Data-driven models based on deep learning have led to tremendous breakthroughs in
classical computer vision tasks and have recently made their way into natural sciences …

The occurrence of fatigue cracks is an inherent part of the design of engineering structures
subjected to nonconstant loads. Thus, the accurate description of cracks in terms of location …

The fatigue indicator parameter (FIP) is evaluated with cyclic J-integral in single crystal and
polycrystal models as the crack driving force for microstructurally fatigue crack growth. A …

The paper systematically investigates the fatigue crack growth (FCG) behavior of Q345 steel
under a single tensile overload during constant amplitude cyclic loadings by combining the …

Background Digital image correlation (DIC) with microscopes has become an important
experimental tool in fracture mechanics to study local effects such as the plastic zone, crack …

An energy equation for fatigue crack growth was proposed. It equates the total external work
per cycle (dW/dN) to the sum of plastic dissipation (dU pl/dN), change in strain energy stored …

The elastic-plastic J-integral is adopted to correlate fatigue crack growth data of ductile
metals. An analytical link is known to exist between the J-integral and the strain energy …

Today's societal challenges require rapid response and smart materials solutions in almost
all technical areas. Driven by these needs, data-driven research has emerged as an enabler …

A new parameter called crack opening ratio (COR) is proposed to evaluate the fatigue crack
closure. COR is expressed as a percentage that can be devoted to identifying the degree of …

The heat energy exchanged in a unit volume of material per cycle, Q¯, has been previously
proposed and adopted by the authors as a fatigue damage indicator, because it accounts for …