Adhesively bonded joint has gained increasing popularity due to weight reduction and relief of stress concentration. However, damage in the mode of adhesive failure and cohesive failure, as well as the adherend failure, could still occur, and it has been realized that the reliability of the adhesively bonded joint depends on numerous complex and even nonlinearly interacting factors. Consequently, the prediction of load-bearing capacity and damage localization for an adhesively bonded joint can be difficult due to the not well-known effects of the variations or uncertainties in the imperfected adhesive-adherent bonding surfaces or the environmental conditions as well as the material and geometrical nonlinearities. Although abundant uncertainties are present, the standard analysis tool in industries is still deterministic finite element analysis (FEA). The routine practice of such analysis is applying a cohesive zone model (CZM) implemented with a proper traction-separation law to predict the onset and gradual degradation of adhesion which may underpredict or overpredict the load-bearing capacity of an adhesively bonded joint. In this study, deterministic FEA with a CZM is first applied to predict the load-displacement curve of an adhesively bonded polyurethane-to-steel double butt joint. A comparison of the prediction with the experiment reveals the inability of a deterministic approach for accurately predicting the load-bearing capability of the joint and the failure propagation route. Then, uncertainty analysis using polynomial chaos expansion (PCE) is applied to examine if it can enhance the prediction of the joint failure. The results show the predictions generated by the uncertainty analysis correlate better than the deterministic analysis with the test data, hence demonstrating the potential of uncertainty analysis in improving the prediction of the failure mode and load-bearing capability of an adhesively bonded polyurethane-to-steel double butt joint.

中文翻译：

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用不确定度分析预测聚氨酯与钢的双对接粘接失效

由于减轻重量和减轻应力集中，胶接接头已越来越受欢迎。然而，仍然可能发生以粘合破坏和内聚破坏以及被粘物破坏的方式的损坏，并且已经认识到，粘合接头的可靠性取决于许多复杂的甚至是非线性相互作用的因素。因此，由于不完善的粘合剂-粘附的粘合表面或环境条件以及材料的变化或不确定性的影响尚不清楚，因此很难预测粘合剂的接合点的承载能力和损伤的位置。和几何非线性。尽管存在大量不确定性，行业中的标准分析工具仍是确定性有限元分析（FEA）。此类分析的常规做法是应用内聚区模型（CZM），并采用适当的牵引力-分离定律来预测粘合的开始和逐渐退化，这可能会低估或高估粘合接头的承载能力。在这项研究中，首先将具有CZM的确定性FEA应用于预测聚氨酯与钢之间的双对接粘结载荷-位移曲线。通过将预测结果与实验结果进行比较，发现无法使用确定性方法来准确预测接头和破坏传播路径的承载能力。然后，应用多项式混沌扩展（PCE）进行不确定性分析，以检查其是否可以增强对关节破坏的预测。结果表明，不确定性分析所产生的预测与确定性分析相比，与测试数据的相关性更好，因此证明了不确定性分析在改善聚氨酯-钢间粘合模式的破坏模式和承载能力的预测方面的潜力双对接。