Influence and Mechanism of Welding Residual Stress of 16MnR with Machine Learning

A State‐of‐Art Review on Prediction Model for Fatigue Performance of Welded Joints via Data‐Driven Method

“…Therefore, the effective processing of the fatigue performance database is the first task to realize accurate prediction. As shown in Figure 4 and Table 1, there are several approaches to establish a reliable fatigue performance database, which can be divided into three main categories: independent (experiment and simulation), [1,4,5,9,29, literature based, [13,[75][76][77][78][79][80][81][82][83][84][85] and data augmentation based. [86][87][88][89][90][91][92][93][94] Even an efficient data-driven method cannot construct an effective model via an insufficient database; thus, the establishment of a high-quality database is quite important.…”

“…As introduced in Section 3.1., different IFs had various effects on fatigue performance; thus, the neglect of IFs reduces the accuracy of the prediction model. [4,10,110] Therefore, in order to improve the accuracy of fatigue life prediction of welded joints, more IFs should be considered to fully reflect the relationship between fatigue performance and IFs. [111,112] Therefore, the polynomial regression and time series models were integrated to quantify the relationship between the total IFs and fatigue properties.…”

“…[111,112] Therefore, the polynomial regression and time series models were integrated to quantify the relationship between the total IFs and fatigue properties. [113] Several studies [4][5][6][7]23,114] are conducted to better describe the fatigue behavior. According to the previous literature, [10,23,39,115,116] the discontinuity of weld geometry was the most important factor influencing the fatigue performance of welded joints, and the tensile residual stress was considered Figure 9.…”

“…[1][2][3] As shown in Figure 1, fatigue performance is affected by several factors (material type, service environment, temperature, stress range, residual stress, weld defects, weld geometry, plate thickness, stress ratio, welding method, joint type, loading type, etc.). [4][5][6][7][8][9][10][11][12][13][14][15][16][17] In addition, the mechanism of fatigue fracture contains a large number of nonlinear relationships and the influencing factors (IFs) that are difficult to describe quantitatively. Additionally, welding is one of the most commonly used connection methods in engineering, and the fatigue fracture generally originates from welded joints.…”