Abstract

A stoichiometric model was developed for predicting the amount of carbonate precipitation and gas production from two different biogeotechnical soil improvement techniques: enzyme-induced hydrolysis of urea and microbial denitrification. Carbonate precipitation via hydrolysis of urea, or ureolysis, and via dissimilatory nitrate reduction, or denitrification, has been shown in laboratory testing to improve the shear strength and cyclic resistance of granular soils. Desaturation via denitrification has also shown the ability to improve cyclic resistance. For effective implementation of these techniques in the field, it is important to understand the material requirements necessary to achieve the desired degree of improvement. Therefore, a model for predicting carbonate precipitation and gas production from these techniques was developed using stoichiometry, thermodynamics, and microbial growth patterns and calibrated with laboratory test data. The model will facilitate the implementation of cost-effective, non-intrusive, and sustainable ground improvement.

Original languageEnglish (US)
Pages (from-to)7-16
Number of pages10
JournalUnknown Journal
Volume2016-January
Issue number269 GSP
DOIs
StatePublished - 2016

Fingerprint

Denitrification
soil improvement
Carbonates
denitrification
Soil
Soils
gas production
carbonate
Urea
urea
hydrolysis
Hydrolysis
Gases
Shear Strength
ground improvement
stoichiometry
Thermodynamics
Stoichiometry
Shear strength
Nitrates

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction
  • Geotechnical Engineering and Engineering Geology

Cite this

A Stoichiometric Model for Biogeotechnical Soil Improvement. / O'Donnell, Sean T.; Hamdan, Nasser; Rittmann, Bruce; Kavazanjian, Edward.

In: Unknown Journal, Vol. 2016-January, No. 269 GSP, 2016, p. 7-16.

Research output: Contribution to journalArticle

O'Donnell, Sean T. ; Hamdan, Nasser ; Rittmann, Bruce ; Kavazanjian, Edward. / A Stoichiometric Model for Biogeotechnical Soil Improvement. In: Unknown Journal. 2016 ; Vol. 2016-January, No. 269 GSP. pp. 7-16.
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