The wide range of rivets usage goes back to the processes of manufacturing and repairing an aircraft fuselage. When it comes to structural joints, adhesive bonding is said to have some merits which overshadow other joining methods, such as bolting, riveting, and welding. Today, the applications of structural adhesives do not end in aerospace, but they also are ideal for the automotive industry, where the need is to join plates of dissimilar adhesives to produce lightweight car bodies. The hybrid joints also are one of the methods of joining different parts of the machine in a durable way in which some benefits such as the significant tensile strength, the dissipated energy, and higher reliability during long-term working stand out. In this research, the effect of rivets layout on strength and failure of nanocomposite rivet and hybrid adhesive-rivet joints through two experimental and numerical methods was evaluated. Also, using the artificial neural networks method, force–displacement curves for specimens were obtained. The results of the experimental tests and the finite element analysis showed that as the number of rivets increased in the joint of the nanocomposite components, the strength of the joint increased. The layout of the rivets has a significant effect on the strength of the rivet joint. According to the performed experiments for achieving the efficient strength in the hybrid joints for the nanocomposite plates, since the strength of the adhesive is very effective, adhesive selection and the appropriate number of rivets are the key factors. The fracture modes in the internal plates of nanocomposite joints (adhesive, rivet, and adhesive-rivet joints) were observed as follows: net-tension, bearing, shear-out, crack propagation, tearing, and shear in adhesive layers. Besides, the numerical model of the work is done using ABAQUS software. The results of software simulation in the numerical model are compatible with the experimental method’s findings. However, the agreement between the results of experimental and neural network methods is higher. Owing to the results of experiments, the polypropylene nanocomposite as well as the appropriate jointing method can be put forward in the structures of the automotive industry.

铆钉的广泛使用可以追溯到飞机机身的制造和维修过程。说到结构接头，据说粘合剂粘合具有一些优于其他连接方法（例如螺栓连接、铆接和焊接）的优点。今天，结构粘合剂的应用不仅限于航空航天，而且它们也是汽车行业的理想选择，汽车行业需要将不同的粘合剂板连接起来以生产轻量化车身。混合接头也是以耐用的方式连接机器不同部件的方法之一，其中一些优点如显着的抗拉强度、耗散能量和长期工作期间的更高可靠性等突出。在这项研究中，通过两种实验和数值方法评估了铆钉布局对纳米复合铆钉和混合粘合剂铆钉接头强度和失效的影响。此外，使用人工神经网络方法，获得了试样的力-位移曲线。实验测试和有限元分析结果表明，随着纳米复合材料部件接头中铆钉数量的增加，接头的强度增加。铆钉的布置对铆钉接头的强度有显着影响。根据为实现纳米复合板混合接头的有效强度而进行的实验，由于粘合剂的强度非常有效，因此粘合剂的选择和适当的铆钉数量是关键因素。观察纳米复合材料接头（粘合剂、铆钉和粘合剂-铆钉接头）内板的断裂模式如下：净张力、轴承、剪切、裂纹扩展、撕裂和粘合剂层中的剪切。此外，工作的数值模型是使用ABAQUS软件完成的。数值模型中的软件模拟结果与实验方法的结果一致。然而，实验和神经网络方法的结果之间的一致性更高。由于实验结果，聚丙烯纳米复合材料以及合适的连接方法可以在汽车工业的结构中提出。和剪切粘合剂层。此外，工作的数值模型是使用ABAQUS软件完成的。数值模型中软件模拟的结果与实验方法的结果相一致。然而，实验和神经网络方法的结果之间的一致性更高。由于实验结果，聚丙烯纳米复合材料以及合适的连接方法可以在汽车工业的结构中提出。和剪切粘合剂层。此外，工作的数值模型是使用ABAQUS软件完成的。数值模型中软件模拟的结果与实验方法的结果相一致。然而，实验和神经网络方法的结果之间的一致性更高。由于实验结果，聚丙烯纳米复合材料以及合适的连接方法可以在汽车工业的结构中提出。