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Prediction of compressive strength of concrete under various curing conditions: a comparison of machine learning models and empirical mathematical models
Considering the pivotal role of compressive strength in assessing concrete quality, accurately predicting it is essential for guiding construction...
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IoT system implementation for real-time concrete strength prediction: experimental design, variance evaluation, cost analysis, and implementation ease
Concrete is one of the most widely used building materials due to its durability and cost-effectiveness. Accurate prediction of its compressive...
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Machine learning techniques for prediction of failure loads and fracture characteristics of high and ultra-high strength concrete beams
The construction sector benefits from the development of artificial intelligence (AI) systems because they can more accurately forecast the...
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Sugar industry waste produced geopolymer concrete and its compressive strength prediction via statistical analysis and artificial intelligence approach
Concrete innovations of the highest caliber have contributed in the development of cementless geopolymer concrete (geo-con) that is sustainable and...
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Prediction on compressive strength of hybrid textile reinforced concrete using response surface methodology
This paper uses a hybrid combination of interlayer or a layer-by-layer composite of Alkali-Resistant (AR) Glass and Aramid fibre meshes as...
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Prediction of the compressive strength of concrete made with soap factory wastewater using machine learning
In recent years, the reuse of wastewater for making concrete has become a major issue for actors in the field of civil engineering. This paper used...
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Comparison of artificial neural network and hierarchical regression in prediction compressive strength of self-compacting concrete with fly ash
This study aims to predict and model the compressive strength of self-compacting concrete (SCC) across various fly ash content ranges. The research...
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A comparative study of machine learning algorithms for the prediction of compressive strength of rice husk ash-based concrete
The cementitious behavior of Rice Husk Ash (RHA) has caused its possible addition as a replacement material for cement which has been proven to...
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Compressive strength prediction of ternary blended geopolymer concrete using artificial neural networks and support vector regression
The development of ternary blended geopolymers is one of the recent advancements in geopolymer concrete technology, which utilizes different source...
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Evaluation of the compressive strength of polypropylene fiber reinforced high-strength concrete support with AI-based model
This study extensively examines the effects of introducing polypropylene fibers on the mechanical properties of high-strength concrete and develops...
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Bond strength behaviour of high strength structural lightweight concrete containing steel fibres with different geometries
This study was undertaken to investigate the bond strength behaviour of high strength lightweight concrete containing steel fibres in different...
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Predicting the impact strength and chloride permeability of concrete made with industrial waste and artificial sand using ANN
Large-scale cement and natural fine aggregate use in construction has negative environmental effects. Considering this issue in this study crushed...
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Statistical analysis for evaluating concrete strength of existing structure using non-destructive and destructive test
Destructive tests for evaluating concrete compressive strength are costly and challenging in certain instances. Using a rebound hammer (RH) and...
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Comparative analysis of intelligent models for predicting compressive strength in recycled aggregate concrete
The construction industry’s shift towards sustainable practices has spurred interest in innovative materials, with Recycled Aggregate Concrete (RAC)...
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Chlorine salt influence on durability and strength of additive-free EPS lightweight concrete
This study explores the formulation of lightweight concrete (LWC) by incorporating expanded polystyrene (EPS) pearls as a partial replacement for...
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Prediction of the mechanical strength of concrete containing glass powder as partial cement replacement material
This critical review aims to investigate the effect of utilizing glass powder in concrete as partial replacement for Portland cement and serve in...
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Shear strength prediction of steel fiber-reinforced concrete beams without stirrups
Understanding the shear strength behavior of steel fiber-reinforced concrete (SFRC) is considered complex due to various parameters involved,...
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Machine learning techniques for recycled aggregate concrete strength prediction and its characteristics between the hardened features of concrete
This study aims to arrive at models to correlate the mechanical properties of recycled aggregate concrete (RAC). An experiment was performed on the...
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Experimental investigation and comparative machine learning prediction of the compressive strength of recycled aggregate concrete incorporated with fly ash, GGBS, and metakaolin
Recycled aggregates (RA) can provide a sustainable solution for replacing natural aggregates (NA) in the concrete mix. However, the stakeholders and...
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Prediction of fly ash concrete type using ANN and SVM models
Fly ash concrete manufactured by partly replacing cement with fly ash has evolved into higher strengths to promote large scale sustainable...
