๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

MODELLING UNKNOWN STRUCTURAL SYSTEMS THROUGH THE USE OF NEURAL NETWORKS

โœ Scribed by CHASSIAKOS, A. G.; MASRI, S. F.

Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
822 KB
Volume
25
Category
Article
ISSN
0098-8847

No coin nor oath required. For personal study only.

โœฆ Synopsis

This paper explores the potential of using neural networks to identify the internal forces of typical systems encountered in the field of earthquake engineering and structural dynamics. After formulating the identification task as a neural network learning procedure, the method is applied to a representative chain-like system under deterministic and stochastic excitations. The neural network based identification method provides very good results for general classes of multidegree-of-freedom structural systems. The range of validity of the approach is demonstrated, and some application issues are discussed for (a) partially known multi-degree-of-freedom systems and (b) completely unknown systems.

๐Ÿ“œ SIMILAR VOLUMES

Modelling of structural response and opt
Modelling of structural response and optimization of structural control system using neural network and genetic algorithm
โœ Li, Q. S. ;Liu, D. K. ;Leung, A. Y. T. ;Zhang, N. ;Tam, C. M. ;Yang, L. F. ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 151 KB ๐Ÿ‘ 1 views

This paper proposes an integrated approach to the modelling and optimization of structural control systems in tall buildings. In this approach, an artificial neural network is applied to model the structural dynamic responses of tall buildings subjected to strong earthquakes, and a genetic algorithm

A method for non-parametric damage detec
A method for non-parametric damage detection through the use of neural networks
โœ Nakamura, Mitsuru; Masri, Sami F.; Chassiakos, Anastassios G.; Caughey, Thomas K ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 237 KB ๐Ÿ‘ 2 views

A neural network-based approach is presented for the detection of changes in the characteristics of structure-unknown systems. The approach relies on the use of vibration measurements from a 'healthy' system to train a neural network for identification purposes. Subsequently, the trained network is

Identification of power system dynamics
Identification of power system dynamics due to combined use of mathematical model and neural network
โœ Norio Takahashi; Hiromasa Takeno; Yasuharu Ohsawa ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 252 KB

## Abstract In order to obtain a reliable model of power systems, identification of power system dynamics by employing a neural network is studied. A new method of combined use of a mathematical model and a neural network is proposed. The effectiveness of the proposed method is verified by applying