物理压力下船体外侧抗压能力的非线性建模

Research on nonlinear modeling of external compressive capacity of ship hull under physical pressure

物理压力下船体外侧抗压能力具有比较强的非线性变化特点,而当前物理压力下船体外侧抗压能力估计方法没有考虑该特点,使得估计误差大,为了提高物理压力下船体外侧抗压能力估计结果,设计一种物理压力下船体外侧抗压能力估计的非线性建模方法。首先收集物理压力下船体外侧抗压能力的历史样本数据,并采用灰色模型对物理压力下船体外侧抗压能力进行估计,然后采用神经网络对物理压力下船体外侧抗压能力进行估计,并通过加权对灰色模型和神经网络的物理压力下船体外侧抗压能力估计结果进行组合,最后进行物理压力下船体外侧抗压能力估计效果的验证性测试,结果表明,相对于其他方法,本文方法能够更加准确描述物理压力下船体外侧抗压能力的非线性变化特点,提高了物理压力下船体外侧抗压能力估计精度,具有一定的实际应用价值。

The lateral compressive capacity of ship hull under physical pressure has strong non-linear variation characteristics.However,the prediction model of lateral compressive capacity of ship hull under physical pressure has not considered this point,which makes the prediction error large.In order to improve the prediction result of lateral compressive capacity of ship hull under physical pressure,a non-linear model for predicting lateral compressive capacity of ship hull under physical pressure is designed.Firstly,historical sample data of hull lateral compressive capacity under physical pressure are collected,and grey model is used to predict hull lateral compressive capacity under physical pressure,then neural network is used to predict hull lateral compressive capacity under physical pressure,and the prediction results of hull lateral compressive capacity under physical pressure are combined by weighted grey model and neural network.Finally,the validation test of the prediction effect of ship hull lateral compressive capacity under physical pressure is carried out.The results show that compared with other methods,this method can more accurately describe the non-linear variation characteristics of ship hull lateral compressive capacity under physical pressure,improve the prediction accuracy of ship hull lateral compressive capacity under physical pressure,and has certain practical application value.