为研究船舶柴油机曲轴的疲劳寿命，建立有限元模型后施加动态交变载荷并进行等效应力和疲劳寿命分析。根据分析得到的曲轴疲劳寿命薄弱区进行结构参数优化，将曲轴结构参数为设计变量，用拉丁超立方采样方法形成样本点，构建其Kriging代理响应面模型，将等效应力、变形和疲劳寿命为响应进行多目标优化。根据优化结果重建船舶曲轴模型，再次进行应力和疲劳寿命分析。优化分析结果表明，优化后的曲轴应力集中处明显减小，最大应力减小了12%且分布更加均匀，疲劳寿命显著提升，有效地提升曲轴的抗疲劳特性。该分析方法为船舶曲轴系统的疲劳寿命分析和优化提供了理论依据。
To investigate the fatigue life of a marine diesel engine crankshaft, a finite element model was established, dynamic alternating loads were applied, and equivalent stress and fatigue life analyses were conducted. Based on the identified weak areas, structural parameter optimization was performed by defining the crankshaft’s geometric parameters as design variables. Sample points were generated via Latin Hypercube Sampling, and a Kriging surrogate model was constructed with equivalent stress, deformation, and fatigue life as responses for multi-objective optimization. The optimized crankshaft model showed a 12% reduction in maximum stress with more uniform distribution.While the fatigue life was significantly improved, enhancing its anti-fatigue performance. The analytical method provides a theoretical basis for fatigue life analysis and optimization of marine crankshaft systems.
2026,48(5): 64-69 收稿日期：2025-5-30
DOI：10.3404/j.issn.1672-7649.2026.05.010
分类号：U664.121
基金项目：南通市科技计划指导性项目（JCZ2024011）；江苏高校“青蓝工程”资助（苏教师函 [2025]4号）；国家自然科学基金项目（51805077）；江苏航运职业技术学院高层次人才科研启动基金项目（HYRC/202402）
作者简介：黄志龙(1986-),男,博士,副教授,研究方向为船舶振动与噪声控制等
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