scholarly journals Mathematical modelling of crushed rock dust concrete: Performance using compressive strength

2021 ◽  
Vol 1197 (1) ◽  
pp. 012071
Author(s):  
V. Bhavana ◽  
N. Venkata Sairam Kumar
Keyword(s):  
Mathematical Model ◽  
Compressive Strength ◽  
Specimen Size ◽  
Crushed Rock ◽  
Mathematical Equation ◽  
Binder Ratio ◽  
Cement Strength ◽  
And Control ◽  
Water To Binder Ratio ◽  
The Relationship

Abstract The paper gives out a mathematical model developed using linear regression statistical method to envisage the 28-day strength of CRD concrete, considering M20, M30 and M40 grades concrete and CRD replacement percentages of 0%, 10%, 20%, 30% and 40% by weight of cement. Strength results of M40, M30 and M20 grades concrete are used to develop the relationship between CRD content and compressive strength. The ratios of compressive strengths between CRD and control concrete (CC) have been related to CRD replacement percentage. The expression, derived is with strength ratios and not with experimental strength values. The mathematical equation developed is independent of the specimen parameters and may be applicable to all types of specimens. The model is considered as it involves non-dimensional variables and is independent of the specimen size, water to binder ratio (w/b) and grade of concrete.

The Relationship between the Strength and the Pore Structures of Cement Paste with Mineral Admixtures

2011 ◽  
Vol 250-253 ◽  
pp. 104-108 ◽  
Author(s):  
Yue Li ◽  
Jun Ling Bao ◽  
Chun E Sui ◽  
Xiu Li Du
Keyword(s):  
Compressive Strength ◽  
Pore Structure ◽  
Cement Paste ◽  
Mapping Function ◽  
Mineral Admixtures ◽  
Hardened Cement ◽  
Cement Pastes ◽  
Binder Ratio ◽  
Water To Binder Ratio ◽  
The Relationship

This paper presents the effects of mineral admixtures and the water to binder ratio (W/B) on the tensile and compressive strength and micro pore structure of hardened cement pastes. The test results show that: with the water to binder ratio increasing, the tensile and compressive strength of cement paste with different mineral admixtures will decrease, air content and mean pore diameter will decrease and the cement paste with the ground blast furnace slag is the lowest. The artificial neural network based on its nonlinear mapping function can fit the relationship between strength and pore structure more accurate than an empirical formula.

scholarly journals Size effect of parallel-joint spacing on uniaxial compressive strength of rock

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257245
Author(s):  
Gaojian Hu ◽  
Gang Ma
Keyword(s):  
Mathematical Model ◽  
Compressive Strength ◽  
Size Effect ◽  
Uniaxial Compressive Strength ◽  
Strength Characteristic ◽  
Characteristic Size ◽  
Stress Strain ◽  
Joint Spacing ◽  
The Relationship

The existence of parallel joints has an impact on the size effect of the uniaxial compressive strength of rock, but the relationship is yet to be obtained. In this paper, the influence of parallel-joint spacing on the size effect and characteristic size of rock uniaxial compressive strength is studied by establishing five types of parallel-joint-spacing simulation schemes. The influence of parallel-joint spacing on the size effect of rock uniaxial compressive strength is explored by analyzing the stress–strain curves of rocks with different parallel-joint spacings and rock sizes. The relationship between the uniaxial compressive strength and the size of the rock with parallel joints and its special mathematical model are obtained, and the particular form of the compressive-strength characteristic size and parallel-joint spacing is obtained.

scholarly journals The Brandon mathematical model describing the effect of calcination and reduction parameters on specific surface area of ex-ADU UO₂ powders

2016 ◽  
Vol 6 (3) ◽  
pp. 54-59
Author(s):  
Trong Hung Nguyen ◽  
Ba Thuan Le
Keyword(s):  
Mathematical Model ◽  
Specific Surface ◽  
Surface Area ◽  
Specific Surface Area ◽  
Uranyl Carbonate ◽  
Proposed Model ◽  
And Control ◽  
The Relationship ◽  
Fabrication Parameters ◽  
Good Agreement

The report “Brandon mathematical model describing the effect of calcination and reduction parameters on specific surface area of UO2 powders” [14] has built up a mathematical model describing the effect of the fabrication parameters on SSA (Specific Surface Area) of ex-AUC (Ammonium Uranyl Carbonate) UO2 powders. In the paper, the Brandon mathematical model that describe the relationship between the essential fabrication parameters [reduction temperature (TR), calcination temperature (TC), calcination time (tC) and reduction time (tR)] and SSA of the obtained ex-ADU (Ammonium Di-Uranate) UO2 powder product has established. The proposed model was tested with Wilcoxon’s rank sum test, showing a good agreement with the experimental parameters. The proposed model can be used to predict and control the SSA of ex-ADU UO2 powders

scholarly journals Strength Conversion Factors for Concrete Based On Specimen Geometry, Aggregate Size and Direction of Loading

2019 ◽  
Vol 8 (2) ◽  
pp. 2125-2130
Keyword(s):  
Compressive Strength ◽  
Aggregate Size ◽  
Concrete Specimen ◽  
Specimen Size ◽  
Shape Effect ◽  
Conversion Factors ◽  
Loading Direction ◽  
Compressive Strength Of Concrete ◽  
The Relationship ◽  
Specimen Shape

The main goal of this study is to find out the effect of effect of specimen shape and size, aggregate size and directions of loading and placement on the compressive strength of M20, M40, M60 and M80 grades of concrete. During the experimental study, different shaped and sized concrete specimens of different concrete mix designs were tested for compressive strength at 28 days. For casting the concrete samples, totally four different moulds were utilized, which were two different sizes of cubes and two different sizes of cylinders. The cubic moulds were 100 and 150 mm. The cylindrical moulds were 150×300 and 100×200 mm. So the relationship between size and shape effect on compressive strength of concrete samples is evaluated. Casted cubes and cylinders are tested for the compressive strength under axial compression on completion of 28 days as per IS: 516-1999.In this study, the effect of specimen sizes, specimen shapes, and placement directions on concrete compressive strengths for various grades widely used is evaluated. In addition, correlations between compressive strengths with size, shape, and placement direction of the specimen are investigated. It was found that with the increase of the size of the concrete specimen, compressive strength tends to decrease. The effect of grade of concrete on the shape effectof the compressive strength decreases as the specimen size increases regardless of strength level. Conversion factors of 0.80 to 0.90 were suggested for converting compressive strength of cylinders to compressive strength of cubes. For cubes, when the placement direction is parallel to the loading direction, the compressive strength is higher than the normal case. As aggregate size increases, compressive strength is found to be increasing.

Analysis of the Effect of Fly Ash on Compressive Strength of Concrete Using Neural Network and Parameter Analysis

2020 ◽  
Vol 995 ◽  
pp. 130-135
Author(s):  
Xiao Yong Wang
Keyword(s):  
Neural Network ◽  
Compressive Strength ◽  
Fly Ash ◽  
Network Model ◽  
Neural Network Model ◽  
Parameter Analysis ◽  
Replacement Ratio ◽  
The Neural Network ◽  
Binder Ratio ◽  
Water To Binder Ratio

Compressive strength is a crucial design index of fly ash blended concrete. This study presents an estimation model to show the effect of fly ash on the strength development of concrete. First, a neural network model is proposed to estimate the compressive strength of fly ash blended concrete. The input variables of the neural network are water-to-binder ratio, fly ash replacement ratio, and curing ages. The output result of the neural network is a strength. The range of water-to-binder ratio is from 0.3 to 0.5, the range of fly ash replacement ratio is from 0 to 0.55, and the range of test age is from 3 days to 180 days. The neural network gives an accurate evaluation of compressive strength. Second, parameter analysis is carried out based on the neural network model. The results of parameter analysis show that the effect of fly ash on strength is dependent on water-to-binder ratio. The using of high-volume fly ash with low water-to-binder ratio concrete is a rational option.

Decision-Making Performance Measurement for a Command and Control Training System

1975 ◽  
Vol 19 (3) ◽  
pp. 315-320
Author(s):  
Thomas J. Hammell ◽  
Alan J. Pesch ◽  
William P. Lane
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Performance Measurement ◽  
Human Performance ◽  
Training System ◽  
System Parameters ◽  
Tactical Decision ◽  
And Control ◽  
The Relationship ◽  
System Effectiveness

A technique has been developed to'provide measurement of tactical decision-making performance. A comprehensibe mathematical model of the system provides an estimate of the system's effectiveness with regard to accomplishing specific interim and ultimate training and tactical objectives. The effectiveness estimate is based on particular system and situation parameters. The relationship between the operator/trainee's behavior and changes in the system parameters enables the system effectiveness values to provide a relative measure of human performance.

Influence of Fly Ash on Abrasion Resistance of Concretes with their Additions

2013 ◽  
Vol 592-593 ◽  
pp. 651-654
Author(s):  
Aneta Nowak-Michta
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Abrasion Resistance ◽  
Test Results ◽  
Reference Test ◽  
Binder Ratio ◽  
Alternative Test ◽  
Water To Binder Ratio ◽  
Standard Tests ◽  
Class F

The influence of fly ash quality and quantity on abrasion resistance of hardened concretes with siliceous fly ash addition is analysed in the paper. Abrasion resistance was measured in two standard tests according to EN 1338: 2005: reference test of the Wide Wheel and alternative test of the Bohme. Cement was replaced with 20, 35, and 50% of Class F siliceous fly ash in three categories of losses of ignition A, B and C by mass. The water to binder ratio, the air-entraining and the workability of mixtures were maintained constant at 0.38, 4.5% and 150 mm respectively. Test results indicated that in both methods, all tested concretes according to EN 1338: 2005 could be classified to 4-the highest class of abrasion resistance. In reference test of the Wide Wheel fly ash quality and quantity not influences abrasion resistance. However, in alternative, Böhme test abrasion resistance lowering with growth quantity of fly ash in binder, while loss of ignition of fly ash no influenced abrasion resistance. There were no correlation between the abrasion resistance and the compressive strength.

Property Optimization of Inorganic Silicon Aluminum Polymer Based on Quadratic Regression and Orthogonal Design

2014 ◽  
Vol 629-630 ◽  
pp. 510-517
Author(s):  
Xiao Ma ◽  
Qiu Hua Rao
Keyword(s):  
Mathematical Model ◽  
Compressive Strength ◽  
Fly Ash ◽  
Performance Optimization ◽  
Orthogonal Design ◽  
Hydration Products ◽  
Quadratic Regression ◽  
Optimal Plan ◽  
Maximum Value ◽  
The Relationship

Because of the dosage of metakaolin and ash fly had a big impact on the performance optimization of inorganic silicon aluminum polymer, using of metakaolin and ash fly can optimize the pore structure and hydration products of inorganic silicon aluminum polymer paste, how to determine the dosage of metakaolin and ash fly of inorganic silicon aluminum polymer reasonably and directly has become a problem in this research needed to be resolved instantly at hand. The current study investigated the relationship between the amounts of metakaolin and fly ash added and the compressive strength of the inorganic silicon aluminum polymer paste, and then established relevant mathematical model using a quadratic regression quadrature combination design. Previous studies have shown that the addition of 13.56% metakaolin and 3% fly ash would be the optimal plan, and that 57.4 MPa would be the maximum value of the compressive strength of the cement paste of inorganic silicon aluminum polymer that could be obtained. Keywords: Inorganic silicon aluminum polymer; Property Optimization; Quadratic Regression and Orthogonal Design

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