Fatigue monitoring for composite materials

摘要

Fatigue failure in composite materials can be successfully modeled and predicted by monitoring irreversible gains in entropy. Permanent degradations in composites are marked by irreversible processes that are characterized by increases in entropy. By measuring changes in entropy, one can model and predict the deterioration and failure of composites. The technique may be used to predict the deterioration and failure of composites under essentially any type of loading—constant, variable, bending, torsion, tension, compression, or other.

主权项

1. A method for preventing mechanical failure of a composite material, wherein the composite material is solid-state and inhomogeneous; wherein the composite material is subject to cyclic loading; and wherein said method comprises the following steps:
(a) measuring the temperature of the surface of the composite material, in the vicinity of a location of incipient mechanical failure, using a temperature sensor; (b) approximating the accumulated volumetric entropy production γ in the vicinity of the location of incipient mechanical failure of the composite material, using a processor to approximate the numerical value of γ, using a relationship that is equivalent to:γ=∫0t′⁢(wT+edT)⁢ⅆt  wherein t denotes the time, t′ denotes the particular time for which γ is being determined, T denotes the temperature of the surface of the composite material in the vicinity of the location of incipient mechanical failure, w denotes the rate of volumetric work of permanent deformation for the composite material, and ed denotes the damage energy; (c) predicting mechanical failure of the composite material when a processor determines that γ is approaching the value of γf, or is approaching a user-specified fraction of the value of γf, wherein γf denotes the mean volumetric fracture fatigue entropy for the composite material; and (d) stopping the cyclic loading of the composite material, using a controller, when γ approaches the value of γf, or when γ approaches a user-specified fraction of the value of γf.