Additive manufacturing of industrially-relevant high-performance parts and products is today
a reality, especially for metal additive manufacturing technologies. The design complexity …

Demand for the construction of new structures is increasing all over the world. Since the
construction sector dominates the global carbon footprint, new construction methods are …

Fatigue life prediction is critical for ensuring the safe service and the structural integrity of
mechanical structures. Although data-driven approaches have been proven effective in …

Undoubtedly, a better understanding and the further development of approaches for
damage tolerant component design of AM parts are among the most significant challenges …

It is well-known that conventional multiaxial fatigue life prediction models are generally
limited to specific materials and loading conditions. To remove this limitation, a novel attempt …

Fatigue design of engineering structures is typically based on lifetime calculation using a
cumulative damage law. The linear damage rule by Miner is the universal standard for …

A novel deep learning approach is established in this work to directly model the highly
nonlinear mapping between the complex loading conditions (input) and the multiaxial …

A physics-informed neural network (PINN) is proposed for fatigue life prediction with small
amount of experimental data enhanced by physical models describing the fatigue behavior …

While research on lightweight materials has been carried out for decades, it has become
intensified with recent climate action initiatives leading pathways to net zero. Aluminum …

The research on life prediction for mechanical structures in very high cycle fatigue regime is
pivotal to improve structure service, but it can be costly and time-consuming to collect fatigue …