Unexpected high-pressure fuel injection pipe failure under operational conditions is a crucial topic in the automotive industry. In this study, experimental modal test results as well as finite element analysis (FEA) of the fuel pipe due to the vibrational motion of an engine were reported. The standard tensile tests of actual samples were carried out to determine the mechanical properties of the material used in FE model. The experimental natural frequencies of fuel pipes were found in a good agreement with the numerical results obtained from the FE simulations in ABAQUS/Standard. The effect of the fuel and added mass (due to other equipment on the pipe response) on the frequency response was also discussed. Furthermore, an optimization procedure in conjunction with MATLAB, CATIA, and ABAQUS was developed using modeFRONTIER software to improve the performance of the fuel pipes via a Non-dominated Sorting Genetic Algorithm (NSGA-II). The first natural frequencies and maximum Von Mises stress were chosen to be the objective functions, and the spatial configuration of the pipe profile was considered as decision variables. The numerical results obtained from a series of case studies confirm the efficiency and accuracy of the proposed method in dealing with structural design optimization problems.

在操作条件下发生意外的高压燃油喷射管故障是汽车行业的一个关键主题。在这项研究中，实验模态测试结果以及由于发动机振动引起的燃油管有限元分析得到了报道。进行了实际样品的标准拉伸试验，以确定在有限元模型中使用的材料的机械性能。发现燃料管的实验固有频率与从ABAQUS / Standard中的有限元模拟获得的数值结果非常吻合。还讨论了燃料和附加质量（由于其他设备对管道响应的影响）对频率响应的影响。此外，结合了MATLAB，CATIA，ABAQUS是使用modeFRONTIER软件开发的，旨在通过非支配排序遗传算法（NSGA-II）来改善燃油管的性能。选择第一个固有频率和最大冯·米塞斯应力作为目标函数，并将管道轮廓的空间配置作为决策变量。通过一系列案例研究获得的数值结果证实了该方法在处理结构设计优化问题时的效率和准确性。