Forecasting the discharge capacity of inflatable rubber dams using hybrid machine learning models
Inflatable dams are flexible hydraulic structures that are constructed on rivers and are inflated by fluids such as air or water. This research investigates the effects of influential dimensionless factors on estimating one of the critical hydraulic characteristics of inflatable dams, namely the dis...
Guardado en:
Autores principales: | Wenyu Zheng, Shahab S. Band, Hojat Karami, Sohrab Karimi, Saeed Samadianfard, Sadra Shadkani, Kwok-Wing Chau, Amir H. Mosavi |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/934acee735a744819036db2651b589cd |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Design, construction, operation and the effect of fines content and permeability on the seismic performance of tailings sand dams in Chile
por: Valenzuela,Luis
Publicado: (2016) -
The Catastrophe of the Niedów Dam—The Causes of the Dam’s Breach, Its Development, and Consequences
por: Stanisław Kostecki, et al.
Publicado: (2021) -
Study of Geometric Elements for the Proposed Protecting Dam Reservoir in Al-Fat'ha Area, Iraq
por: Abdallah Sabbar S., et al.
Publicado: (2021) -
Implementation of Value Engineering in the Body of Earth Dams: A Case Study of Sikan Dam, Daree- shahr, Ilam
por: Armin Monirabasi, et al.
Publicado: (2015) -
Investigating the effect of crack length and angle on the behavior of concrete weights: a case study of Gotvand deviation regulation dam
por: zeynab derikvand, et al.
Publicado: (2020)