中文摘要：

摘要：以汽车用玻璃纤维增强聚丙烯（PP／GF）水箱支架为研究对象，在UG软件中建立其有限元模型，并进行结构静力学和疲劳分析；然后将分析结果导入到iSight软件中，以质量最轻和疲劳寿命最长为目标，设立水箱支架的3个结构变量，分析各变量对结果的灵敏度；最后基于遗传算法选择优化值，对优化后的水箱支架模型重新进行分析。分析结果表明，优化后的水箱支架在结构质量降低2．8kg的情况下，支架最大应力降低了0．7MPa，而相应疲劳寿命延长了7．3％。

英文摘要：

A finite element model for water tank supporter of vehicles was formulated, structural statics and fatigue analysis were performed. Introducing the results into iSight software, with the longest fatigue life and lightest quality as the targets, three structural variables were analyzed. Finally, selecting the optimal value based on genetic algorithms, re-analyzed optimized model. For the optimized water tank supporter, the weight decreased 2. 8 kg, the maximum stress decreased 0. 7 MPa, and the fatigue life increased 7.3%.