Probabilistic Modeling of Fatigue Damage Accumulation for Reliability Prediction

Inverse first-order reliability method for probabilistic fatigue life prediction of composite laminates under multiaxial loading

Inverse first-order reliability method for probabilistic fatigue life prediction of composite laminates under multiaxial loading Yibing Xiang and Yongming Liu* Department of Civil and Environmental Engineering Clarkson University Potsdam NY.13699, USA Abstract: Multiaxial fatigue reliability is a challenging problem despite extensive progress made during the past few decades. Anisotropic materi...

A Modified Nonlinear Damage Accumulation Model for Fatigue Life Prediction Considering Load Interaction Effects

Many structures are subjected to variable amplitude loading in engineering practice. The foundation of fatigue life prediction under variable amplitude loading is how to deal with the fatigue damage accumulation. A nonlinear fatigue damage accumulation model to consider the effects of load sequences was proposed in earlier literature, but the model cannot consider the load interaction effects, ...

Model of flexural fatigue damage accumulation for cortical bone.

Analytical models that predict modulus degradation in cortical bone subjected to uniaxial fatigue loading in tension and compression are presented. On the basis of experimental observations, damage was modeled as self-limiting for tension but not for compression. These mechanistic uniaxial damage models were then developed into a model for flexural fatigue of cortical bone based on laminated be...

Probabilistic Modeling and Optimization for Circuit Reliability

Efficient probabilistic methods for real-time fatigue damage prognosis

A general probabilistic fatigue crack growth prediction methodology for accurate and efficient damage prognosis is proposed in this paper. This methodology consists two major parts. First, the realistic random loading is transformed to an equivalent constant amplitude loading process based on a recently developed mechanism model. This transformation avoids the cycle-by-cycle calculation of fati...