Journal ArticleDOI
Hydraulic Conductivity, Grain Size Distribution (GSD) and Cement Injectability Limits Predicted of Sandy Soils Using Vipulanandan Models
Wael Mahmood,Ahmed Mohammed +1 more
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TLDR
In this paper, the Vipulanandan p-q model was modified and used to represent the particle size distribution of soils and the results of prediction were compared with the Fredlund and Logistic Growth models used in the literature.Abstract:
In this study, permeability, particle size distribution of the sandy soils and collected data from several research studies were analyzed and modeled using Vipulanandan p–q model and the results of prediction were compared with the Fredlund and Logistic Growth models used in the literature. The Vipulanandan p–q model was modified and used to represent the particle size distribution of soils. The Vipulanandan p–q model parameters were correlated very well to various soil properties such as the diameter in the particle size distribution curve corresponding to 10%, 30%, 60%, and 90% of finer (d10, d30, d60, and d90 respectively), mean particle size the diameter in the particle size distribution curve corresponding to 50% finer (d50), and fines content (F%). The range of particle sizes investigated in this study was 0.14–0.94 mm, 0.075–1.76 mm, and 0.15–3.59 mm for the d10, d30, and d60, respectively. Also, from the Vipulanandan p–q model parameter, the permeability of the soils have been predicted successfully. A current study also had quantified the lower groutability limit based on the d50 and the Vipulanandan p–q model parameters. The relationship between fines content and d50 were also generalized using the Vipulanandan p–q model to quantify the upper and lower groutability limits for sandy-soils.read more
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Systematic multiscale models to predict the compressive strength of self-compacting concretes modified with nanosilica at different curing ages
Rabar H. Faraj,Rabar H. Faraj,Azad A. Mohammed,Ahmed Mohammed,Khalid M. Omer,Hemn Unis Ahmed +5 more
TL;DR: In this article, three different models including the linear relationship model (LR), nonlinear model (NLR), and multi-logistic model (MLR) were proposed to predict the compressive strength of SCC mixtures made with or without nano-silica (NS).
Journal ArticleDOI
Characterization and modeling the flow behavior and compression strength of the cement paste modified with silica nano-size at different temperature conditions
Ahmed Mohammed,Serwan Rafiq,Wael Mahmood,Riyadh Noaman,Kawan Ghafor,Warzer Qadir,Quraish Kadhum +6 more
TL;DR: In this paper, the effect of nano-silica (NS) as an additive to the Ordinary Portland Cement was evaluated and quantified using non-linear regression (NLR) based model.
Journal ArticleDOI
Microstructure characterizations, thermal properties, yield stress, plastic viscosity and compression strength of cement paste modified with nanosilica
Ahmed Mohammed,Serwan Rafiq,Wael Mahmood,Riyadh Noaman,Hind AL-Darkazali,Kawan Ghafor,Warzer Qadir +6 more
TL;DR: In this article, the effect of nano-silica (NS) as an additive to Ordinary Portland Cement was evaluated and quantified using a non-linear regression (NLR) based model.
Journal ArticleDOI
Systemic multi-scale approaches to predict the flowability at various temperature and mechanical properties of cement paste modified with nano-calcium carbonate
Ahmed Salih,Serwan Rafiq,Wael Mahmood,Hind AL-Darkazali,Riyadh Noaman,Kawan Ghafor,Warzer Qadir +6 more
TL;DR: In this article, the effect of nano-calcium carbonate (nano-CaCO3) as an additive to the cement paste was evaluated and quantified, and the nonlinear regressions (NLR) model and Artificial Neural Network (ANN) technical approaches were used for the qualifications of the flow of slurry and stress at the failure of the cement mixture modified with nano-caCO3.
Journal ArticleDOI
Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay
Ahmed Mohammed,Serwan Rafiq,Wael Mahmood,Hind Al-Darkazalir,Riyadh Noaman,Warzer Qadir,Kawan Ghafor +6 more
TL;DR: In this paper, the effect of nanoclay (NC) as an additive to the cement paste was evaluated and quantified, and the authors concluded that the noclay content is the most important parameter for rheological estimation and compression strength of cement paste.
References
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Book
Deciding for Others: The Ethics of Surrogate Decision Making
Allen Buchanan,Dan W. Brock +1 more
TL;DR: The primary ethical framework: patient-centered principles and application: Advance directives, personhood, and personal identity provide a framework for distributing justice and the incompetent.
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A Unifying Quantitative Analysis of Soil Texture
Mostafa A. Shirazi,L. Boersma +1 more
Journal ArticleDOI
Determination of Hydraulic Conductivity from Complete Grain‐Size Distribution Curves
Mahmoud S. Alyamani,Zekâi Şen +1 more
TL;DR: In this article, an alternative procedure is proposed which relates the hydraulic conductivity to the initial slope and intercept of the grain-size distribution curve, which is documented with data from Australia and Saudi Arabia.
Evaluation of Empirical Formulae for Determination of Hydraulic Conductivity based on Grain-Size Analysis
TL;DR: Several empirical equations to calculate hydraulic conductivity using grain size distribution of unconsolidated aquifer materials have been evaluated in this article, which showed that all the seven empirical formulae reliably estimated hydraulic conductivities of the various soil samples well within the known ranges.