Abstract Machine learning (ML) has powerful nonlinear processing and multivariate capabilities, so it been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models that difficult to apply engineering practice. Symbolic regression (SR) is an interpretable machine method for determining optimal fitting equation datasets. In this study, domain knowledge-guid...

Although it is well known that Al-Zn-Mg-Cu alloys are susceptible to intergranular environment-assisted cracking (EAC) in some temper conditions, the relative contribution of hydrogen embrittlement (HE) and anodic dissolution (AD) to the crack advance process remains uncertain. This work reports the results of combining experimental and modeling data of crack potentials to help elucidate the ro...

Abstract The present study focused on two dissimilar metal alloys: AA7075-T651 and Ti-6Al-4V alloys with additional carbon fiber-reinforced polymer (CFRP) as an interlayer were welded together by friction stir spot welding (FSSW). effect of parameters (rotational speed dwell time) mechanical microstructural properties a weld joint was investigated. obtained results explore the parametric effect...