Machine Vision Based Evaluation Method for Bridge Pavement Damage Rate
A machine vision based evaluation method for bridge pavement damage rate is proposed to address the issue of difficulty in accurately assessing bridge pavement damage rate.Digital images of bridge pavement were collected using machine vision,and the images were converted and adjusted to determine the type of damage to the cement concrete pavement of the bridge and identify the pavement damage;Calculate the vertical elastic sup-port stiffness and lateral impact support stiffness of the bridge pavement,and construct a calculation model for the distribution of impact rolling loads;On the basis of analyzing the level of bridge pavement damage,the dam-age rate of bridge pavement was evaluated.The experimental results show that the method proposed in the article can improve the evaluation accuracy to over 85%when evaluating structural and functional damage to bridge pavement,providing new ideas for maintenance strategies for bridge pavement damage.
machine visiondamagepavementgraded evaluationload distribution
万方数据
维普
