference for the similar reinforcement engineering practical application.