A comparison of different slurry transport models for sands & gravels

Sape Miedema, R. C. Ramsdell

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

In dredging, sand and gravel are often transported through pipelines mixed with water. In order to determine the pumping power required, but also predict whether there will be a bed or not, the resistance (hydraulic gradient) and the Limit Deposit Velocity (LDV) have to be determined. The transport process is always an interaction between the pump and the pipeline resistance of the mixture transported. An important parameter is the LDV, the line speed above which there is no fixed or sliding bed. There are many models in literature to determine the resistance, expressed as the hydraulic gradient, and the LDV, but which models are best suited for the case considered. For the pipeline resistance models, the following categories can be distinguished: 2LM or 3LM sliding bed model, concentration distribution based models, semi-empirical heterogeneous flow regime models and homogeneous flow regime models. For the LDV about 25 models are compared, where most models are semi-empirical. The paper will give an overview of the most used models and show methods to compare these models and make a choice of the best suited model, the Delft Head Loss & Limit Deposit Velocity (DHLLDV) Framework.
Original languageEnglish
Title of host publicationProceedings of the 21st World Dredging Congress & Exhibition 2016 (WODCON XXI)
Subtitle of host publicationInnovations in Dredging
Place of PublicationVancouver, WA, USA
PublisherWestern Dredging Association
Pages186-202
Volume1
ISBN (Print)978-1-5108-2989-3
Publication statusPublished - 2016
EventWODCON XXI: World Dredging Congress and Exposition 2016 "Innovations in Dredging" - Miami, United States
Duration: 13 Jul 201617 Jul 2016

Conference

ConferenceWODCON XXI: World Dredging Congress and Exposition 2016 "Innovations in Dredging"
CountryUnited States
CityMiami
Period13/07/1617/07/16

Keywords

  • Turbidity generation
  • near-field plume dispersion
  • large eddy simulation

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