| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Salami, Babatunde Abiodun
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (25/25 displayed)
- 2024Evaluating long-term durability of nanosilica-enhanced alkali-activated concrete in sulfate environments towards sustainable concrete developmentcitations
- 2023Graphene-based concretecitations
- 2023Microencapsulated phase change materials for enhanced thermal energy storage performance in construction materialscitations
- 2023Using explainable machine learning to predict compressive strength of blended concretecitations
- 2023Implementation of nonlinear computing models and classical regression for predicting compressive strength of high-performance concretecitations
- 2023An overview of factors influencing the properties of concrete incorporating construction and demolition wastescitations
- 2023High strength concrete compressive strength prediction using an evolutionary computational intelligence algorithmcitations
- 2023Evaluating mechanical, microstructural and durability performance of seawater sea sand concrete modified with silica fumecitations
- 2022Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence Modelscitations
- 2022Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Modelcitations
- 2022Predicting Bond Strength between FRP Rebars and Concrete by Deploying Gene Expression Programming Modelcitations
- 2022Acid Resistance of Alkali-Activated Natural Pozzolan and Limestone Powder Mortarcitations
- 2022Engineered and green natural pozzolan-nano silica-based alkali-activated concretecitations
- 2022Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environmentscitations
- 2022Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysiscitations
- 2021Predicting the compressive strength of a quaternary blend concrete using Bayesian regularized neural networkcitations
- 2021Strength and acid resistance of ceramic-based self-compacting alkali-activated concretecitations
- 2021Effect of alkaline activator ratio on the compressive strength response of POFA-EACC mortar subjected to elevated temperaturecitations
- 2021Assessment of acid resistance of natural pozzolan-based alkali-activated concretecitations
- 2020Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concretecitations
- 2019Influence of composition and concentration of alkaline activator on the properties of natural-pozzolan based green concretecitations
- 2017POFA-engineered alkali-activated cementitious composite performance in acid environmentcitations
- 2016Impact of added water and superplasticizer on early compressive strength of selected mixtures of palm oil fuel ash-based engineered geopolymer compositescitations
- 2016Durability performance of Palm Oil Fuel Ash-based Engineered Alkaline-activated Cementitious Composite (POFA-EACC) mortar in sulfate environmentcitations
- 2014Mechanical properties and durability characteristics of SCC incorporating crushed limestone powdercitations
Places of action
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article
Acid Resistance of Alkali-Activated Natural Pozzolan and Limestone Powder Mortar
Abstract
<jats:p>The development of sustainable, environmentally friendly alkali-activated binder has emerged as an alternative to ordinary Portland cement. The engineering and durability properties of alkali-activated binder using various precursor combinations have been investigated; however, no study has focused on the impact of high-volume natural pozzolan (NP) on the acid resistance of alkali-activated NP and limestone powder. Therefore, the current study assesses the impact of high-volume natural pozzolan (volcanic ash) on the durability properties of alkali-activated natural pozzolan (NP) and limestone powder (LSP) mortar by immersion in 6% H2SO4 for 365 days. The samples were prepared with different binder ratios using alkaline activators (10 M NaOH(aq) and Na2SO4) combined in a 1:1 ratio and cured at 75 . NP was combined with the LSP at three different combinations: NP:LSP = 40:60 (AAN40L60), 50:50 (AAN50L50), and 60:40 (AAN60L40), representing low-volume, balanced, and high-volume binder combinations. Water absorption, weight change, and compressive strength were examined. The microstructural changes were also investigated using FTIR, XRD, and SEM/EDS characterization tools. Visual examination showed insignificant deterioration in the sample with excess natural pozzolan (AAN60L40) after 1 year of acid exposure, and the maximum residual strengths were 20.8 MPa and 6.68 MPa in AAN60L40 and AAN40L60 with mass gain (1.37%) and loss (10.64%), respectively. The high sulfuric acid resistance of AAN60L40 mortar was attributed to the high Ca/Si = 10 within the C-A-S-H and N-A-S-H formed. The low residual strength recorded in AAN40L60 was a result of gypsum formation from an acid attack of calcium-dominated limestone powder. The controlling factor for the resistance of the binder to acid corrosion was the NP/LSP ratio, whose factor below 0.6 caused significant debilitating effects.</jats:p>