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Probabilistic Investigation of the Compressive Strength of Pervious Concrete with Replacement of Recycled Coarse Aggregates Nayana B S1, Niranjan T P2 1Assistant
Professor, Department of Civil Engineering, RYM Engineering College, Ballari, Karnataka, India 2MTech in Structural Engineering, VTU, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract - A study has been carried out to investigate the probable range of compressive strength of the pervious concrete at various substitution of recycled coarse aggregate. The compressive strength of the pervious concrete at various substitution of recycled coarse aggregate of 5%, 15%, 25%, 30%, 35% and 40% investigated thoroughly. This study demonstrates that the pervious concrete with 30% substitution of the recycled coarse aggregate have shown higher compressive strength in all the above mentioned cases. From the values of Skewness and kurtosis obtained by simulation technique indicates that the compressivestrength of pervious-concrete with recycled coarse aggregate is found to follow normal distribution. The pervious concrete at various substitution of recycled coarse aggregate of 5%, 15%, 25%, 30%, 35% and 40% the compressive strength is ranged between 5.8MPa to 7.3MPa, 8.2 MPa to 10.50MPa, 8.4MPa to 10.8MPa, 11.5MPa to 14.8MPa, 9.6MPa to 12.80MPa and 8.6MPa to 11.20MPa respectively. Key Words: Compressive strength, Pervious Concrete, Recycled Coarse Aggregates. 1. INTRODUCTION Concrete is the extensively utilized building/construction material all over the globe. It is well known for its high compressive strength, durability, impermeability, fire resistance and abrasion resistance. Concrete is having the potentiality to be formed into any desired shape and size. Compressive strength is individual of the most frequently utilized criterions for the development of concrete strength. Though destructive approaches of compressive strength resolution in which square or cylinder-shaped models handled from fresh concrete or core models extracted from structural concrete members are the utmost precise ways, they has their specific defects. Square or cylindrical models casted from fresh concrete may not be indistinguishable to in-situ concrete on account of curing and placements dissimilarities. Curing procedure is time overriding, uneconomic and this procedure may destruct the structural member. Porous-concrete is permeable concrete clearing materials which permits sprinkle alternately storm water overflow on infiltrate through it as opposed surge encompassing zones alternatively storm drains. It will be normally a mixture from claiming 10mm on 12.5mm normal breadth aggregates, mortar, different cementaceous materials, admixtures and also water. Some of the real difficulties of our existing civilization are the security of environments. A portion of the imperative components in this regard are the lessening of the utilization of energy and natural raw constituents and utilization of waste ingredients. These points are being paid significant consideration underneath maintainable progress these days. The utilization of reused coarse aggregates from construction and destruction trashes is indicating potential usage in the development as other option to natural coarse aggregates. It protects natural resources and decreases the gap necessary for the landfill dumping. 2. OBJECTIVES [1] To govern the compressive-strength of pervious concrete on various substitution of recycled coarse aggregate. [2] To compute compressive-strength of pervious concrete by means of non-destructive method. [3] To govern the range of compressive-strength of pervious concrete for every substitution of recycled coarse aggregate by probability. 3. MATERIALS AND METHODOLOGY 3.1 Cement: Cement is any substance which bond together different materials by a blend of mixture procedures referred to altogether as setting. Cement are dry powders as shown in figure and must not be confused with concretes or mortars, but rather they are an essential constituent of both of these materials in which they become as the “glue” that offers strength to
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International Research Journal of Engineering and Technology (IRJET)
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structures. Mortar is a blend of cement and sand though concrete likewise incorporates aggregates along with cement and sand.
Fig 1: OPC 53 grade cement 3.2 Aggregates
Fig 2: Fine aggregate, coarse aggregate and Recycled aggregates. 3.3 Water The water utilized to get ready concrete must be free from dust, natural or organic-matter like as is shown in the figure 3.13. Water satisfactory for portable is best. Any fresh water is adequate. Saline water might be utilized if good quantity water is not promptly accessible, but rather it will lessen the quality of cement around 15 %. In the event that you should utilize unpotable water, let it settle in an immense dish or tank to clean most of the filth. Enough water is required hence the hydration response is finished and the greatest strong point is picked up. In any case, a lot of water leads to a decrease in strength.
Fig 3: Water
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International Research Journal of Engineering and Technology (IRJET)
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The probabilistic investigation can be carried out by
following steps:-
Step 1:- The obtained results of the compressive strength are derived for the further investigation of the Monte Carlo technique. Step 2:- The mean and standard deviation of the respective compressive strength that are obtained by the experimental outcomes are determined. Step 3:- Random numbers are generated and the correspondent random variables of compressive strength are determined. In the case of the example, the random numbers which are in the range of zero to one are generated and for the each generation of the random numbers the correspondent dip angle is determined. Step 4:- The probability density distribution from the obtained data measurements are constructed in the form of histogram. Step 5:- Skewness and kurtosis with the help of all random variables that are generated by random numbers are computed. Step 6:- The normal distribution curve is made to fix in the accumulated histogram graphs for the determined random variables of compressive strength. Step 7:- The ranges of compressive strength is fixed for normal distribution to attain symmetrical shape and distribute the values evenly. Step 8:- Using the mean and ranges of compressive strength of the normal distribution curve the probability distribution is determined. Table 1: Proportions of ingredients of concrete (as per IS 10262:2009) SL no 1 2 3 4 5 6
Percentage replacement of RCA (%) 5 15 25 30 35 40
Cement (kg/m3)
Fine -aggregate (kg/m3)
320 320 320 320 320 320
203 203 203 203 203 203
Recycled coarse aggregate (kg/m3) 91.7 275.1 458.5 550.2 641.9 733.6
Coarse aggregate (kg/m3) 1742.3 1558.9 1375.5 1283.8 1192.1 1104.4
Water-cement ratio 0.45 0.45 0.45 0.45 0.45 0.45
The quantity of cement, fine aggregate, recycled coarse aggregate and coarse aggregate that are required for various substitution of reused coarse aggregate are classified in the above table for concrete of water-cement ratio 0.45. Pervious concrete mix proportion is considered as 1: 0.634: 5.70 which are obtained by mix. The amount of cement, fine aggregate and water-cement ratio stays unaltered. Change in amount of coarse aggregate happens for every amount of substitution i.e. 5%, 15%, 25%, 30%, 35%, and 40%. Table 2: Experimental values of compressive strength with respect to percentage replacement of recycled coarse aggregate SL no
Percentage replacement of RCA (%)
1 2 3 4 5 6
5 15 25 30 35 40
3-days 5.7 6.435 6.889 8.667 7.778 7.714
Compressive strength 7-days 14-days 5.863 6.149 6.689 7.136 7.33 8.00 9.55 10.00 9.11 9.33 8.94 9.134
28-days 6.595 9.11 9.77 13.33 11.55 9.77
The compressive strength of pervious concrete results for different days at various substitution of recycled coarse aggregate is as shown in the above table. According to these results it clearly says that 30% substitution of recycled coarse aggregate imparts the good and better strength characteristics when adapted to rest of substitutions.
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A histogram is a strategy that lets you determine and show the principal distribution or underlying form of a set of uninterrupted data. This permits the examination of the data for its underlying normal-distribution, ranges, skewness, kurtosis and mean. In this present study histogram is represented with frequency distribution of compressive-strength of perviousconcrete in x-axis and number of observations in y-axis.
Fig 4:-frequency distribution graph of compressive-strength of pervious-concrete for 5% substitution of RCA. The frequency distribution of compressive strength of pervious concrete for 5% substitution of recycled coarse aggregate is shown in figure 4.6 in which the maximum range of compressive strength of a bin is between 6.5MPa to 6.75MPa. The simulated mean and standard deviation that are obtained were 6.637MPa and 0.372MPa for 1000 number of observations. The skewness and kurtosis of histogram are shows the values of 0.0268 and 2.5838 respectively
Fig 5:-frequency distribution graph of compressive-strength of pervious-concrete for 15% substitution of RCA. The frequency distribution of compressive strength of pervious concrete for 15% substitution of recycled coarse aggregate is shown in figure 4.7 in which the maximum range of compressive strength of a bin is between 8.75MPa to 6.7MPa. The simulated mean and standard deviation that are obtained were 9.133MPa and 0.529MPa for 1000 number of observations. The skewness and kurtosis of histogram are shows the values of 0.0042 and 3.0892 respectively.
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Fig 6:-frequency distribution graph of compressive-strength of pervious-concrete for 25% substitution of RCA. The frequency distribution of compressive strength of pervious concrete for 25% substitution of recycled coarse aggregate is shown in figure 4.8 in which the maximum range of compressive strength of a bin is between 9.6MPa to 9.9 MPa. The simulated mean and standard deviation that are obtained were 9.776MPa and 0.585MPa for 1000 number of observations. The skewness and kurtosis of histogram are shows the values of 0.0472and 3.1265 respectively.
Fig 7:-frequency distribution graph of compressive-strength of pervious-concrete for 30% substitution of RCA. The frequency distribution of compressive strength of pervious concrete for 30% substitution of recycled coarse aggregate is shown in figure 4.9 in which the maximum range of compressive strength of a bin is between 13MPa to 13.4MPa. The simulated mean and standard deviation that are obtained were 13.293MPa and 0.822MPa for 1000 number of observations. The skewness and kurtosis of histogram are shows the values of 0.1187 and 3.0539 respectively.
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Fig 8:-frequency distribution graph of compressive-strength of pervious-concrete for 35% substitution of RCA. The frequency distribution of compressive strength of pervious concrete for 35% substitution of recycled coarse aggregate is shown in figure 4.10 in which the maximum range of compressive strength of a bin is between 11.2MPa to 11.5MPa. The simulated mean and standard deviation that are obtained were 11.542MPa and 0.733MPa for 1000 number of observations. The skewness and kurtosis of histogram are shows the values of 0.0260 and 2.9788 respectively.
Fig 9:-frequency distribution graph of compressive-strength of pervious-concrete for 40% substitution of RCA. The frequency distribution of compressive strength of pervious concrete for 40% substitution of recycled coarse aggregate is shown in figure 4.11 in which the maximum range of compressive strength of a bin is between 9.7MPa to 10MPa. The simulated mean and standard deviation that are obtained were 9.774MPa and 0.638MPa for 1000 number of observations. The skewness and kurtosis of histogram are shows the values of 0.0895 and 3.0611 respectively. 3. CONCLUSIONS [1] In the present investigation it is observed that the pervious concrete with 30% substitution of the recycled coarse aggregate have shown higher compressive strength in all the cases of recycled coarse aggregate substitution with 5%, 15%, 25%, 30%, 35% and 40%. [2] Monte Carlo simulation technique is adopted in the current investigation of probabilistic analysis of compressivestrength of pervious-concrete with recycled coarse-aggregate. The results simulated from Monte Carlo technique is found very well matched with the experimental values imparting maximum error of 4.2% which can be accepted in engineering domain. [3] The pervious concrete at various substitution of recycled coarse aggregate of 5%, 15%, 25%, 30%, 35% and 40% the compressive strength is ranged between 5.8MPa to 7.3MPa, 8.2 MPa to 10.50MPa, 8.4MPa to 10.8MPa, 11.5MPa to 14.8MPa, 9.6MPa to 12.80MPa and 8.6MPa to 11.20MPa respectively.
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[4] The present study shows that probabilistic analysis of pervious concrete with recycled coarse aggregate indicates the range of compressive strength; in turn it gives way to select the percentage of recycled coarse aggregate to incorporate in pervious concrete based on desired values of its compressive strength. REFERENCES 1) Palika Chopra, Rajendra Kumar Sharma, and Maneek Kumar "Artificial Neural Networks for the Prediction of Compressive Strength of Concrete." International Journal of Applied Science and Engineering Vol.13, No.3 (2015), pp.187-204. 2) Mahadeva C K, Niranjan T P and Keerthi Gowda B S “Study on Mechanical Properties of Recycled Aggregate Embedded Pervious Concrete” , National conference on advances of construction engineering for sustainability (NCCS2017). 3) Muuml; rsel, Erdal. "Prediction of the compressive strength of vacuum processed concretes using artificial neural network and regression techniques." Scientific Research and Essays Vol. 4, No.10, (2009), pp.1057-1065. 4)
Shetty, M. S. "Concrete technology." S. chand & company LTD (2005): 420-453.
5) Proportioning-Guideline, Indian Standard Concrete Mix. "IS 10262: 2009." Bureau of Indian Standards, New Delhi (2009). 6) Keerthi Gowda B S, Dr. G L Easwara Prasad and Dr. Velmurgan R "Probabilistic study of tensile properties of coir fiber reinforced polymer matrix composite." International Journal of Advanced Materials Science Vol. 6, No.1 (2015), pp.7-17. 7) B S, Nayana & T P, Niranjan & B S, Keerthi Gowda. (2018). IRJET-V5|10139 nayana 2017 batch probabilistic coir concrete. 5. 744-750. 8) A.N.Swaminathen, N.Saravana Kumar, “experimental study on strength properties of pervious concrete” Vol. 03, No.11, (2016). 9) Berry, Suozzo, Anderson and Dewoolkar "Properties of pervious concrete incorporating recycled concrete aggregate." University of Vermont, Burlington, Vol. USA 1 (2012), pp.1-16. 10) S.Deepika, K.Lalithanjali, M.R.Ponmalar, B.Vinushitha and T.Manju "Influence of Recycled Aggregate based Pervious Concrete with Fly ash." International Journal of ChemTech Research Vol. 7, No.6, (2014-2015), pp.2648-2653. 11) Malik, Abdul. "An Experimental Study on Properties of No-Fines Concrete." Imperial Journal of Interdisciplinary Research Vol. 2, No.10 (2016), pp.2075-2079. 12) Sindhu, P. K., and Deepthy Rajagopal. "Experimental Investigation on Maximum Strength of Pervious Concrete Using Different Size of Aggregates." International Journal of Innovative Science, Engineering & Technology, Vol. 2, No.10, (2015), pp.706-709. 13) Elango, K. S., and V. Revathi. "PROPERTIES OF PPC BINDER PERVIOUS CONCRETE." International Journal of Advanced Engineering Technology Vol.8, No. 2 (2016), pp.444-448. 14) Godevitharana, A. G. D. N., P. A. P. S. Jayaweera, and Sudhira De Silva. "Selection of aggregate suitable to produce pervious concrete for sustainable built environment." (2013). 15) An Cheng, Hui-Mi Hsu, Sao-Jeng Chao and Kae-Long Lin "Experimental study on properties of pervious concrete made with recycled aggregate." International journal of pavement research and technology Vol. 4, No. 2 (2011), pp.104-110.
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