Artificial neural networks approach to predict principal ground motion parameters for quick post-earthquake damage assessment of bridges
| Contribuinte(s) |
University of Aberdeen, School of Engineering, Engineering University of Aberdeen, Energy |
|---|---|
| Data(s) |
05/08/2016
05/08/2016
26/04/2013
|
| Resumo |
Peer reviewed Preprint |
| Identificador |
Shahab , R , Omenzetter , P & Orense , R 2013 , ' Artificial neural networks approach to predict principal ground motion parameters for quick post-earthquake damage assessment of bridges ' . in Proceedings of the New Zealand Society for Earthquake Engineering Annual Conference 2013 . pp. 1-8 . , 10.13140/2.1.1845.6003 PURE: 47075709 PURE UUID: 92a3cedd-a873-4741-8ce3-c87c9c340258 |
| Idioma(s) |
eng |
| Relação |
Proceedings of the New Zealand Society for Earthquake Engineering Annual Conference 2013 |
| Tipo |
Book item |
