Study on the Shear Behavior of Recycled Concrete Beams
The prediction models of recycled concrete beam shear capacity are established based on decision tree and random forest machine learning algorithms.By inputting a large number of random mix proportions into the shear bearing capacity prediction model of recycled concrete beams,the optimal range of mix proportion factors is determined to obtain the maximum shear bearing capacity.The results show that the prediction accuracy of the random forest algorithm for the shear capacity of recycled concrete beams is better than that of the decision tree algorithm.The root mean square error of the random forest algorithm model is 0.338,the mean absolute error is 0.253,the mean absolute percentage error is 11.57,and the coefficient of determination is 0.913;In order to obtain the maximum shear bearing capacity,the optimal recycled coarse aggregate replacement ratio of recycled concrete beams is 50％,the optimal transverse reinforcement ratio is 0.2％,the optimal longitudinal reinforcement ratio is 2.5％,the optimal shear span ratio is 0.8～1.1,and the optimal concrete compressive strength is 55 MPa.
万方数据
维普
