𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Structural damage detection using the optimal weights of the approximating artificial neural networks

✍ Scribed by Shih-Lin Hung; C. Y. Kao

Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
235 KB
Volume
31
Category
Article
ISSN
0098-8847

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A method for non-parametric damage detec
A method for non-parametric damage detection through the use of neural networks
✍ Nakamura, Mitsuru; Masri, Sami F.; Chassiakos, Anastassios G.; Caughey, Thomas K πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 237 KB πŸ‘ 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

Predicting the properties of needlepunch
Predicting the properties of needlepunched nonwovens using artificial neural network
✍ Amit Rawal; Abhijit Majumdar; Subhash Anand; Tahir Shah πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 559 KB

## Abstract Needlepunching is a well‐known nonwoven process of converting fibrous webs into self‐locking or coherent structures using barbed needles. In this study, Artificial Neural Network (ANN) modeling technique has been used to predict the bulk density and tensile properties of needlepunched n

MODELLING UNKNOWN STRUCTURAL SYSTEMS THR
MODELLING UNKNOWN STRUCTURAL SYSTEMS THROUGH THE USE OF NEURAL NETWORKS
✍ CHASSIAKOS, A. G.; MASRI, S. F. πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 822 KB

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 repre