Abstract
Neural networks have been availably applied to the simulations of the mechanical behaviors of many materials. In this work, a neural network material model is built for the simulation of the inelastic behavior of biocomposite insect cuticle. Radial basis function neural network is adopted in the simulation for that the neural network has the characteristic of fast and exactly completing the simulation. In the construction of the neural network, the network is trained based on the experimental data of the load-displacement relationship of a chafer cuticle. A strain-controlled mode and the iterative method of data are adopted in the training process of the neural network. The obtained neural network model is used for the simulation of the inelastic behavior of another kind of insect cuticle. It is shown that the obtained material model of the radial basis function neural network can satisfactorily simulate the inelastic behavior of insect cuticle.
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© 2005 Springer-Verlag Berlin Heidelberg
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Chen, B., Chen, G., Liu, H., Peng, X., Fan, J. (2005). Inelastic Simulation of Insect Cuticle Using Artificial Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_157
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DOI: https://doi.org/10.1007/11427469_157
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
Online ISBN: 978-3-540-32069-2
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