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This chapter focuses on the need for science based probability modeling of damage evolution, and distribution for use in life cycle engineering and management (LCEM) of modem, high value-added engineered systems.
The essence of science based probability modeling of damage, evolution, and distribution is the formulation of a time dependent damage function that captures its functional dependence on all of the key internal and external variables, and their variability.
This paper deals with the modeling of damage in laminates under dynamic loading.
The methodology undertaken consists of firstly, the numerical modeling of damage development in the FRP composite laminate.
However, this concept is especially powerful when extended to the modeling of damage and delamination in fibre-reinforced composite laminates.
The above advantages lend to their promising use in the modeling of damage induced anisotropy and MCR effects simultaneously.
Similar(51)
The experimental results are presented and compared to model estimations of damage progression and show good agreement.
Hsu and Chung (2002) evolved a model of damage diagnosing for RC structures using the ANN technique.
This allows models of damage and phase-transformation to be included in the analysis.
The present paper presents a model of damage coupled to wear.
The paper aims to present a novel mathematical formulation for the modelling of damage.
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