Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
510110 | Computers & Structures | 2009 | 10 Pages |
Abstract
This paper shows the application of neural networks in a multiscale analysis of a reinforced concrete beam. A mesoscale model is presented, which simulates the pullout test of a reinforcement bar in concrete. By applying a homogenization procedure, a macroscopic stress vs. crack opening response is obtained from the mesoscale simulations. The neural network is used to approximate this relation in a macroscale simulation and replaces the material formulation of the interface layer between concrete and reinforcement, thus avoiding the computationally expensive parallel simulation on different scales.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Jörg F. Unger, Carsten Könke,