An dissipated energy based analysis of fatigue crack propagation law

Brittle Crack Propagation Based on an Optimal Energy Balance

Stochastic modeling of fatigue crack propagation

This paper presents a stochastic model of fatigue-induced crack propagation in metallic materials. The crack growth rate predicted by the model is guaranteed to be non-negative. The model structure is built upon the underlying principle of Karhunen±Lo eve expansion and does not require solutions of stochastic di€erential equations in either Wiener integral or Itô integral setting. As such this ...

Image-based identification procedure of a crack propagation law

A novel methodology to identify a fatigue crack propagation law is proposed. It is based on an optimization scheme that directly interrogates the images from the sought law rather than using a sequence of fitting schemes. Two procedures are presented and tested first on artificial data with a known law, and second on an actual image series obtained from a fatigue test performed on a thin titani...

Data-driven Fatigue Crack Evaluation based on Wave Propagation Data

8 This project presents a machine learning based fatigue crack sensor 9 evaluation scheme without using a physical model. A supervised binary 10 classification problem is defined to distinguish damaged steel specimens 11 from intact specimens. Sets of time-series wave propagation data collected 12 by the fatigue crack sensor are utilized for the proposed scheme. In order to 13 apply supervised ...

Fatigue Evaluation in Hot and Warm mix asphalts Based on Dissipated Energy

Warm mix asphalts (WMA), because of their low production and compact temperatures, may have different behaviors in long term. In the present work, the energy-based criteria along with the 50% reduction in initial stiffness (Nf50%) using four-point bending test under controlled-strain conditions of 1000 microstrain were applied to compare the prepared two warm mix and HMA samples. All these crit...