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IRJET - Experimental Study on the Strength of Subgrade Layer of Road Pavement by CBR Method
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1907 EXPERIMENTAL STUDY ON THE STRENGTH OF SUBGRADE LAYER OF ROAD PAVEMENT BY CBR METHOD Amit Kumar1, Sanjeev Kumar2, Rohit Raj3, Ishwar Chandra Vidyasagar4, Dr. Mani Bhushan5 1-4Student, Department of Civil Engineering, RRSD College of Engineering, Begusarai, Bihar, India 5Assistant Professor, Department of Civil Engineering, RRSD College of Engineering, Begusarai, Bihar, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - The success and failure of road pavement is mostly dependent upon the underlying subgrade. Thus it is very important to enhance the strength of the subgrade layer. The value of California Bearing Ratio (CBR) of subgrade is used to design the flexible pavements and runway of airfields. Through CBR value one can understand the strength of the soil. In this paper, attempts have been made to obtain the CBR value of soil when mixed in different proportions of fly ash or/and cement. The fly ash has been collected from the NTPC Kahalgao, Bihar, India and OPC 43 grade cement has been collected from the local market of Begusarai, India. The soil used in this project for testing was picked up from chainage 236+900(LHS) to 237+500(LHS) which is borrowed from chainage 234+500(LHS) of NH-31, Begusarai, Bihar, India. The analysis of CBR value has been done by mixing the soil with fly ash at 5%, 10%, 15% and 20%, and with cement at 2%, 4%, 5%, and 10%. Another analysis was done by mixing both fly ash and cement at 18% and 2% respectively with soil. The objective of this study was to evaluate the effect of fly ash or/and cement on CBR value and hence ultimately on soil strength. Besides, soaked or unsoaked condition of soil also affects the CBR value. Key Words: California Bearing Ratio, Flexible pavement, Subgrade, Chainage, admixtures. 1. INTRODUCTION California bearing ratio is an empirical test and widely used in the design of flexible pavements in India and all over the world. This method was developed during 1928- 29 by the California Highway Department. The California bearing ratio test is frequently used in the evaluation of granular materials in base, sub-base and subgrade layers of roads, highways and airfield pavements. The significance of the CBR test emerged from the following two facts, for almost all pavement design charts, unbound materials are characterized in terms of their CBR values when they are compacted in pavement layers. And the CBR value can be correlated with some fundamental properties of soils, such as plasticity index, grain size distribution, Optimum moisture content, Maximum dry density, Bearing Capacity. On the construction site engineers usually faces several problems related to the bearing capacity and strength of soil. It is very difficult to implement the conventional engineering techniques on these sites to start the projects. Conventional techniques on such sites can affect the project economically and also on the environmental conditions. Thus, in such conditions the soil mixed with various admixtures like cement and some industrial waste products like fly ash, which may be used to improve the strength of the soil. Since fly ash is a waste product it may help the soil to stabilize economically as well as environmentally to a very good extent. There was many researchers done successfully to analyze the strength behavior of soil when added with various admixtures based on their CBR values and some of the researchers are Basha et al. (2004), Brook. (2009), Patel and Patel (2011), Joshi and Choudhary (2014), Ramteke et al. (2014), Zumrawi (2015). The strength behaviour of soil with fly ash and Cement has been studied by some other researchers also and to some extent, similar trend observed by Sahu and Kamble (2017), Raj et al. (2017), Pandey (2017), Jigar and Patel (2013). 2. EXPERIMENTAL PROGRAM In this paper, various laboratory test has been done on soil and soil mixed with different admixtures to determine the CBR value of the soil. Grain Size Analysis, specific gravity, free swell index, maximum dry density (MDD), Optimum moisture content (OMC), liquid limit (LL), plastic limit (PL), plasticity index (PI) has been done in the laboratory to obtain the soil and the mixture characteristics. Soaked and Unsoaked California Bearing Ratio test has been done. 2.1 MATERIALS Materials used in the laboratory for testing are: Natural soil, cement and fly ash. 1.) Natural soil (Locally available soil):- The soil used in this project was collected from chainage 236+900(LHS) to 237+500(LHS) which is borrowed from chainage 234+500(LHS) of National Highway(NH) -31 in Begusarai, Bihar, India. 2.) Flyash:- The fly ash has been collected from the NTPC KAHALGAO, Bihar, India.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1908 3.) Cement:- OPC 43 grade cement has been collected from the local market of Begusarai. And its chemical composition is mention in table 1. Table: 1 Chemical Composition of Cement CHEMICAL REQUIREMENTS TEST RESULTS REQUIREMENTS AS PER IS 269:2015 CaO-0.7SO3 2.8SiO2+1.2Al2O3+0.65Fe2O3 0.91 0.66 to 1.02 %Al2O3/% Fe2O3 1.45 0.66 Min. Insoulble Residue (% by mass) 0.90 5.0 Max. Magnesia (% by mass) 3.71 6.0 Max. Sulphuric Anhydride (% by mass) 2.05 3.5 Max. Loss on Ignition (% by mass) 1.90 5.0 Max. Chloride Content (% by mass) 0.02 0.1 Max. 2.2 LABORATORY TESTS AND CALCULATION Table: 2 Grain Size Analysis GRAIN SIZE ANALYSIS (AS PER IS: 2720 (P-8)) IS SIEVE SIZE (mm) Wt of material retained (gm) % Wt retained % Cumulative wt retained % Passing 20 - - - - 4.75 0.264 0.05 0.05 99.95 2 0.836 0.16 0.21 99.79 0.425 3.036 0.6 0.81 99.19 0.075 92.745 18.55 19.36 80.64 SOIL CLASSIFICATION Gravel (Soil particles > 4.75 mm) 0.05% Sand (Soil particles <4.75 mm & > 0.075 mm) 19.31% Silt & Clay (Soil particles < 0.075 mm) 80.64% Table: 3 Atterberg Limits ATTERBERG LIMITS OF SOIL (AS PER IS: 2720 (P-5)) Descripti on LIQUID LIMIT(LL) PLASTIC LIMIT(PL) 1 2 3 4 1 2 3 No. of Blows/ Penetrati on in mm 16 22 30 34 Container No. 40 30 35 53 78 87 26 Wt of Container (W1) in gm 14.76 15.14 16.21 16.29 16.08 14.96 13.76 Wet of container + wet material (W2) in gm 22.54 1 26.31 6 23.89 7 26.09 5 18.65 5 17.79 7 16.69 4 Wt of container + dry material (W3) in gm 20.74 24.04 2 22.57 9 24.73 4 18.24 4 17.34 1 16.22 Wt of water (W2-W3) in gm 1.801 2.274 1.318 1.361 0.411 0.456 0.474 Wt of dry material (W3-W1) in gm 5.98 8.902 6.369 8.444 2.164 2.381 2.46 Water Content % = (W2- W3)/(W3 -W1)*100 30.11 7 25.54 4 20.69 3 16.11 8 18.99 2 19.15 1 19.26 8 Table: 4 Result from Chart 1 & 2 LIQUID LIMIT 24 PLASTIC LIMIT 19.137 PLASTICITY INDEX (LL-PL) 4.863
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1909 Chart: 1 Flow Curve Chart: 2 Plasticity Chart Table: 5 Specific Gravity of Soil SPECIFIC GRAVITY OF SOIL (AS PER IS: 2720 (P-3)) DESCRIPTION DETERMINATION No. 1 Temperature in °C 24 Weight of bottle (W1) in gm 32.32 Weight of bottle + Dry soil (W2) in gm 48.262 Weight of bottle + Soil + Water (W3) in gm 88.92 Weight of bottle + Water (W4) in gm 78.97 CALCULATION : SPECIFIC GRAVITY G ( at 24°C) = (W2- W1)/((W4-W1)-(W3-W2)) 2.661 Corrected G ( at 27°C ) = G' G' = G X Relative density of water at room temperature/Relative density of water at 27 °C = 2.661 x 0.99732/0.99654 2.663 Table: 6 Modified Procter Test of Soil MODIFIED PROCTER TEST (AS PER IS: 2720 (P-8)) Volume of the mould (V) : 1000 cc Weight of the mould in gm m1 : 4352 Description 1 2 3 4 5 % water added 12% 14% 16% 18% 20% Wt of mould + compacted material M2 6221 6380 6397 6465 6414 Wt of compacted material m3=(m2-m1) 1869 1956 2045 2113 2062 Wet density: yb=m3/v 1.869 1.956 2.045 2.113 2.062 Container No. 34 A 27 A 12A 39A 46B Wt of Container W1 64.721 62.873 68.556 63.663 66.874 Wet of container + wet material W2 139.31 3 144.14 2 149.66 7 129.06 2 151.93 4 Wt of container + dry material W3 132.76 4 135.71 8 139.06 2 120.06 2 138.82 5 Wt of water (W2- W3) 6.549 8.424 10.605 9 13.109 Wt of dry material (W3- W1) 68.043 72.845 70.506 56.399 71.951 Moisture Content % W=(W2- W3)/(W3- W1)*100 9.62 11.56 15.04 15.96 18.21 0 5 10 15 20 25 30 35 1 10 100 Water Content % No. of Blows / Penetration in mm 0 10 20 30 40 50 60 70 80 90 100 0 10 20 30 40 50 60 70 80 90 100 7 4 CL- ML ML or OL U- LINE PI=0.9(LL-8) A – LINE PI= 0.73(LL-20) MH or OH CH MI or OI CI CL PI = 4.863 & SOIL TYPE = CL-ML Liquid Limit =24
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1910 Dry density: yd=yb/(1+W/100 ) 1.71 1.75 1.78 1.822 1.74 MDD: 1.822gm/cc OMC: 15.96% Chart: 3 Proctor compaction test curve Table: 7 California Bearing Ratio test of Soil CALIFORNIA BEARING RATIO TEST (AS PER IS: 2720 (P-16)) CBR(%) = (CORRECT UNIT LOAD / STANDARD UNIT LOAD)*100 STANDARD UNIT LOAD: at 2.5 mm- 1370 Kg & at 5.0 mm- 2055 Kg CALIBRATION FACTOR = 3.56 Penetration(mm) Load(Kg) 0.5 8 1 14.5 1.5 22 2 28.5 2.5 34.5 3 40.5 4 52 5 62.5 7.5 87 10.5 114.5 12.5 134 at 2.5 mm at 5.0 mm CBR(%) = 8.964 10.827 FINAL CBR(%) = 10.827 Chart: 4 CBR Test Curve 3. RESULTS AND DISCUSSIONS 3.1 RESULTS Table: 8 Results of all Modified Procter Test and California Bearing Ratio performed on Soil, Soil+Flyash, Soil+Cement, Soil+Flyash+Cement SI No. TYPE OF MATERIALS MODIFIED PROCTER TEST CALIFORNIA BEARING RATIO TEST MDD(g m/cc) OMC( %) SOAKE D CBR(% ) UNSOA KED CBR(% ) 1 SOIL 1.822 15.96 10.827 x 2 FLYASH 1.358 21.5 x 21.135 3 SOIL+FLYASH(5%) 1.776 14.2 11.953 15.643 4 SOIL+FLYASH(10%) 1.761 14.651 14.118 18.882 5 SOIL+FLYASH(15%) 1.727 15.1 14.725 21.914 6 SOIL+FLYASH(20%) 1.702 16 3.031 7.449 1.7 1.71 1.72 1.73 1.74 1.75 1.76 1.77 1.78 1.79 1.8 1.81 1.82 1.83 9 10 11 12 13 14 15 16 17 18 19 Moisture Content Moisture Content % OMC: 15.96% MDD: 1.822gm/cc 0 20 40 60 80 100 120 140 160 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Load(Kg) Penetration(mm) CBR at 2.5mm: 8.964% CBR at 5mm: 10.827% Final CBR: 10.827%
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1911 9 SOIL+CEMENT(2%) 1.768 16.225 31.572 x 10 SOIL+CEMENT(4%) 1.798 15.002 65.137 x 11 SOIL+CEMENT(5%) 1.751 16.2 88.61 x 12 SOIL+CEMENT(10%) 1.767 16.8 104.72 x 13 SOIL+CEMENT(15%) 1.765 16.12 *** x 14 SOIL+FLYASH(18%)+ CEMENT(2%) 1.713 16.5 48.506 x 3.2 DISCUSSIONS [1] Effect of Fly Ash on MDD and OMC of the Soil-fly ash mix The maximum dry density (MDD) and optimum moisture content (OMC) of the sample soil and the soil mixed with fly ash are summarised in chart 5 & 6 and in table 8, it can be observed that with an increase of fly ash content by 5%, 10%, 15%, 20%, in the soil the dry density of the soil-fly ash mix decreased by 1.776, 1.761, 1.727, 1.702 and optimum moisture content increases by 14.2%, 14.651%, 15.1%, 16% respectively. It may be due to the soil has a large amount of silt and clay and some appreciable amount of sand. Since the fly ash has a large amount of silt size particles (63.04%), it reduces the dry density of the mixture. Chart: 5 Effect of Flyash on OMC Chart: 6 Effect Flyash on Swell MDD [2] Effect of cement on MDD and OMC of the soil-cement mix The maximum dry density (MDD) and optimum moisture content (OMC) of the sample soil and the soil mixed with cement are summarized in table 8, it can be observed that with an increase of cement content by 2%, 4%, 5%, 10%, in the soil the dry density of the soil-cement mix observed as 1.768, 1.798, 1.751, 1.767 and optimum moisture content recorded as 16.225%, 15.002%, 16.2%, 16.8%. These results observed may be due to the soil type of CL- ML with an appreciable amount of Sand (19.31%). [3] Effect of fly ash and cement on MDD and OMC of the soil- fly ash- cement mix The maximum dry density (MDD) and optimum moisture content (OMC) of the sample soil and the soil mixed with fly ash and cement are given in table 8, it can be observed that at 18% fly ash and 2 % cement the dry density of soil- fly ash-cement mix is 1.713 and its OMC is recorded as 16.5%. [4] Effect of fly ash on CBR value of Soil-Fly ash mix The CBR of sample soil and soil mixed with fly ash has been conducted in the laboratory. The results of CBR value of soil-fly ash mix in soaked and unsoaked condition has been given in a chart 7 and table 8. From the tables and figures, it can be observed that the CBR value of soil-fly ash mix in soaked condition increases up to 14.725 when 15% of fly ash is mixed with the soil. After the further addition of fly ash 20% in the mix a sudden decrease in CBR value recorded as 3.031%. In unsoaked condition, it is observed that on increasing the fly ash content in mix by 5%, 10%, 15% the CBR value of soil-fly ash mix increases by 15.643, 18.882, 21.914. After the further increment of fly ash content by 20%, a sudden decrease is recorded in CBR value as 7.449. The CBR value of the soil-fly ash mix increases with increases of fly ash content upto a certain limit. The reason may due to cation exchange in the soil- fly ash mix during which the sodium ions in the soil are 14 14.5 15 15.5 16 16.5 0 5 10 15 20 25 % OMC % FLY ASH 1.68 1.7 1.72 1.74 1.76 1.78 0 5 10 15 20 25 MDD % FLY ASH
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1912 replaced by the calcium ions in the fly ash thus reduces the settlement and hence increases the CBR value. As the fly ash content in the soil reaches upto a certain limit at which cation exchange in the soil -fly ash mix stopped then the value of CBR reduces. Chart: 7 Effect of Fly ash on CBR [5] Effect of cement on CBR value of Soil-Cement mix The test results of CBR value of soil-cement mix have been given in table 8. From the above table and fig it can be seen that with increase of soil-cement mix by 2%, 4%, 5%, 10% the CBR value of soil-cement mix increased by 31.572, 65.137, 88.61, 104.72 respectively. CBR value increases with increase in cement content in soil because cement creates strong bonding between soil particles and improves plasticity behaviour. Usually immediately after adding cement to the soil, there is an increase in the soil strength. The reason for the CBR improvement was because of the cementing pozzolanic reaction between the soil and cement [6] Effect of cement and fly ash on CBR value of soil-cement- fly ash mix The test results of CBR value of soil-cement-fly ash mix has been given in table 8. From the above table and fig it can be seen that at 18% fly ash and 2 % cement the CBR value is 48.506. The reason for the CBR improvement was because of the cementing pozzolanic reaction between the soil and cement and due to cation exchange in the soil- fly ash mix during which the sodium ions in the soil are replaced by the calcium ions in the fly ash thus reduces the settlement and hence increases the CBR value. 4. CONCLUSIONS The major conclusions drawn at the end of this work are as follows: 1. From these experimental results, it has been observed that soil is of type CL-ML with an appreciable amount of sand with a specific gravity of 2.663. 2. Soil and fly ash attains CBR value of 10.827% in soaked and 21.123% in unsoaked condition respectively. 3. Soil-fly ash mix attains maximum CBR value when mixed with 15% fly ash in soil in comparison with soil mix with 5%, 10% and 20% of fly ash, both in soaked as well as unsoaked condition. 4. CBR value of unsoaked soil-fly ash mix is greater than CBR value of soaked soil-fly ash mix. 5. In soil-fly ash mix as the % of fly ash increases, MDD decreases. 6. In soil-fly ash mix as the % of fly ash increases OMC increases. 7. On increasing the % of cement in soil-cement mix CBR value increases. 8. A very small % of cement, even 2% is capable of providing high strength. 9. On addition of 10% cement in soil, CBR value is even greater than 100% i.e 104.72% calculated at 2.5mm penetration as maximum penetration is 4mm having load of 572 kg. 10. On addition of 15% cement in the soil even 2.5mm penetration is not achieved for CBR test, maximum penetration is 2mm having a load of 353 kg. 11. When Soil(80%)+Flyash(18%)+Cement(2%) mix together CBR value of 48.506%, MDD- 1.713 gm/cc and OMC-16.5% is achieved. 12. Further this Research work can be carried with different materials to improve CBR values and also with different Soaking Conditions. 5. NEED AND SCOPE The California Bearing Ratio Test (IS: 2720 - Part 16) is an empirical test and widely applied in the design of flexible pavement all over the world. CBR test is the ratio of force per unit area required to penetrate a soil mass with a standard circular piston at the rate of 1.25 mm/min. to that required for the corresponding penetration of standard materials. The California bearing ratio test is a penetration test meant for the evaluation of subgrade strength of roads and 0 5 10 15 20 25 0 5 10 15 20 25 % CBR % FLY ASH Soaked Unsoaked
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1913 pavements. The results obtained by these tests are used with the standard empirical curves to determine the thickness of pavement and its component layers. This is the most widely used method for the design of flexible pavements. REFERENCES [1]. American Coal Ash Association, Fly ash facts for Highway Engineers, Report no. FHWA-IF-03-019. [2]. Anil Pandey, Prof. Ahsan Rabbani. Soil stabilization using cement, International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 6, June 2017, ISSN Print: 0976-6308 and ISSN Online: 0976-6316, pp.316-322, Article ID: IJCIET_08_06_035 [3]. Dr. Robert M. Brooks. Soil stabilization with fly ash and rice husk ash 2009; ISSN: 2076-734X, EISSN; 2076- 7366. [4]. E.A. Basha, R. Hasim, H.B. Mahmud, A.S. Muntohar. Stabilization of residual soil with rice husk ash and cement 2004; 448-453. [5]. Er. Devendra Kumar Choudhari, Dr. Y.P. Joshi. A detail study of CBR method for Flexible Pavement Design 2014; ISSN: 2248-9622. [6]. IRC:37-2018, Guidelines for the Design of Flexible Pavements. [7]. IS: 2720 – Indian standard methods of test for soil (Part 4)-1985, Grain Size Analysis. (Part 5)-1985, Determination of Liquid and Plastic limit. (Part 8)-1983, Determination of Water content-Dry density relation using heavy compaction. (Part 16)-1987, Laboratory determination of CBR (Part 8/Sec 1)-1980, Determination of Specific Gravity, Section 1- Fine Grain soils. (Part 40)-1977(Reaffirmed 2002) - Determination of Free Swell Index of Soils. [8]. IS: 8112 – Indian standard Ordinary Portland Cement, 43 Grade – Specification. [9]. Magdi M. E. Zumrawi. Stabilization of Pavement Subgrade by Using Fly Ash Activated by Cement. American Journal of Civil Engineering and Architecture, vol. 3, no. 6(2015): 218-224. doi: 10.12691/ajcea-3-6-5. [10]. Gopal Ranjan, A.S.R. Rao. Basic and applied soil mechanics, Revised 3rd edition 2018,311, ISBN: 978-81- 224-4039-3. [11]. M. A. Patel, Dr. H. S. Patel. Experimental investigation on cement-fly ash stabilized soil to formulate correlation between dcp and pbt, ucs & CBR tests results 2011; IJAET/Vol.II/ Issue III/July-September, 2011/110-123, E- ISSN 0976-3945. [12]. Mrs. Neetu B. Ramteke, Prof. Anilkumar Saxena, Prof. T. R. Arora . Stabilization of Black Cotton Soil With Sand and Cement as a Subgrade for Pavement, June 2014; ISSN: 2277-9655. [13]. Nptel online course on Introduction to Transportation Engineering. [14]. PranshulSahu, Riteshkamble. Experimental Study on Flexible Pavement using CBR method 2017; ISSN: 2320- 2092. [15]. Salvant Raj, Nikita Gupta, Love Sharma. Comparative Study on Behaviour of Soft Soil Using Various Admixtures, IJMER Feb. 2017; ISSN: 2249–6645, Vol. 7, Iss. 2 [16]. Sathawara Jigar K., Prof. A.K. Patel. Comparison between soaked and unsoaked CBR 2013; E-ISSN2249- 8974. [17]. S.K. Khanna, C.E.G. Justo, A. Veeraragavan. Highway Engineering, Revised 10th edition 2017,331-334, ISBN 978-81-85240-93-0. [18]. Wikipedia BIOGRAPHIES Pursuing Degree (B. Tech) in Civil Engineering from RRSD College of Engineering. Year of passing 2020. And also Training and Placement Coordinator at RRSD College of Engineering. Pursuing Degree (B. Tech) in Civil Engineering from RRSD College of Engineering. Year of passing 2020. Pursuing Degree (B. Tech) in Civil Engineering from RRSD College of Engineering. Year of passing 2020. Pursuing Degree (B. Tech) in Civil Engineering from RRSD College of Engineering. Year of passing 2020. Assistant Professor, Department of Civil Engineering in RRSD College of Engineerig, Begusarai.
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