Incorporating Weld Residual Stress Effects into Fatigue Life Predictions using the Battelle Structural Stress Method

Hong, J. K.; Cox, Andrew

doi:10.4271/2018-01-1212

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…Use equivalent structural stress to evaluate the stress at welded joint, the equation of equivalent structural stress is 34

\begin{equation}{\sigma _{ess}} = \frac{{{\sigma _s}}}{{{t_{ess}}^{\frac{{2 - mss}}{{mss}}}{I^{\frac{1}{{mss}}}}{f_M}}}\end{equation}

…”

Section: Reliability Prediction Under Bench Test Conditionmentioning

confidence: 99%

“…In the reasonable welding structure, the fracture appears at the welding toe. Master S‐N curves' parameters of the welded joint in steel are listed in Table 3 34 . Some Master S‐N curves of the welded joint are shown in Figure 11.…”

Section: Reliability Prediction Under Bench Test Conditionmentioning

confidence: 99%

“…This is because manufacturing error, loading error, and other factors are not considered in the modeling. In addition, the Master S‐N curve adopted is the result of safety bias obtained through a large number of data, 34 and there is an inevitable error with the actual situation of the analyzed axle housing.…”

Section: Reliability Prediction Under Bench Test Conditionmentioning

confidence: 99%

“…Master S-N curves' parameters of the welded joint in steel are listed in Table 3. 34 Some Master S-N curves of the welded joint are shown in Figure 11.…”

Section: Axle Housing Structure and Bench Testmentioning

confidence: 99%

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Research on fatigue reliability prediction model and structural improvement of welded drive axle housing based on master S‐N Curve method

Tan

Wang

Xie

et al. 2022

Quality & Reliability Eng

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Fatigue reliability prediction of welded structures is mainly based on nominal stress or hot spot stress method, but there are some problems such as grid sensitivity and joint geometry dependence. The Master S-N curve method can solve these problems well, but the corresponding reliability model needs to be studied. In this paper, the fatigue reliability model of welded structures based on the Master S-N curve method is studied. Considering the randomness of life and the correlation of failure, a reliability model is proposed, which reduces the computational burden by establishing a median damage-random threshold rule. Taking the welded drive axle housing as an object, the system reliability is analyzed under the bench test condition, and verified by the experimental data. After the verification, this method is used to predict the reliability of the axle housing under variable amplitude loading collected in the test field, and the results are verified by Monte Carlo (MC) method. When the P-S-N curves are parallel, the model is accurate, which is the characteristic of the Master S-N curve method. This method only needs to input the median damage value of the weak part, which is easy to be applied. This method can speed up the reliability prediction cycle of welded structures, which is beneficial to product innovation and optimal design. Finally, an improved design scheme is proposed for the weak parts of welding, and the effects of welding leg width, welding depth, and closed weld on fatigue life are revealed.

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“…Use equivalent structural stress to evaluate the stress at welded joint, the equation of equivalent structural stress is 34

\begin{equation}{\sigma _{ess}} = \frac{{{\sigma _s}}}{{{t_{ess}}^{\frac{{2 - mss}}{{mss}}}{I^{\frac{1}{{mss}}}}{f_M}}}\end{equation}

…”

Section: Reliability Prediction Under Bench Test Conditionmentioning

confidence: 99%

Section: Reliability Prediction Under Bench Test Conditionmentioning

confidence: 99%

Section: Reliability Prediction Under Bench Test Conditionmentioning

confidence: 99%

“…Master S-N curves' parameters of the welded joint in steel are listed in Table 3. 34 Some Master S-N curves of the welded joint are shown in Figure 11.…”

Section: Axle Housing Structure and Bench Testmentioning

confidence: 99%

See 2 more Smart Citations