Active control of trusses under heavy static loads

Title:

Active control of trusses under heavy static loads

Creator:

Joghataie, Abdolreza

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:6001b7fd-5267-44da-a6bc-cee60bbb80b8
uuid:6001b7fd-5267-44da-a6bc-cee60bbb80b8

Subject:

truss, static, active control, neuro-controller, optiniality criteria, and non-linearity

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Trusses are suitable load-bearing structural systems for heavy concentrated loads. In this paper, it is shown that it is possible to use active control mechanisms to enhance the load-bearing capacity of the trusses. Under heavy loading, some elernents of a truss might experience high stresses and show non-linear behavior, resulting in large deformations in the truss. Under such a condition, some elernents of the truss might damage which can lead to the collapse of the truss. Application of control forces on some of the degrees of freedom of the truss can render help the truss tolerate larger forces before its collapse. A neural network can then be trained to learn the relationship between the Information about the external loads on the truss, as input, and the required control forces, as output, and act as a neuro-controller for the truss. This method is explained and then tested on a smáli truss to show the capabilities of the method.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2001 Volume:11 | Number:3

Harvested from:

CDK

Metadata only:

false