Data-driven polynomial chaos expansions for characterization of complex fluid rheology: Case study of phosphate slurry-Reference-Cited by-同舟云学术

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Data-driven polynomial chaos expansions for characterization of complex fluid rheology: Case study of phosphate slurry

Published:2021-12 Issue: Volume:216 Page:107923
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

El Moçayd Nabil^ORCID,Seaid Mohammed^ORCID

Funder

OCP Foundation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference62 articles.

1. When nitrate and phosphate sensors meet;Poza-Carrión;Nat Plants,2019

2. The future distribution and production of global phosphate rock reserves;Cooper;Resour Conserv Recy,2011

3. Creating shared value in Moroccan companies: a case study of OCP SA;Elamrani;Transnatl Corp Rev,2016

4. Influence of rheology on pressure losses in hydrotransport system of iron ore tailings;Avksentiev;J Ind Pollut Control,2017

5. Rheology and non-Newtonian fluids;Irgens,2014

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1. Classifier-based adaptive polynomial chaos expansion for high-dimensional uncertainty quantification;Computer Methods in Applied Mechanics and Engineering;2024-03

2. Rheology data-driven machine learning models for phosphate slurry pipeline in Morocco;AIP Conference Proceedings;2024

3. Parameterized coefficient fine-tuning-based polynomial chaos expansion method for sphere-biconic reentry vehicle reliability analysis and design;Reliability Engineering & System Safety;2023-12

4. A fast and accurate method for transport and dispersion of phosphogypsum in coastal zones: Application to Jorf Lasfar;International Journal for Numerical Methods in Fluids;2023-11-13

5. Evaluation of future temperature and precipitation projections in Morocco using the ANN-based multi-model ensemble from CMIP6;Atmospheric Research;2023-09

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