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Mechanical and microstructural performance of concrete containing high-volume of bagasse ash and silica fume.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-08749-1
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- Article
The Recent Development in Chemoresistive-Based Heterostructure Gas Sensor Technology, Their Future Opportunities and Challenges: A Review.
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- Membranes, 2022, v. 12, n. 6, p. 555, doi. 10.3390/membranes12060555
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- Article
Modeling Compressive Strength of Eco-Friendly Volcanic Ash Mortar Using Artificial Neural Networking.
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- Symmetry (20738994), 2021, v. 13, n. 11, p. 2009, doi. 10.3390/sym13112009
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- Article
Evaluating the compressive strength of glass powder-based cement mortar subjected to the acidic environment using testing and modeling approaches.
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- PLoS ONE, 2023, v. 17, n. 4, p. 1, doi. 10.1371/journal.pone.0284761
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- Article
Investigation on In Situ Carbon-Coated ZnFe 2 O 4 as Advanced Anode Material for Li-Ion Batteries.
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- Gels (2310-2861), 2022, v. 8, n. 5, p. 305, doi. 10.3390/gels8050305
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- Article
Evaluating the Effect of Cement and ARG Fiber on the Mechanical and Microstructural Properties of Dune Sand.
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- Advances in Civil Engineering, 2024, p. 1, doi. 10.1155/2024/5538831
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- Article
Influence of Fineness of Wheat Straw Ash on Autogenous Shrinkage and Mechanical Properties of Green Concrete.
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- Crystals (2073-4352), 2022, v. 12, n. 5, p. N.PAG, doi. 10.3390/cryst12050588
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- Article
Comparison of Machine Learning Approaches with Traditional Methods for Predicting the Compressive Strength of Rice Husk Ash Concrete.
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- Crystals (2073-4352), 2021, v. 11, n. 7, p. 779, doi. 10.3390/cryst11070779
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- Article
Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete.
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- Crystals (2073-4352), 2020, v. 10, n. 9, p. 737, doi. 10.3390/cryst10090737
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- Article
Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete.
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- Advances in Civil Engineering, 2021, p. 1, doi. 10.1155/2021/6682283
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- Article
A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC).
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- Applied Sciences (2076-3417), 2020, v. 10, n. 20, p. 7330, doi. 10.3390/app10207330
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- Article
Cracking Behavior of RC Beams Strengthened with Different Amounts and Layouts of CFRP.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 5, p. 1017, doi. 10.3390/app9051017
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- Article
Absorption Behaviours of Copper, Lead, and Arsenic in Aqueous Solution Using Date Palm Fibres and Orange Peel: Kinetics and Thermodynamics.
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- Polish Journal of Environmental Studies, 2017, v. 26, n. 3, p. 543, doi. 10.15244/pjoes/66963
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- Publication type:
- Article
Absorption Behaviours of Copper, Lead, and Arsenic in Aqueous Solution Using Date Palm Fibres and Orange Peel: Kinetics and Thermodynamics.
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- Polish Journal of Environmental Studies, 2017, v. 26, n. 2, p. 543, doi. 10.15244/pjoes/66963
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- Article
Effect of Elevated Temperatures on Mortar with Naturally Occurring Volcanic Ash and Its Blend with Electric Arc Furnace Slag.
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- Advances in Materials Science & Engineering, 2018, p. 1, doi. 10.1155/2018/5324036
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- Article
Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete.
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- Advances in Civil Engineering, 2020, p. 1, doi. 10.1155/2020/8850535
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- Article
Knowledge Mapping of the Literature on Fiber-Reinforced Geopolymers: A Scientometric Review.
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- Polymers (20734360), 2022, v. 14, n. 22, p. 5008, doi. 10.3390/polym14225008
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- Article
Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis.
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- Polymers (20734360), 2022, v. 14, n. 21, p. 4717, doi. 10.3390/polym14214717
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- Article
Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete.
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- Polymers (20734360), 2022, v. 14, n. 18, p. N.PAG, doi. 10.3390/polym14183906
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- Article
A Scientometric-Analysis-Based Review of the Research Development on Geopolymers.
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- Polymers (20734360), 2022, v. 14, n. 17, p. 3676, doi. 10.3390/polym14173676
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- Article
Hybrid Ensemble Model for Predicting the Strength of FRP Laminates Bonded to the Concrete.
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- Polymers (20734360), 2022, v. 14, n. 17, p. 3505, doi. 10.3390/polym14173505
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- Article
A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms.
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- Polymers (20734360), 2022, v. 14, n. 15, p. 3097, doi. 10.3390/polym14153097
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- Article
Compressive Strength Estimation of Steel-Fiber-Reinforced Concrete and Raw Material Interactions Using Advanced Algorithms.
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- Polymers (20734360), 2022, v. 14, n. 15, p. 3065, doi. 10.3390/polym14153065
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- Article
Investigating the Bond Strength of FRP Rebars in Concrete under High Temperature Using Gene-Expression Programming Model.
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- Polymers (20734360), 2022, v. 14, n. 15, p. 2992, doi. 10.3390/polym14152992
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- Article
Assessment of Artificial Intelligence Strategies to Estimate the Strength of Geopolymer Composites and Influence of Input Parameters.
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- Polymers (20734360), 2022, v. 14, n. 12, p. 2509, doi. 10.3390/polym14122509
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- Article
Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models.
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- Polymers (20734360), 2022, v. 14, n. 11, p. 2270, doi. 10.3390/polym14112270
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- Article
Recent Progress, Challenges, and Trends in Polymer-Based Sensors: A Review.
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- Polymers (20734360), 2022, v. 14, n. 11, p. 2164, doi. 10.3390/polym14112164
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- Article
Predicting Bond Strength between FRP Rebars and Concrete by Deploying Gene Expression Programming Model.
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- Polymers (20734360), 2022, v. 14, n. 11, p. 2145, doi. 10.3390/polym14112145
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- Article
Compressive Strength Estimation of Geopolymer Composites through Novel Computational Approaches.
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- Polymers (20734360), 2022, v. 14, n. 10, p. 2128, doi. 10.3390/polym14102128
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- Article
GEP Tree-Based Prediction Model for Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prism.
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- Polymers (20734360), 2022, v. 14, n. 10, p. 2016, doi. 10.3390/polym14102016
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- Article
Ensemble Tree-Based Approach towards Flexural Strength Prediction of FRP Reinforced Concrete Beams.
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- Polymers (20734360), 2022, v. 14, n. 7, p. 1303, doi. 10.3390/polym14071303
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- Article
Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques.
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- Polymers (20734360), 2022, v. 14, n. 1, p. 30, doi. 10.3390/polym14010030
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- Article
Fiber Reinforced Polymer and Polypropylene Composite Retrofitting Technique for Masonry Structures.
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- Polymers (20734360), 2015, v. 7, n. 5, p. 963, doi. 10.3390/polym7050963
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- Article
Computer-Aided Slope Stability Analysis of a Landslide—A Case Study of Jhika Gali Landslide in Pakistan.
- Published in:
- Sustainability (2071-1050), 2022, v. 14, n. 20, p. N.PAG, doi. 10.3390/su142012954
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- Article
Performance Evaluation of Soft Computing for Modeling the Strength Properties of Waste Substitute Green Concrete.
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- Sustainability (2071-1050), 2021, v. 13, n. 5, p. 2867, doi. 10.3390/su13052867
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- Article
Pozzolanic Potential and Mechanical Performance of Wheat Straw Ash Incorporated Sustainable Concrete.
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- Sustainability (2071-1050), 2019, v. 11, n. 2, p. 519, doi. 10.3390/su11020519
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- Publication type:
- Article
Influence of Mechanically Activated Electric Arc Furnace Slag on Compressive Strength of Mortars Incorporating Curing Moisture and Temperature Effects.
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- Sustainability (2071-1050), 2017, v. 9, n. 8, p. 1178, doi. 10.3390/su9081178
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- Article
Performance Evaluation of Asphalt Modified with Municipal Wastes for Sustainable Pavement Construction.
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- Sustainability (2071-1050), 2016, v. 8, n. 10, p. 949, doi. 10.3390/su8100949
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- Article
A Component-Based Study of the Effect of Diameter on Bond and Anchorage Characteristics of Blind-Bolted Connections.
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- PLoS ONE, 2016, v. 11, n. 2, p. 1, doi. 10.1371/journal.pone.0149490
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- Article
Variation of Pseudomonas aeruginosa in Rainwater Harvesting Systems: Effects of Seasons, Catchments and Storage Conditions.
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- CLEAN: Soil, Air, Water, 2014, v. 42, n. 7, p. 893, doi. 10.1002/clen.201300267
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- Article
Effect of Zinc Sulphate as Foliar Application on the Yield and Quality of Maize.
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- Pakistan Journal of Life & Social Sciences, 2016, v. 14, n. 3, p. 196
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- Article
Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar.
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- PLoS ONE, 2023, v. 17, n. 1, p. 1, doi. 10.1371/journal.pone.0280761
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- Article
Mechanical and Durability Evaluation of Metakaolin as Cement Replacement Material in Concrete.
- Published in:
- Materials (1996-1944), 2022, v. 15, n. 22, p. 7868, doi. 10.3390/ma15227868
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- Article
Application of Soft-Computing Methods to Evaluate the Compressive Strength of Self-Compacting Concrete.
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- Materials (1996-1944), 2022, v. 15, n. 21, p. 7800, doi. 10.3390/ma15217800
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- Article
In-Depth Analysis of Cement-Based Material Incorporating Metakaolin Using Individual and Ensemble Machine Learning Approaches.
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- Materials (1996-1944), 2022, v. 15, n. 21, p. 7764, doi. 10.3390/ma15217764
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- Article
Predicting the Compressive Strength of Concrete Containing Fly Ash and Rice Husk Ash Using ANN and GEP Models.
- Published in:
- Materials (1996-1944), 2022, v. 15, n. 21, p. 7713, doi. 10.3390/ma15217713
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- Article
Prediction of Autogenous Shrinkage of Concrete Incorporating Super Absorbent Polymer and Waste Materials through Individual and Ensemble Machine Learning Approaches.
- Published in:
- Materials (1996-1944), 2022, v. 15, n. 21, p. 7412, doi. 10.3390/ma15217412
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- Article
Evaluating the Strength and Impact of Raw Ingredients of Cement Mortar Incorporating Waste Glass Powder Using Machine Learning and SHapley Additive ExPlanations (SHAP) Methods.
- Published in:
- Materials (1996-1944), 2022, v. 15, n. 20, p. 7344, doi. 10.3390/ma15207344
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- Article
Investigation of CFRP Reinforcement Ratio on the Flexural Capacity and Failure Mode of Plain Concrete Prisms.
- Published in:
- Materials (1996-1944), 2022, v. 15, n. 20, p. 7248, doi. 10.3390/ma15207248
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- Article
Prediction of Axial Capacity of Concrete Filled Steel Tubes Using Gene Expression Programming.
- Published in:
- Materials (1996-1944), 2022, v. 15, n. 19, p. 6969, doi. 10.3390/ma15196969
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- Article