Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm

Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm

An iterative neural network framework is proposed in this paper for the human-induced Ground Reaction Forces (GRF) replication with an inertial electrodynamic mass actuator (APS 400). This is a first approach to the systematization of dynamic load tests on structures in a purely objective, repeatabl...

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Bibliographic Details
Main Authors: César Peláez-Rodríguez, Álvaro Magdaleno, Sancho Salcedo-Sanz, Antolín Lorenzana
Format: Article
Language:English
Published: Polish Academy of Sciences 2023-03-01
Series:Bulletin of the Polish Academy of Sciences: Technical Sciences
Subjects:
ground reaction forces
electrodynamic shaker
artificial neural networks
forces reconstruction
iterative neural network
Online Access:https://journals.pan.pl/Content/126564/PDF/BPASTS_2023_71_3_3347.pdf

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https://journals.pan.pl/Content/126564/PDF/BPASTS_2023_71_3_3347.pdf

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