Strength Self Research Articles

Effect of Polypropylene Fiber on compressive Strength of Self Compacting Concrete

Effect of Polypropylene Fiber on compressive Strength of Self Compacting Concrete

Experimental Investigation of Compressive Strength of Self Compacting Concrete for Various Powder Content at Different Curing Regime

Experimental Investigation of Compressive Strength of Self Compacting Concrete for Various Powder Content at Different Curing Regime

The strength of self and L2 willingness to communicate: The role of L2 grit, ideal L2 self and language mindset

The introduction of positive psychology to the SLA domain triggered a bulk of research on how learners can thrive and flourish in the language classroom emphasizing the role that character strengths play in the achievement of goals. In this study, we examined character strengths in the context of second language (L2) learning and their role in a critical goal of L2 learning - the Willingness to Communicate (WTC) in the target language. Specifically, we examined the impact of L2 grit, Ideal L2 Self (ILS), and growth language mindset (growth LM) as complex direct and indirect predictors of WTC. Data was collected from 450 Iranian EFL learners with diverse language proficiencies. The predictor of L2 grit, the possible mediators of ILS and Growth LM, and the outcome variable of WTC were modeled in a double latent mediation model. Results indicated that ILS and growth LM fully mediated the relationship between L2 grit and WTC. As such, the study highlighted the role of personal strengths such as grittiness, self-motivation, and a growth LM in the L2 learning context. Finally, future research avenues are suggested based on the findings of this study.

Increasing Compressive Strength of Self Compacting Concrete with MasterGlenium and MasterSure

The growth in development complexity demands innovation in the construction industry. Self-compacting concrete (SCC) can flow and fill mold cavities without additional vibration, offering an efficient solution for structures with complex shapes or tight spaces. In addition, SCC can speed up bonding and simplify workability by adding MasterGlenium and MasterSure superplasticizers. However, its use is limited due to a lack of understanding of the optimal composition of the mixture. The research aims to determine the effect of adding MasterGlenium and Maste Sure in the concrete mixture on the compressive strength of concrete. Experimental research was conducted with a mixture of MasterGlenium additives at 0.25%, 0,30%, 0,35%, 0.40%, and MasterSure 0.30% of the total binder. Slump and compressive strength tests of concrete are carried out to determine workability and quality performance. The research results showed that the optimal concrete mix with the addition of MasterGlenium 0.35% and MasterSure 0.30% was 25.39 Mpa, higher than Normal concrete 15.21 Mpa. The slump test results confirm that the concrete is classified as SCC. This shows the importance of the composition of MasterGlenium and MasterSure superplasticizers on the compressive strength of SCC concrete. So, the results of this research can be used to improve the quality of concrete structure projects.

Development of high strength self compacting concrete with waste glass and waste marble

This research investigates sustainable options for self-compacting concrete (SCC) using waste glass (WG) as a substitute for cement and the addition of marble waste as a filler material. The replacement levels of WG varied from 0 % to 20 %, with increments of 5.0 % while 10 % marble waste was added as filler to improve the SCC flowability. A series of experiments on SCC flow properties, mechanical performance, cracking behavior, failure patterns, and microstructure were conducted. Results indicate that WG increased the flowability of SCC. All the WG substituted mixes fall within the SCC limit and possessed better filling and passing ability. Furthermore, mechanical performance was enhanced with the substitution of WG due to micro-filling and pozzolanic action. Maximum compressive strength was achieved at 10 % substitution of WG which improved the compressive capacity of SCC by 17 % and 20 % more than from the reference SCC blend at 28 and 56 days respectively. However, higher percentages of WG (20 %) decreased the compressive capacity of SCC but still greater than reference SCC. Scanning electron microscopy (SEM) and fourier transform infrared (FTIR) analysis provide visible and chemical proof of the microstructural improvements resulting from pozzolanic reactions and micro-filling action. However, WG slightly improved tensile strength and had no impact on the failure pattern, which resulted in brittle failure without any warnings (cracks). Therefore, the study recommends additional research to improve the tensile strength and avoid brittle failure of WG based SCC by adding fibers.

Effect of Sulphate Attack on Self Compacting Concrete

Many current structures are characterized by the complexity of architecture (various shapes and bends) and a high concentration of reinforcement which often makes it difficult to use concrete with conventional plasticity. Recent researches have been conducted in order to adopt concrete to these structures. The resulting concrete formulations are characterized by better workability, while remaining stable with mechanical properties and durability. This new type of concrete can fit in place under the influence of gravity, hence the term self compacting concrete “SCC”.
 The external attack of sulphate salts is considered as one of the major problems affecting concrete durability. Sulphates are highly soluble salts in the form of sodium sulphate, calcium sulphate, potassium sulphate, and magnesium sulphate. Sulphate attack is a process in which sulphates react with various phases of hydrated cement paste leading to deterioration of the concrete matrix through spalling, softening, and mass loss, which may lead to expansion and loose strength and elasticity. It is recognized as a complex process due to the effect of The aim of this study to demonstrate the change in strength in SCC when the cement is replaced with lime powder and to determine the sulphate attack on the self compacting concrete.
 Compressive strength characteristics for 7days and 28days of the self compacting concrete are determined in which cement is partially replaced with lime powder (0%, 10%, 20%, 30%, 40%) and cured in the sodium sulphate solution.
 To attain the planned objectives of the present investigation, M20 grade self compacting concrete is taken and values of cement replaced with limestone at the percentages of 0%,10%,20%,30% were considered. The total of 48 cubes,48 cylinders were casted.24 cubes and 24 cylinders are cured in normal water and 24 cubes and 24 cylinders are cured in sodium sulphate solution. and determined the compressive strength and split tensile strength values. The developments of compressive and tensile strengths of self compacting concrete at the age of 7and 28 days are investigated. Under the influence of external sulphate attack. The parameters comparing the SCC with normal concrete are increased at the 20% of lime powder replacement after that the parameters decreases gradually.

Behavioural studies on binary blended high strength self compacting geopolymer concrete exposed to standard fire temperature

The production of Ordinary Portland Cement Concrete (OPCC) results in high carbon emissions and energy demand, necessitating the search for eco-friendly alternatives. Geopolymers, which utilize waste materials, are identified as a suitable alternative. Industrial by-products such as Fly Ash (FA), Ground Granulated Blast Furnace Slag (GGBS), and Metakaolin (MK) are used as precursor materials for binary blended High Self-Compacting Geopolymer Concrete (HSGC) production. Two HSGC mixes and one normal strength self-compacting mix are developed for comparison. This study aims to look at the residual strength characteristics of NSGC and HSGC specimens. Binary blended NSGC, HSGC, and temperature exposure are the key factor examined in the present study. The current study aimed to evaluate the residual strength of NSGC and HSGC exposed to temperature exposure using the ISO 834 guidelines. HSGC specimens are divided into four groups based on curing and cooling type: ambient curing, oven curing, air cooling, and water cooling. Mechanical properties such as Compression Strength, Tensile Strength, and Flexural Strength before and after exposure to elevated temperature are evaluated. Microstructural investigations are conducted to examine the internal structure of the binary blended HSGC mixes. The experimental results are validated using Indian code (IS 456), American code (ACI 318), European code (EC2), and Australian code (AS 3600). Compressive strength of the HSGC specimens was severely reduced when subjected to 1029 ℃, resulting in the formation of wider cracks attributed to the degradation of the gel structure. The oven-cured specimens possess 72 to 80% loss in strength, whereas ambient-cured specimens possess 77 to 86% loss in strength. The findings reveal that the binary blended mix FA/MK = 1 exhibits higher strength loss (%) compared to FA/GGBS and FA. Ambient-cured HSGC specimens exhibit higher mass loss than oven-cured HSGC mixes, and water-cooled samples show higher strength loss and wider cracks compared to air-cooled specimens. The scientific value of this study lies in the the fire performance and residual mechanical properties of binary blended HSGC mixes developed under various curing and cooling methods. Also, the experimental results are validated with multiple international codes (American, Australian and Indian Standards). These findings contribute to the understanding on the behaviour of HSGC under elevated temperature conditions by providing valuable insights for the development of eco-friendly concrete alternatives with improved fire performance.

ANALYSIS OF THE EFFECT OF FLY ASH AS FILLER ON THE COMPRESSIVE STRENGTH OF HIGH STRENGTH SELF-COMPACTING CONCRETE

High Strength Self Compacting Concrete is a concrete innovation with the advantage of having high workability and high concrete quality. In this research, fly ash was used as a filler. Tests carried out by using a fly ash with the percentage of 1%, and conducting a slump flow test with a curing time of 14 days. The same percentage of fly ash was also tested using three types of slump tests, namely the slump flow test, l box test and v funnel test with a curing time of 28 days. The specimens are cylindrical with dimensions of 100 mm and 200 mm. The research results with a curing time of 14 days qualified for Self-Compacting Concrete according to EFNARC with a slump flow test value of 700 mm and qualified for High Strength Concrete with an average compressive strength value of 62.14 MPa. The results of the study with a curing time of 28 days obtained Slump Flow Test values ​​of 719 mm, L Box test of 1 cm and V funnel of 19.99 seconds with an average compressive strength of 44.36 MPa at 28 days.

Prediction of Compressive Strength of Self-Compacting Concrete using Machine Learning Techniques

The paper deals with the use of Deep Neural Networks (DNN), Artificial Neural Network (ANN), and Random Forest (RF) for estimating the 28- day compressive strength of self-compacting concrete (SCC) containing silica and filler (fly ash, marble powder, and lime powder) with a comparative performance analysis of all techniques. A total of 179 data were taken from literature already published with eight input variables for modelling. The evaluation and comparison of the performance of predicted models were made using the same datasets in training and testing based on correlation coefficient (CC), Coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). The results showed that proposed model's performance could be improved when training takes place in a Deep Neural Network model with multiple hidden layers. Sensitivity analysis was used to quantify the effect of different variables on concrete strength with coarse aggregate greatly affecting the compressive strength of SCC, followed by fine aggregate content and quantity of silica. A dependable prediction tool is provided through this investigation which suggests that the present model can help scientists and engineers in the optimization of the mixture design of SCC.

Mechanical Properties of High Strength Self Compacting Concrete Based on Rheological Mix Proportioning

Abstract The main problem is to raise the standard of construction, rethinking concrete's expanding potential as a construction material. The scarcity of river sand as a fine aggregate ingredient is currently a widespread issue for many concrete plants. As a result, quarried stones that were accessible locally were used as fine aggregate. Crushed Rock Particles, also known as crushed sand, performs better in terms of fresh characteristics since there are more fines present in CRF than in river sand. The current study additionally examines the relationship between plastic viscosity and the fresh and hardened SCC properties. As a partial substitute for Ordinary Portland Cement, Fly Ash and Ground Granulated Blast Slag blends are used to generate binary and ternary. The experimental tests satisfactorily validate the suggested blend design. The results shown that SCC mixture with ternary blend, binary blend with GGBS, fly ash, and blend with pure OPC are suitable for creating fresh characteristics. Additionally, it was found that a cohesive and workable mix was produced when 100 % CRF was used in place of sand.

Investigation on Strength Characteristics of Self Compacting Concrete incorporated with AR Glass Fibers

This project presents the experimental study on self-compacting concrete (SCC) with replacement of cement by various percentage of Silica Fume and Fly Ash. The main objective is to determine the Flexural strength, Compressive strength and Split tensile strength of Self compacting concrete by partial replacement of cement by Silica Fume and Fly Ash. The use of fly ash in concrete today is an important subject and is of growing importance day by day. Using fly ash in concrete many provide both economic advantages and enhanced properties in the production of concrete. The addition of super plasticizer increases the workability of concrete. The work involves making seven types of SCCs mixes. For each mix preparation, twenty-one cube specimens, twenty-one-cylinder specimens and twenty-one beam specimens are cast and cured. The specimens are cured in water for 7 days, 14 days and 21 days. The results show that SCC with 5% SF and 10% gives higher values of Compressive strength, Split Tensile strength and Flexural Strength compared to other percentages of Silica Fume and Fly Ash. According to the SCC result, various percentages of AR Glass Fiber (0.1% to 0.4%) added with the optimum SCC (5% of SF+ 10% of FA) and super plasticizer is mixed with optimum SCC. After each mix proportion, specimens are cast and cured for 28 days in water and hardened properties are determined. The results show that the higher the percentage of glass fiber, the higher the values of concrete Compressive strength, Split Tensile Strength and Flexural Strength.

Sustainable Fast Setting Early Strength Self Compacting Concrete(FSESSCC) Using Metakaolin

Sustainability in construction, using concrete as construction material, is initiated to obtain through cement, i.e. binder, optimisation and by application of secondary cementitious materials(SCMs) as component substitute of cement. The cement production industry has previously attained notable improvements in sustainability by use of byproducts of various industries as SCMs through blending suitable materials, like ferro silicon industrial by product mirco silica, steel industry by product finely ground granulated blast furnace slag, thermal power industry byproduct fly ash etc., to diminish the CO2 emission from the manufacturing plants of cement. Pozzolanicity and pore- filling qualities are the two pre requisite characteristics of the SCMs so they can play effective role in reducing the cement quantity in concrete and there by achieve sustainability. But as these quality features are inadequate in most of the industrial waste byproducts as they are not purposefully/specifically/ precisely manufactured but they are only the byproducts of industries produced as a process of manufacturing some products like steel, ferro silica alloys etc., or using some other materials like coal for producing energy. Also these SCMs are globally not obtainable everywhere. Construction industry is thus struggling with considerable cement consumption in its various activities and there by releasing enormous amounts of CO2 emissions, consumption of natural resources thereby depleting the same and increase in cost of cement production due to imposed green tax and shortage of suitable raw materials. Therefore, there is an emergent preference towards finding out various substitutive inorganic binders from native sources for partly substituting cement in concrete construction. One of the solutions to achieve sustainability in concrete construction is to use moderate reactive SCMs like flyash(FA), GGBFS(ground granulated blast furnace slag) in higher quantity and reactive SCMs like SF etc., so that demerits of slow setting and late strength gain in concrete prepared with moderate SCMs like GGBFS,fly ash etc., can be compensated by reactive SCMs,in lower quantities. Recently clays are observed to be an ample possibility as a promising reactive SCMs as they are richer in alumina and silica, and have good pozzolanic properties in definite raw, calcination situations or surface alterations forms for producing sustainable concretes with lower expenses and more eco-friendliness. In this study experimental investigation presented on the utilisation of metakaolin (MK), a high reactive SCM, in combination with GGBFS, a moderately reactive SCM, in the development of fast setting early strength sustainable self consolidating concrete(SCC) intended to use in fast track repairs/construction. Influence of MK on properties in fresh state and solidified state of SCC were studied and its effect on durability characteristics of SCC established.

Influence of blends of alkali resistant fibres and polypropylene fibres on fresh and hardened properties of early strength self compacting concrete

Influence of blends of alkali resistant fibres and polypropylene fibres on fresh and hardened properties of early strength self compacting concrete

Analysis and Study of High Strength Self Compacting Concrete by Using Chemical and Mineral Admixtures

Analysis and Study of High Strength Self Compacting Concrete by Using Chemical and Mineral Admixtures

Analysisand Studyof High Strength Self Compacting Concrete by Using Chemicaland Mineral Admixtures

Analysisand Studyof High Strength Self Compacting Concrete by Using Chemicaland Mineral Admixtures

Comparative Study on Strength and Durability Properties of High Strength Self Compacting Concrete With and Without Steel Fibres

Abstract: This paper presents an experimental program to investigate the strength and durability properties of high-strength selfcompacting concrete (HSSCC) with and without steel fibers. The research work is divided into two approaches. These approaches are the development of (HSSCC) by making different trials and then studying mechanical and durability properties. Crimped-type steel fibers are used. Fly ash and Alccofine have been used as mineral admixtures to fulfil the power requirement. Chemical admixture has also been used for workability. The test results of plain and fibrous HSSC concrete indicated that steel fiber increases the tensile strength and makes concrete more durable and impermeable Keywords: HSSCC, alccofine, tensile strength, durability

To predict the compressive strength of self compacting concrete with recycled aggregates utilizing ensemble machine learning models

This study aims to apply machine learning methods to predict the compression strength of self-compacting recycled aggregate concrete. To obtain this goal, the ensemble methods: Random Forest (RF), K-Nearest Neighbor (KNN), Extremely Randomized Trees (ERT), Extreme Gradient Boosting (XGB), Gradient Boosting (GB), Light Gradient Boosting Machine (LGBM), Category Boosting (CB) and the generalized additive models: Inverse Gaussian (GAM1) and Poisson (GAM2) were applied. For the development of the models, 515 research article samples were collected and divided into three subsets: training (360), validation (77), and testing (78). The SCC components: cement, water, mineral admixture, fine aggregates, coarse aggregates, and superplasticizers were taken as input variables and compression strength as output variables. To determine the ability of the models to project compressive strength, the following metrics were used: R2, RMSE, MAE, and MAPE. The results indicate that the RF (R2 = 0.7128, RMSE = 0.0807, MAE = 0.06) and GB (R2 = 0.6948, RMSE = 0.0832, MAE = 0.0569) models have a strong potential to predict the compressive strength of SCC with recycled aggregates. The sensitivity analysis of the RF model indicates that cement and water are the variables that have the highest impact in predicting the compressive strength, while coarse aggregate has the lowest impact.

Split Tensile Strength of Self Compacting Concrete with Artificial Lightweight Aggregate

Earthquake damage to buildings is directly proportionate to the weight of the structure. Selfcompacting concrete is a type of concrete that can consolidate without the use of vibrator. To minimize damage structures caused by earthquakes, infrastructure development needs lighter materials and superior workmanship. Lightweight aggregate can reduce weight of the structure, SCC with ALWA is a solution to reduce dead load of the structure with ease of execution. The purpose of this study is to see how much the split tensile strength influences the composition of ALWA as coarse aggregate substitute in Normal Concrete and SCC. The proportions of ALWA that substituted into concrete were 0%, 15%, 50% and 100%. There are 24 cylindrical specimens, each measuring 100 mm in diameter and 200 mm in height. The analysis was carried out using ASTM C 496/C 496M. The results of split tensile strength show that the higher variation in the composition of ALWA, the lower split tensile strength produced. The addition of ALWA as a substitute for coarse aggregate in a mixture of normal and SCC concrete was most effective at 15% ALWA with a split tensile strength of normal concrete 2.23 MPa and SCC 2.32 MPa.

Prediction on Flexural strength of High Strength Hybrid Fiber Self Compacting Concrete by using Artificial Intelligence

The primitive focus of this research work is about the artificial intelligence methods engaged for creating an outlook for flexural strength of High Strength Hybrid Fiber Self Compacted Concrete (HSHFSCC), which is considered to be a special concrete in order to tackle both workability and durability without disturbing the strength of the concrete. It possesses not only the good deformability during fresh state but also put forward high aversion to segregation resulting in superior homogeneity and increase in productivity by altering the period of construction. While incorporating various fibers like glass, steel, carbon, synthetic, and quartz powder in plain concrete, directs in the enhancement of post-cracking, toughness, ductility and limits the detrimental effect of shrinkage. The current work is classified into two stages. 1) Development of HSHFSCC and High Strength Self Compacting Concrete (HSSCC). 2) Engaging different Machine Learning (ML) models to divide the obtained information into Train, Test and Validation followed by 19 types of different ML regression models accompanied with Artificial Neural Network for engaging the function to appropriate the flexural strength of HSHFSCC and HSSCC. The boundary conditions discussed as input includes Setting time, percentage of quartz and river sand. Total 25 number of datasets are used for 5-fold cross validations by adopting MATLAB ML and Deep learning toolkit and Python is adopted to validate the optimized models. The evaluation factors like R-square and Root mean square show a great level of accuracy and reliability of the model.

Studies on the effects of basalt fibres on the durability characteristics of high strength self compacting concrete

Basalt is an extrusive volcanic rock, which is easily obtainable. Basalt fibres are called biologically inactive, non-toxic and eco-friendly materials. Using fibres in concrete gives rise to fibre-reinforced concrete which is known to increase the mechanical properties and durability properties of the concrete. In this study the effect on the durability properties of High strength Self Compacting concrete are analysed by subjecting the specimens to an Acidic environment like Hydrochloric acid (HCL), Nitric acid (HNO3) and Sulfuric acid (H2SO4), and in a Base environment like Sodium Hydroxide (NaOH), Sodium Sulphate (Na2SO4), Magnesium Sulphate (MgSO4), in 5% concentration of each, with 3 different aspect ratio viz., 350, 530 and 600, with a dosage of 0.2% by the volume of concrete and then the properties such as mechanical, dimensional stability and mass loss were determined.