根据船舶运动数据实时估测船体波浪载荷

Real-Time Estimation of Wave-Induced Ship Hull Bending Moment

论述了一种时域估测方法 ,采用人工神经网络技术建立了垂向波浪载荷与纵摇、升沉运动的时域关系模型 .将上述方法获得的载荷估测值和应变法测量值进行比较验证 ,可以确保船舶响应监测系统 (HRMS)的有效运作 .船模实验验证了该方法的有效性 .

A description was given to a time-domain technique for real-time estimation of wave-induced vertical bending moment from ship motion measurements. The estimated values can be compared with those obtained from the strain gauge readings to ensure the validity of hull response monitoring systems. Artificial neural networks were used to model the time-domain relationship between wave-induced vertical bending moment and coupled heave and pitch motions. The proposed technique is validated using a set of experimental data.