Welded structures are integral to complex bodies such as ships and offshore rigs. Welded joints are frequently used in connecting various plates and substructures, making their assessment pivotal. The numerical model used here consists of plates coupled using springs and dashpots. The coupling models the welded joint and exemplifies the uncertainties in the welding process. The joint identification algorithm systematically defines the coupling in two steps: first, by updating the model for spring stiffness and later, by identifying the dashpot coefficients. The dynamic characteristic is determined using a frequency response function (FRF). After model updating and damping identification, a comparison between the updated FRF and that obtained from the experimental modal test is carried out to ascertain the efficiency of the algorithm. Further, the test structure is subjected to experimental testing to correlate the results from the model updating with material properties. The experimental study includes tensile testing of the weld joints and microstructural analysis. The characterisation is carried out by partitioning the welded joint. The joint stiffness and damping are correlated to the stress–strain response and crystallographic texture of the welded plate.

中文翻译：

---

基于模型更新和纹理分析的焊接接头刚度和阻尼表征


焊接结构是船舶和海上钻井平台等复杂主体的组成部分。焊接接头经常用于连接各种板材和下部结构，因此对其评估至关重要。这里使用的数值模型由使用弹簧和缓冲器耦合的板组成。该耦合对焊接接头进行建模，并举例说明了焊接过程中的不确定性。关节识别算法分两个步骤系统地定义耦合：首先，更新弹簧刚度模型，然后识别阻尼系数。动态特性是使用频率响应函数（FRF）确定的。在模型更新和阻尼识别之后，将更新后的频响函数与实验模态测试获得的频响函数进行比较，以确定算法的效率。此外，对测试结构进行实验测试，将模型更新的结果与材料特性相关联。实验研究包括焊接接头的拉伸测试和微观结构分析。通过划分焊接接头来进行表征。接头刚度和阻尼与焊接板的应力应变响应和晶体织构相关。