Computational intelligence methods for the fatigue life modeling of composite materials

Pages: 349 - 383
Published: Jan 1, 2020
Abstract
Novel computational methods such as artificial neural networks, adaptive neuro-fuzzy inference systems and genetic programming are used in this chapter for the modeling of the nonlinear behavior of composite laminates subjected to constant amplitude loading. The examined computational methods are stochastic nonlinear regression tools, and can therefore be used to model the fatigue behavior of any material, provided that sufficient data are...
Paper Details
Title
Computational intelligence methods for the fatigue life modeling of composite materials
Published Date
Jan 1, 2020
Pages
349 - 383
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