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    Influence of Key Environmental Conditions on Microbially Induced Cementation for Soil Stabilization 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2017:;Volume ( 143 ):;issue: 001
    Author(s): Liang Cheng; Mohamed A. Shahin; Donovan Mujah
    Publisher: American Society of Civil Engineers
    Abstract: Microbially induced calcite precipitation (MICP) is a sustainable biological ground improvement technique that is capable of altering and improving soil mechanical and geotechnical engineering properties. In this paper, ...
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    Microstructural and Geomechanical Study on Biocemented Sand for Optimization of MICP Process 

    Source: Journal of Materials in Civil Engineering:;2019:;Volume ( 031 ):;issue: 004
    Author(s): Donovan Mujah; Liang Cheng; Mohamed A. Shahin
    Publisher: American Society of Civil Engineers
    Abstract: Limited research has been reported on strength improvement of biocemented soils in relation to crystal patterns of microbially induced calcite (CaCO3) precipitation (MICP). In this study, sand samples were treated under ...
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    Experimental and Analytical Study on Geomechanical Behavior of Biocemented Sand 

    Source: International Journal of Geomechanics:;2021:;Volume ( 021 ):;issue: 008:;page 04021126-1
    Author(s): Donovan Mujah; Mohamed A. Shahin; Liang Cheng; Ali Karrech
    Publisher: ASCE
    Abstract: Research on soil biocementation has gained momentum given its advantages over ordinary Portland cement-based techniques that entail a negative environmental impact. Soil biocementation occurs when bacteria-induced urea ...
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    Closure to “Predicting Settlement of Shallow Foundations Using Neural Networks” by Mohamed A. Shahin, Holger R. Maier, and Mark B. Jaksa 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2003:;Volume ( 129 ):;issue: 012
    Author(s): Mohamed A. Shahin; Holger R. Maier; Mark B. Jaksa
    Publisher: American Society of Civil Engineers
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    Predicting Settlement of Shallow Foundations using Neural Networks 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2002:;Volume ( 128 ):;issue: 009
    Author(s): Mohamed A. Shahin; Holger R. Maier; Mark B. Jaksa
    Publisher: American Society of Civil Engineers
    Abstract: Over the years, many methods have been developed to predict the settlement of shallow foundations on cohesionless soils. However, methods for making such predictions with the required degree of accuracy and consistency ...
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    Data Division for Developing Neural Networks Applied to Geotechnical Engineering 

    Source: Journal of Computing in Civil Engineering:;2004:;Volume ( 018 ):;issue: 002
    Author(s): Mohamed A. Shahin; Holger R. Maier; Mark B. Jaksa
    Publisher: American Society of Civil Engineers
    Abstract: In recent years, artificial neural networks (ANNs) have been applied to many geotechnical engineering problems with some degree of success. In the majority of these applications, data division is carried out on an arbitrary ...
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    Design of Stiffened Slab Foundations on Reactive Soils Using 3D Numerical Modeling 

    Source: International Journal of Geomechanics:;2020:;Volume ( 020 ):;issue: 007
    Author(s): Mohamed A. Shams; Mohamed A. Shahin; Mostafa A. Ismail
    Publisher: ASCE
    Abstract: Over the past decades, stiffened slab foundations have been assessed as the most successful foundation system for structures that are susceptible to risks from reactive soils. However, most existing design methods simplify ...
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