Fatigue failure prediction of elastomeric materials plays a crucial role in engineering applications, e.g., rolling tires. Experimental investigations, as straightforward evaluation fatigue failure, do not enable an efficient insight due to significant time consumption. Therefore, several numerical approaches are developed model fracture or damage behavior material components subjected cyclic l...

Structural Health Monitoring System for Deepwater Risers with Vortex-induced Vibration: Nonlinear Modeling, Blind Identification Fatigue/Damage Estimation and Local Monitoring using Magnetic Flux Leakage

Percutaneous heart valve replacement is currently limited to the replacement of pulmonary and aortic valves in a targeted group of patients. Designing a heart valve for mitral valve replacement is further limited by its distinctive anatomical feature, which places a constraint on its range of design options. To overcome such limitations, the objectives of this study were to use computational mo...

Artificial Neural Networks (ANN) have recently been used in modeling the mechanical behavior of fiber-reinforced composite materials. The use of ANN in predicting fatigue failure in composites would be of great value if one could predict the failure of materials other than those used for training the network. This would allow developers of new materials to estimate in advance the fatigue proper...

By applying the behavioral theory of Lewinsohn et al. [1985. An integrative theory of depression. In: S. Reiss, & R. R. Bootzin (Eds.), Theoretical issues in behavior therapy (pp. 331-359). San Diego, CA: Academic Press.] to multiple sclerosis (MS), it was hypothesized that physical disability, fatigue, and psychosocial dysfunction would be significantly predictive of depressed mood in MS patie...