A data‐driven bond‐based peridynamic model derived from group method of data handling neural network with genetic algorithm

In the governing equation of motion of bond‐based peridynamics, the acceleration of a material point can be considered as the response function of all the displacements of material points in the horizon and a micro stiffness containing Young's modulus and length scale. A group method of data ha...

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Vydáno v:	International journal for numerical methods in engineering Ročník 123; číslo 22; s. 5618 - 5651
Hlavní autoři:	Yu, Xiang‐Long, Zhou, Xiao‐Ping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken, USA John Wiley & Sons, Inc 30.11.2022 Wiley Subscription Services, Inc
Témata:	data‐driven model Elastic deformation equation of motion Equations of motion Exact solutions Finite element method Genetic algorithms GMDH neural network Group method of data handling Horizon Modulus of elasticity Neural networks peridynamics Response functions Stiffness
ISSN:	0029-5981, 1097-0207
On-line přístup:	Získat plný text
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