High-performance polymer composites are used in demanding applications in civil and aerospace engineering. Often. structures made from such composites are monitored using structural health monitoring systems. This investigation aims to use a multilayer perceptron neural network to model polymer response to a non-standard excitation under different temperature conditions. https://allfixelectricales.shop/product-category/fridge-door-bumper/
Neural networks for predicting the temperature-dependent viscoelastic response of PEEK under constant stress rate loading
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