Optimization of Compressive Strength of Reactive Powder Concrete for an Energy Storage Pile Application Using Response Surface Method

2019 ◽  
Vol 950 ◽  
pp. 117-122
Author(s):  
Umut Bektimirova ◽  
Eldar Sharafutdinov ◽  
Aidana Tleuken ◽  
Chang Seon Shon ◽  
Di Chuan Zhang ◽  
...  
Keyword(s):  
Compressive Strength ◽  
Energy Storage ◽  
Response Surface ◽  
Response Surface Method ◽  
Plain Concrete ◽  
Linear Interpolation ◽  
Reactive Powder Concrete ◽  
Surface Method ◽  
Binder Ratio ◽  
Reactive Powder

The main goal of this study was to optimize the compressive strength of reactive powder concrete (RPC) for an energy storage pile application using response surface method (RSM). The compressive strength of 9 different RPC mixtures along with 3 plain concrete mixtures was determined. Silica fume (SF) content and the water-to-binder ratio (w/b) were selected as parameters to influence the compressive strength of the concrete mixture. RSM regression analysis was used to develop a prediction model of compressive strength. Based on test results and linear interpolation, the combination of 20.46% SF and w/b=0.20 was determined to achieve the highest compressive strength.

scholarly journals Design Optimization of Rubber-Basalt Fiber- Modified Concrete Mix Ratios Based on a Response Surface Method

2020 ◽  
Vol 10 (19) ◽  
pp. 6753
Author(s):  
Yafeng Gong ◽  
Jiaxiang Song ◽  
Siyuan Lin ◽  
Jianxing Yang ◽  
Yang He ◽  
...  
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Basalt Fiber ◽  
Fiber Content ◽  
Quadratic Term ◽  
Rubber Content ◽  
Surface Method ◽  
Rsm Optimization ◽  
Binder Ratio ◽  
Water Binder Ratio

Rubber aggregates produced from waste rubber materials and environmentally friendly basalt fibers are excellent concrete modification materials, which significantly improve the working performance and mechanical properties of concrete. This paper studied the influences of water-binder ratio, basalt fiber content and rubber content on the properties of rubber-basalt fiber modified concrete (RBFC). Based on the response surface method (RSM), optimization schemes of three preparation parameters were designed. The results showed that all preparation parameters have significant impacts on the slump. The rubber content has a closer relationship with the compressive strength and the quadratic term of the basalt fiber content has a significant impact on the flexural strength. According to the analysis, the optimal mix ratio which possesses reliable accuracy compared with experimental results includes a water-binder ratio of 0.39, a basalt fiber content of 4.56 kg/m3 and a rubber content of 10%,

scholarly journals Experimental Study on Proportioning Optimized Ultra-Fine Aggregate Cementing Materials with Full Gold Tailings Using Response Surface Method

2021 ◽  
Author(s):  
Jingyi Liu ◽  
Zhenjun Zhou ◽  
Zhihua Sun ◽  
Jiuran Wen ◽  
Kaiping Liu
Keyword(s):  
Compressive Strength ◽  
Response Surface ◽  
Response Surface Method ◽  
Concrete Strength ◽  
Reducing Agent ◽  
Relative Mass ◽  
Fine Aggregate ◽  
Visual Model ◽  
Surface Method ◽  
Negative Linear Correlation

In order to prepare the ultra-fine full gold tailing aggregate cementing materials, the gold tailing powders were mixed with cement under different proportions. Then the effect of sand quantity, water quantity and dosage of water-reducing agent on the compressive strength of the full tailing aggregate cementing materials was studied using response surface method in Design-Expert software. Based on the regression analysis of test results, a visual model was provided. The research results show that when the relative mass dosage of cement is 1, the amount of sand is greater than 1.1, the amount of water is greater than 0.24, and the amount of water reducing agent is 0.01. The 7d compressive strength of tailings concrete shows a significant negative linear correlation with the amount of sand and water. That implays the concrete strength decreases with the increase of the amount of sand and water. When the relative mass of cement is 1, the maximum 7d strength of concrete appears at the relative mass of sand 1.0, the amount of water is 0.22, and the amount of water reducer is 0.01. The maximum 7d compressive strength is about 75.43MPa.

scholarly journals Effect of silica fume/binder ratio on compressive strength development of reactive powder concrete under two curing systems

2018 ◽  
Vol 162 ◽  
pp. 02022 ◽  
Author(s):  
Mohammed Abed ◽  
Mohammed Nasr ◽  
Zaid Hasan
Keyword(s):  
Compressive Strength ◽  
Silica Fume ◽  
Hot Water ◽  
Reactive Powder Concrete ◽  
Strength Development ◽  
Accelerated Curing ◽  
Binder Ratio ◽  
Compressive Strength Development ◽  
Reactive Powder ◽  
Curing Systems

This paper aims to investigate the influence of Silica fume proportion ratio in respect to the total amount of binder on compressive strength of reactive powder concrete cured in two curing systems. Four ratios of Silica fume (0%, 15%, 25% and 35%) as replacement of cement weight were considered. After de-molding, two curing systems were used: the first included immersing the cubic specimens in water at 24 ± 2°C until the test. In the second, the specimens were immersed in hot water at 105 ± 5°C (accelerated curing) for 48 hours, then in water at 24 ± 2°C until the test. The results show that mix which contains 25% Silica fume imparts more enhancement on compressive strength as compared to the control mix. Also, it was found that the second system of curing has more influence on compressive strength development than the first one, especially at earlier ages.

Behavioral Prediction of Reactive Powder Concrete Based on Artificial Neural Network

2010 ◽  
Vol 168-170 ◽  
pp. 1030-1033
Author(s):  
Tao Ji ◽  
Yi Zhou Zhuang ◽  
Bao Chun Chen ◽  
Zhi Bin Huang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Compressive Strength ◽  
Diffusion Coefficient ◽  
Chloride Diffusion ◽  
Reactive Powder Concrete ◽  
Chloride Diffusion Coefficient ◽  
Binder Ratio ◽  
Artificial Neural ◽  
Reactive Powder

Based on orthogonal array testing strategy (OATS), the effects of sand-binder ratio (S/B), water-binder ratio (W/B), and the ratio of steel fiber volume to reactive powder concrete (RPC) volume (STF/R) on the compressive strength and chloride diffusion coefficient of RPC were investigated using an artificial neural network method. Research results reveal that the compressive strength of RPC approaches summit when STF/R is 2% or W/B is 0.18-0.2%, and decreases with the increasing of S/B. Furthermore, the chloride diffusion coefficient increases with W/B or STF/R and decreases with S/B.

An Improvement of the Response Surface Method Based on Successive Linear Interpolation

2012 ◽  
Vol 532-533 ◽  
pp. 724-727
Author(s):  
Wei Tao Zhao ◽  
Tian Jun Yu ◽  
Yi Yang
Keyword(s):  
Reliability Analysis ◽  
Response Surface ◽  
Response Surface Method ◽  
Structural Reliability ◽  
Linear Interpolation ◽  
Computational Effort ◽  
Computational Burden ◽  
Surface Method ◽  
Interpolation Technique ◽  
The Common

The response surface method (RSM) is widely used to alleviate the computational burden of engineering analyses. For reliability analysis, the common approach in the RSM is to use a linear interpolation technique. However, the experimental points are all arranged using the classical RSM in each process of interpolation. Therefore, the number of experimental points is large that resulting in the efficiency is lower. In this study, an improvement of the RSM for structural reliability analysis has been proposed based on the technique of successive linear interpolation. As seen from the example, the proposed method yields better results than those of the classical RSM, and the number of experimental points using the proposed method is less than that of classical RSM. It seems that the proposed method improves the convergence speed and reduces the computational effort.

scholarly journals Effect of Fly Ash on Some Properties of Reactive Powder Concrete

2021 ◽  
Vol 27 (11) ◽  
pp. 32-46
Author(s):  
Zahraa F Muhsin ◽  
Nada Mahdi Fawzi
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Compressive Strength ◽  
Fly Ash ◽  
Industrial Wastes ◽  
Experimental Program ◽  
Reactive Powder Concrete ◽  
Binder Ratio ◽  
Reactive Powder ◽  
Water To Binder Ratio

To achieve sustainability in the field of civil engineering, there has become a great interest in developing reactive powder concrete RPC through the use of environmentally friendly materials to reduce the release of CO2 gas produced from cement factories as well as contribute to the recycling of industrial wastes that have a great impact on environmental pollution. In this study, reactive powder concrete was prepared using total binder content of 800 kg/m3, water to binder ratio (0.275), and micro steel fibers  1% by volume of concrete. The experimental program included replacing fly ash with (8, 12, 16) % by cement weight to find the optimal ratio, which achieved the best mechanical properties of (RPC) at 7, 28, and 90 days with standard curing. Some mechanical properties of reactive powder concrete (flow, compressive strength, tensile strength, and density) were verified. The results at 28 days showed that the compressive strength (96.5) Mpa, tensile strength (9.38) Mpa, and density (2395 kg/m3). The results showed that the percentage of replacement of 8% of fly ash with cement is the optimal percentage, which achieved the highest resistance compared to the others. The results also indicated that it is possible to develop RPC using fly ash with a high withstand stress, tensile strength, and density.

A Proposal of PSO with Presumption Function of the Solution Landscape by Response Surface Method

2014 ◽  
Vol 134 (9) ◽  
pp. 1293-1298
Author(s):  
Toshiya Kaihara ◽  
Nobutada Fuji ◽  
Tomomi Nonaka ◽  
Yuma Tomoi
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Surface Method
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