Journal article
Numerical Model for Colloidal Silica Injected Column Tests
Vadose zone journal, v 13(2), pp 1-6
01 Feb 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The UTCHEM flood simulator was used to develop a numerical model to simulate colloidal silica transport through sand columns. Most existing numerical models for colloidal silica modeling include the gelation process, in which the viscosity gradually becomes orders of magnitude greater than the initial grout viscosity. However, in field grouting applications of shallow, loose, cohesionless deposits, injection at high viscosities may be limited due to allowable pressure limitations. In these cases, the injection is planned to be completed just before the gelling reaction begins. Thus, modeling the gelation process may not be necessary. The UTCHEM simulator accounts for fluids with varying densities and viscosities, making it a useful tool for simulating colloidal silica injection in cases where gelation does not need to be modeled explicitly. The model was validated using laboratory data from five column tests in which loose sand was treated with colloidal silica grout and one column test in which sand was treated with sodium silicate. The numerical model accurately represented the physical experiments. The numerical model provides a validated tool that can be used to design and optimize stabilizer delivery for laboratory and field applications in which gelation does not need to be modeled explicitly.
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Details
- Title
- Numerical Model for Colloidal Silica Injected Column Tests
- Creators
- M. Hamderi - P.C. Rizzo Associates, 500 Penn Center Blvd. Bldg. 5, Pittsburgh, PA 15235P. M. Gallagher - Drexel UniversityY. Lin - Hardesty & Hanover, 850 Bear Tavern Road, Suite 206, West Trenton, NJ 08628.
- Publication Details
- Vadose zone journal, v 13(2), pp 1-6
- Publisher
- Soil Sci Soc Amer
- Number of pages
- 6
- Grant note
- CMS-0238614 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000330972000003
- Scopus ID
- 2-s2.0-84893433261
- Other Identifier
- 991019167990504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Environmental Sciences
- Soil Science
- Water Resources