Physicochemical and Microstructural Characterization of Klias Peat, Lumadan POFA, and GGBFS for Geopolymer Based Soil Stabilization

HighTech and Innovation Journal, Journal Year: 2023, Volume and Issue: 4(2), P. 327 - 348

Published: June 1, 2023

Peat soils are highly heterogeneous and considered problematic because they have a high moisture content low shear strength. It requires stabilization to enhance its engineering properties before it is transformed into viable construction material. The use of geopolymers as stabilizer materials for weak has been on the rise recently due their carbon footprint compared conventional like cement. Geopolymerization occurs result alkali activation aluminosilicate materials. In this study, peat soil Palm Oil Fuel Ash (POFA) Ground Granulated Blast Furnace Slag (GGBFS) characterized assess suitability geopolymer precursor A series laboratory studies were carried out determine physicochemical materials, such particle size distribution, organic content, specific gravity, pH, electrical conductivity. Furthermore, XRD, XRF, FESEM tests ascertain mineral characteristics, elemental chemical composition, morphological characteristics these respectively. classified hemic with sufficient (Si/Al ratio 2.11). POFA identified Class F pozzolan adequate Si+Al+Fe oxide (67.9%), stipulated by ASTM C618. GGBFS material was found be appropriate production, Si/Al 2.17, hydration modulus 2.38 (good hydration), basicity coefficient 1.32 (alkaline favorable geopolymerization). Based assessment criteria, all assessed deemed suitable geopolymerization, effectiveness POFA-GGBFS improve should studied in depth. At present, there limited pertaining alkali-activated blends properties. As characterization phase, planned works involving compressive strength testing program POFA-GGBFS-peat at ambient temperature will near future. eventual aim research remediate repurposed road subgrade Doi: 10.28991/HIJ-2023-04-02-07 Full Text: PDF

Language: Английский

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Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil

Sustainability, Journal Year: 2023, Volume and Issue: 15(2), P. 1408 - 1408

Published: Jan. 11, 2023

Unconfined compressive strength (UCS) can be used to assess the applicability of geopolymer binders as ecologically friendly materials for geotechnical projects. Furthermore, soft computing technologies are necessary since experimental research is often challenging, expensive, and time-consuming. This article discusses feasibility performance required predict UCS using a Random Forest (RF) algorithm. The alkali activator studied was sodium hydroxide solution, considered source material ground-granulated blast-furnace slag fly ash. A database with 283 clayey soil samples stabilized determine UCS. split into two sections development RF model: training data set (80%) testing (20%). Several measures, including coefficient determination (R), mean absolute error (MAE), root square (RMSE), were effectiveness model. statistical findings this study demonstrated that reliable model predicting value geopolymer-stabilized soil. based on obtained values RMSE = 0.9815 R2 0.9757 set, respectively, approach showed provide excellent results unknown within ranges examined parameters. Finally, SHapley Additive exPlanations (SHAP) analysis implemented identify most influential inputs quantify their behavior input variables

Language: Английский

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Taguchi-optimized triple-aluminosilicate geopolymer bricks with recycled sand: A sustainable construction solution

Case Studies in Construction Materials, Journal Year: 2023, Volume and Issue: 20, P. e02780 - e02780

Published: Dec. 11, 2023

Rapid infrastructure development has led to an enormous demand for cement and a huge production of construction demolition (C&D) waste. The ever-growing is leading very high amount CO2 emissions in the atmosphere. This research article focuses on addressing these two major issues emission inadequate handling C&D waste by developing novel geopolymer bricks utilizing three-aluminosilicate materials, which includes rice husk ash (RHA), ground granulated blast furnace slag (GGBS), red mud, using recycled washed sand as filler. Taguchi's method was used develop mix design making use four factors, i.e., binder percentage with six levels three alkaline solutions, sodium silicate/sodium hydroxide (SS/SH), ratio(A/B). A approach adopted preparing solution different techniques are highlighted this study. compressive strength water absorption were tested, optimum found B5 binder, 60% RHA, 20% GGBS, mud A2, SS/SH 2, alkaline/binder 0.45. maximum be 27.34 MPa, minimum also recorded at combination, 5.68%. negatively correlated degree 96% parametric map. Desirability analysis statistical ANNOVA discover percentage. Microscopic performed highest lowest values L18 experiment method. Along this, clustering algorithm evaluate scanning electron microscope (SEM) images. overall study suggested that governing factors properties bricks.

Language: Английский

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Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 28, 2024

Abstract The present research employs new boosting-based ensemble machine learning models i.e., gradient boosting (GB) and adaptive (AdaBoost) to predict the unconfined compressive strength (UCS) of geopolymer stabilized clayey soil. GB AdaBoost were developed validated using 270 soil samples with geopolymer, ground-granulated blast-furnace slag fly ash as source materials sodium hydroxide solution alkali activator. database was randomly divided into training (80%) testing (20%) sets for model development validation. Several performance metrics, including coefficient determination (R 2 ), mean absolute error (MAE), root square (RMSE), squared (MSE), utilized assess accuracy reliability models. statistical results this showed that are reliable based on obtained values R (= 0.980, 0.975), MAE 0.585, 0.655), RMSE 0.969, 1.088), MSE 0.940, 1.185) dataset, respectively compared widely used artificial neural network, random forest, extreme boosting, multivariable regression, multi-gen genetic programming Furthermore, sensitivity analysis result shows content key parameter affecting UCS.

Language: Английский

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Study on synthesis and water stability of geopolymer pavement base material using waste sludge

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 445, P. 141331 - 141331

Published: Feb. 19, 2024

Language: Английский

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Prediction of the Effect of Fly Ash on the Unconfined Compressive Strength of Basalt Fiber Reinforced Clay Using Artificial Neural Networks

Processes, Journal Year: 2025, Volume and Issue: 13(1), P. 157 - 157

Published: Jan. 8, 2025

In this study, the effects of fly ash (FA) and basalt fiber (BF) additives on unconfined compressive strength (qu) kaolin clay were experimentally investigated, a dataset was created based results. This used in an artificial neural network (ANN) model to predict qu additive ratio, water content, curing time. For purpose, samples prepared by adding 1% BF with length 24 mm FA at ratios 3%, 6%, 9%, 12%, 15% clay, followed addition 25% 30% water. Unconfined tests performed before after 28, 42, 56 days determine values. The evaluation obtained experimental results carried out creating ANN model. To validate prediction capabilities ANN, comparative analysis using various intelligence models, model’s overall performance assessed 5-fold cross-validation technique. evaluations revealed that model, data from studies, demonstrated highest accuracy close agreement According obtained, R value calculated as 0.97, while RMSE values found 0.09, 0.10, 0.06 0.04 for pre-curing, 28th day, 42nd day 56th respectively.

Language: Английский

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The impacts of freeze-thaw cycles on polypropylene fiber-reinforced clayey soil stabilized with alkali-activated fly ash

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: 22, P. e04439 - e04439

Published: Feb. 25, 2025

Language: Английский

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Development of alkali activated cementitious material from sewage sludge ash: Two-part and one-part geopolymer

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 384, P. 135547 - 135547

Published: Dec. 7, 2022

Language: Английский

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An overview of geopolymer composites for stabilization of soft soils

Construction and Building Materials, Journal Year: 2023, Volume and Issue: 404, P. 133195 - 133195

Published: Sept. 6, 2023

Language: Английский

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A literature review of the latest trends and perspectives regarding alkali-activated materials in terms of sustainable development

Journal of Materials Research and Technology, Journal Year: 2023, Volume and Issue: 25, P. 5394 - 5425

Published: July 1, 2023

The purpose of the paper was to analyze trends in formation alkali-activated materials (AAMs) produced from alternative starting blast furnace slags and fly ash. research reviewed on basis literature data past few years, which shows that researchers are increasingly paying attention possibility synthesis AAM such waste as industrial ashes, concrete demolition waste, red brick glass waste. This is driven by need find competitive solutions commonly used ashes cement industry, also a source for obtaining traditional AAM. Analysis material has shown these being successfully produce new AAMs, with most them only partial replacement article points out silicon- aluminum-rich mud, rice husks, can be activate AAMs materials, place typical activators form sodium silicates or hydroxides, turn contributes lowering carbon footprint AAMs. However, future this type solution depends several factors, important seems understanding polymerization mechanisms more complex aluminosilicate systems achievement reproducible physical chemical parameters AAM, resulting strong durable binders and, ultimately, construction made them.

Language: Английский

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