scholarly journals Implementing The Multi Expression Programming, Nonlinear Regression, Artificial Neural Network, and M5P-Tree Models to Predict The Long-Term of Compressive Strength of Cement- Mortar Modified With Fly Ash

2022 ◽  
Author(s):  
Aso Abdalla ◽  
Ahmed Mohammed
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Compressive Strength ◽  
Fly Ash ◽  
Nonlinear Regression ◽  
Cement Mortar ◽  
Cement Ratio ◽  
Water Cement Ratio ◽  
Tree Models ◽  
Multi Expression Programming

Abstract In the recent decade, supplementary cementing ingredients have become an essential part of various strength ranges of concrete and cement-mortar mix design. Examples are natural materials, by-products, industrial wastes, and materials that require less energy and time to generate. Fly ash is one of the most widely utilized additional cementing ingredients. Fly ash is a by-product substance produced by coal combustion. It's being used in cement mortar and concrete as a pozzolanic substance. It has demonstrated significant influence in improving liquid and solid properties of cement mortar, such as compressive strength. Multi Expression Programming (MEP) is employed in this study to estimate the compressive strength (CS) of cement mortar modified with fly ash. The outcomes of this model were compared and evaluated with several other models such as the Nonlinear Regression model (NLR), Artificial Neural Network (ANN), and M5P-tree models that have been used in the construction fields. The input parameters included water/cement ratio (w/c), curing time (t days), and fly ash content (FA %), while the target property was compressive strength up to 360 days of curing. Four hundred fifty (450) data are collected from previous literature on modifying cement mortar with fly ash for that purpose. The water/cement ratio ranged from 0.24 to 1.2, and the fly ash was used to replace cement up to 55% (%wt. of dry cement). Based on the Coefficient of Determination (R2), Root Mean Squared Error (RMSE), Scatter Index (SI), Objective (OBJ), Mean Absolute Error (MAE), t-test value, the uncertainty of 95%, Performance Index (ρ), and boxplot for actual and predicted compressive strength. The MEP model performed better than other developed models according to evaluation tools. The compressive strength was also correlated with flexural and splitting tensile strengths using different nonlinear models.

scholarly journals Using Artificial Neural Networks Approach to Estimate Compressive Strength for Rubberized Concrete

2018 ◽  
Author(s):  
Rahali Bachir ◽  
Aissa Mamoune Sidi Mohammed ◽  
Trouzine Habib
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Compressive Strength ◽  
Crumb Rubber ◽  
Rubberized Concrete ◽  
Computing Technique ◽  
Cement Ratio ◽  
Water Cement Ratio ◽  
Tire Chips ◽  
Artificial Neural

Artificial neural network (ANN) is a soft computing technique that has been used to predict with accuracy compressive strength known for its high variability of values. ANN is used to develop a model that can predict compressive strength of rubberized concrete where natural aggregate such as fine and coarse aggregate are replaced by crumb rubber and tire chips. The main idea in this study is to build a model using ANN with three parameters that are: water/cement ratio, Superplasticizer, granular squeleton. Furthermore, the data used in the model has been taken from various literatures and are arranged in a format of three input parameters: water/cement ratio, superplasticizer, granular squeleton that gathers fine aggregates, coarse aggregates, crumb rubber, tire chips and output parameter which is compressive strength. The performance of the model has been judged by using correlation coefficient, mean square error, mean absolute error and adopted as the comparative measures against the experimental results obtained from literature. The results indicate that artificial neural network has the ability to predict compressive strength of rubberized concrete with an acceptable degree of accuracy using new parameters.

Research of Performance of Low Amount of Cement Manufactured-Sand Concrete

2013 ◽  
Vol 357-360 ◽  
pp. 1200-1205
Author(s):  
Chun Hui Yu ◽  
Gu Hua Li ◽  
Jin Liang Gao ◽  
Qun Wei ◽  
Da Zhen Xu
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Grain Shape ◽  
Great Influence ◽  
Cementitious Materials ◽  
Natural Sand ◽  
Cement Ratio ◽  
Water Cement Ratio ◽  
Manufactured Sand

Compared with natural sand, manufactured-sand is of small porosity, poor grain shape and graded, which impacts mixes workability and the properties after hardening. In Concrete, playing the role of retaining moisture water is mainly powder, including cement, powder in the sand and fly ash etc. The amount of powder has a great influence on the properties of concrete, especially on its workability. This paper mainly discusses the influence of amount of cement, cementitious materials, fly ash, water-cement ratio and other factors on the workability, compressive strength and shrinkage of concrete. The experiments show that, in the case of the low amount of cement, workability of the manufactured-sand concrete mixture, compressive strength and shrinkage deformation of test block all meet the actual requirements.

THE EFFECT OF ADDITION NANOPARTICLES ON SHRINKAGE PROPERTY OF ORDINARY PORTLAND CEMENT

2021 ◽  
Vol 25 (Special) ◽  
pp. 2-78-2-82
Author(s):  
Haider K. Ahmed ◽  
◽  
Mohammed A. Abdulrehman ◽  
Keyword(s):  
Compressive Strength ◽  
Carbon Black ◽  
Portland Cement ◽  
Cement Mortar ◽  
Cement Ratio ◽  
Water Cement Ratio ◽  
Carbon Black Nanoparticles ◽  
Flow Table ◽  
Compressive Strength Test ◽  
Negative Effect

Two types of nanomaterial: Tio2 nanoparticles (NPs) and carbon black NPs have used in this research to study their effect on compressive strength, shrinkage and flow table tests Cement mortar. The mixing ratio was 1:2.7:0.485 (cement, sand, water/cement ratio) for compressive strength test and 1:2 (cement, sand) with the water/cement ratio was a variable value for dry shrinkage test. The two nanoparticles’ ratios are (0.25%, 0.75%, 1.25 % and 1.75%) by weight of the Portland cement. The test results show that the highest value of compressive strength was obtained when using Tio2 at 1.25% wt. of cement. But when using carbon black nanoparticles, the greatest value was obtained when adding it with a ratio of 1.75 % wt. of cement. Using two NPs when added to cement mortar has a negative effect on the shrinkage value.

Evaluation of Fly Ash on the Basis of Mass Equivalent, Maturity Equivalent and Permeance

1985 ◽  
Vol 65 ◽  
Author(s):  
R. H. Mills
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Portland Cement ◽  
Gas Flow ◽  
Concrete Mixture ◽  
Cement Ratio ◽  
Water Cement Ratio ◽  
Efficiency Factors ◽  
Gas Tightness

ABSTRACTCombinations of two types of commercially available Fly Ash (FA) and Portland cement (PC) were tested for compressive strength and permeance to gas flow. The cementitious components were combined in the concrete mixture in proportions PC/FA = 100/0, 75/25, 60/40 and 45/55 for a range of water/cement ratio, and equal workability. Strength and maturity efficiency factors were satisfactory for 75/25 and 60/40 blends. Gas tightness was improved at all levels of Fly Ash substitution.

Research on Static Compressive Experiment of Concrete Mixed with Limestone Power and Fly Ash

2013 ◽  
Vol 405-408 ◽  
pp. 2801-2805
Author(s):  
Ji Feng Liang ◽  
Lei Lv ◽  
Feng Wang
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Test Method ◽  
Limestone Powder ◽  
Experimental Result ◽  
Enhancement Effect ◽  
Cement Ratio ◽  
Water Cement Ratio ◽  
Orthogonal Test Method ◽  
Powder Content

The use of orthogonal test method, the concrete mixed with limestone power and fly ash was carried out static compressive experiment, and contrast with the experiment of single doped with limestone powder and fly ash concrete. The experimental result demonstrated that the compressive strength enhancement effect of the concrete mixed with limestone power and fly ash was obvious. The importance of each factor affecting static compressive strength as follows: water-cement ratio, the amount of fly ash, the amount of limestone powder, sand ratio. The concrete compressive strength reached the maximum when the water-cement ratio reached 0.3, the limestone powder content reached 15%, the fly ash content reached 10%, and sand ratio reached 34%.

The Properties of Nanocarbontubes Cement Mortar Incorporating Mineral Additives

2014 ◽  
Vol 875-877 ◽  
pp. 383-387 ◽  
Author(s):  
Teuku Ferdiansyah ◽  
Hashim Abdul Razak
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Silica Fume ◽  
Rice Husk ◽  
Electrical Resistance ◽  
Rice Husk Ash ◽  
Cement Mortar ◽  
Cement Content ◽  
Cement Ratio ◽  
Mineral Additives

The purpose of this paper is to discuss the influence of mineral additives i.e. metakaolin, silica fume, rice ash and fly ash incorporating with nanocarbontubes mortar composites. The effects on compressive strength at 28 days were also discussed and presented. Cement content of 500 kg/m3, water/cement ratio of 0.6 and aggregate/cement ratio of 2.75 were adopted for the mix propotion. 1%, 3% and 5% of nanocarbontubes in mortar were combined with 15% of mineral additives. The results show that mixtures of nanocarbontubes with 15% of metakaolin produce better strength compared to normal mortar. Meanwhile with addition of fly ash and rice husk ash the strength were decreased. The electrical resistance for all mixes at 28 days were also discussed and presented. The higher percentages of nanocarbon with addition of all mineral additives resulted in lower electrical resistance properties

Study on Reuse of Wasted Diatomite from Brewing Industry for Building Materials

2020 ◽  
Vol 845 ◽  
pp. 73-78
Author(s):  
Yeng Fong Shih ◽  
Wei Cheng Hou ◽  
Venkata Krishna Kotharangannagari
Keyword(s):  
Compressive Strength ◽  
Organic Matter ◽  
Thermogravimetric Analysis ◽  
Building Materials ◽  
Cement Mortar ◽  
Brewing Industry ◽  
Cement Ratio ◽  
Water Cement Ratio ◽  
The Cost ◽  
Average Compressive Strength

In order to solve environmental problems and reduce the cost of building materials, this study used waste diatomite from brewing industry to develop novel cement mortar and compared it with pristine one. After pretreatment with water, soaking, drying, it is shown in the microscope that the treated diatomite has recovered its porosity. The thermogravimetric analysis also showed that the purity of treated diatomite was greater than 93%, confirming that most of the originally adsorbed organic matter was removed. Further, the diatomite after the treatment was used to prepare a novel cement mortar, and it was found that the optimum compressive strength was obtained when the water-cement ratio was 0.65 and the amount of diatomite added was 20%. It was found that the average compressive strength after 28 days was 284.03 kg/cm2, which was 81.22 kg/cm2 higher than that of the pristine cement mortar. It is proved that the addition of diatomite can increase the strength of the cement mortar and effectively reuse the waste diatomite.

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