Seite - 915 - in Book of Full Papers - Symposium Hydro Engineering
Bild der Seite - 915 -
Text der Seite - 915 -
[16] Kao CY, Loh CH. Monitoring of long-term static deformation data of Fei-Tsui arch
dam using artificial neural network-based approaches. Structural Control and
Health Monitoring, 2013, 20(3): 282-303.
[17] Ranković V, Grujović N, Divac D, et al. Development of support vector regression
identification model for prediction of dam structural behaviour. Structural Safety,
2014, 48(48):33-39.
[18] Mata J, Castro A T D, Costa J S D. Constructing statistical models for arch dam
deformation. Structural Control & Health Monitoring, 2014, 21(3):423-437.
[19] A.De Sortis, P.Paoliani. Statistical analysis and structural identification in concrete
dam monitoring. Engineering Structures, 2007, 29(1): 110-120.
[20] Gu CS, Su HZ. Current status and prospects of long-term service and risk
assessment of concrete dams. Advances in Science and Technology of Water
Resources, 2015, 35(5):1-12.
915
Book of Full Papers
Symposium Hydro Engineering
- Titel
- Book of Full Papers
- Untertitel
- Symposium Hydro Engineering
- Autor
- Gerald Zenz
- Verlag
- Verlag der Technischen Universität Graz
- Ort
- Graz
- Datum
- 2018
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-85125-620-8
- Abmessungen
- 20.9 x 29.6 cm
- Seiten
- 2724
- Schlagwörter
- Hydro, Engineering, Climate Changes
- Kategorien
- International
- Naturwissenschaften Physik
- Technik