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重大件货物海上运输的惯性加速度理论计算与规范修正

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在船上载运重大件货物时,需充分考虑船舶可能遭受的最严重的气象条件和最恶劣的海浪状况.通过建立样本船型数据库,采用区域分割法和谱分析法求解得到规则波中不同浪向角和不同航速下的频率响应函数、不规则波中不同海况下的垂向、横向和纵向加速度有义值;通过多元线性回归方法对垂向、横向和纵向加速度进行回归分析,同时利用逐步线性回归方法将惯性加速度经验修正公式中的纵摇、横摇运动简化为船舶基本参数和环境参数的表达式,从而拓宽了IMO CSS规则的使用范围.在系统梳理规范的基础上提出惯性加速度规范修正公式,该公式考虑了不同海况与船舶参数的综合影响,与经验公式相比,更灵活准确.该研究可为重大件货物海上运输系固校核提供参考.
Theoretical Calculation and Normative Revision of Inertial Acceleration in the Maritime Transportation of Heavy Goods
When carrying heavy goods on board a ship,it is necessary to fully consider the most severe meteorological conditions and the worst wave conditions that the ship may encounter.This paper establishes a sample ship type database and uses region segmentation and spectral analysis methods to solve the frequency response functions under different wave angles and speeds in regular waves,as well as the meaningful values of vertical,lateral,and longitudinal accelerations under different sea conditions in irregular waves.Regression analysis was conducted on vertical,lateral,and longitudinal accelerations using multiple linear regression methods.At the same time,the stepwise linear regression method was used to simplify the pitch and roll motion in the empirical correction formula for inertial acceleration into expressions for ship basic parameters and environmental parameters,thereby expanding the scope of use of IMO CSS rules.On the basis of systematic standardization,a correction formula for inertial acceleration specifications is proposed,which takes into account the comprehensive influence of different sea conditions and ship parameters.Compared with empirical formulas,this formula is more flexible and accurate.This study can provide reference for the verification of sea transportation systems for heavy goods.

heavy goodsinertial accelerationspectral analysisship type transformationregression analysis

陈实、齐博、朱永飞、王春波、杨红莹、冀卫东、张岩

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中海油能源发展股份有限公司清洁能源分公司,天津 300450

江苏金风科技有限公司,江苏盐城 224100

重大件货物 惯性加速度 谱分析法 船型变换 回归分析

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(6)
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