Gravity dam apparent crack dangerousness prediction method and system

The invention discloses a gravity dam apparent crack dangerousness prediction method and system. Actually-measured first 3-5-order frequencies and modes containing an apparent crack gravity dam structure are obtained; and the actually-measured first 3-5-order frequencies and modes containing the apparent crack gravity dam structure are input to a pre-built crack information prediction model basedon machine learning, and crack depths and direction angles are determined. The method and system have the advantages that through a site test, the penetration depth and the direction in a gravity damapparent crack can be accurately predicted, according to a prediction result, whether the crack threatens the whole safety of the gravity dam can be evaluated, the reinforcing maintaining measure canbe taken in time conveniently, and the safety hidden danger of the gravity dam structure can be removed. 本发明公开了一种重力坝表观裂缝危险性预测方法及系统，获取实测的含表观裂缝重力坝结构的前3~5阶频率和模态；将实测的含表观裂缝重力坝结构的前3~5阶频率和模态输入至预先构建的基于机器学习的裂缝信息预测模型中，确定裂缝深度和方向角。优点：本发明通过