Evaluation of Sediment Transport in Sewer using Artificial Neural Network

Sedimentation in sewers occurs regularly according to the alternating natural flow. The long term deposit of material in the sewerage systems increases the risk of changes in the sediments and their consolidation and cementation. In particular under low flow conditions, permanent settlement similar...

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Bibliographic Details
Published inEngineering applications of computational fluid mechanics Vol. 7; no. 3; pp. 382 - 392
Main Authors Ebtehaj, Isa, Bonakdari, Hossein
Format Journal Article
LanguageEnglish
Published Hong Kong Taylor & Francis 2013
Taylor & Francis Ltd
Subjects
ANN
Artificial neural networks
bed-load
Cementation
Neural networks
sediment
Sediment transport
Sedimentation
Sediments
self-cleansing
sewer
Sewer systems
Shear stress
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Summary:Sedimentation in sewers occurs regularly according to the alternating natural flow. The long term deposit of material in the sewerage systems increases the risk of changes in the sediments and their consolidation and cementation. In particular under low flow conditions, permanent settlement similar to that on the sewer bed alters the nature of velocity and distribution of the boundary shear stress. Consequently, it affects the capacity of sediment transport and the hydraulic resistance of the sewer. The article reviews the application of Artificial Neural Network (ANN) in predicting the sediment transport using the concept of self-cleansing of sewer systems. In comparison with existing methods, the ANN showed acceptable results.
ISSN:1994-2060
1997-003X
DOI:10.1080/19942060.2013.11015479