| Title |
Substructure Online Test UsingReal-Time Hysteresis Modeling with Neural Network |
| Keywords |
Neural Network ; Substructure On-Line Test ; Input Layer Component ; Normalization Method ; Hysteresis Characteristic |
| Abstract |
In general, hysteresis models that are applied to a numerical analysis part of substructure on-line tests do not refer to an experimental behavior of members/subassemblage under loading tests on real-time basis. The objective of this study is to develop a new experimental technique for substructure on-line tests based on nonlinear hysteresis characteristics estimated with a neural network. New learning algorithms proposed by the authors are applied to substructure on-line tests and their results are compared with those by conventional test schemes. The results show that the new testingscheme successfully reproduce the dynamic behavior of model structure. |