Dr. G. Sreelal

@krct.ac.in

Assistant Professor/Department of Civil Engineering
K Ramakrishnan College of Technology

Dr. G. Sreelal


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https://researchid.co/drgsreelal

EDUCATION

B.E Civil Engineering
M.E Environmental Engineering
Ph.D. Civil Engineering
5

Scopus Publications

51

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Artificial neural network and weighted arithmetic indexing approach for surface water quality assessment of the Brahmani river
    M Asfaw, P Banerjee, V Singh, K Chatttopadhyay, P Chandra, et al.
    Global Nest Journal, 2022
    <p>An approach was used in this study to relate the predicted and calculated water quality index (WQI) of the Brahmani River. The WQI was predicted using an artificial neural network (ANN) tool, and the weighted Arithmetic Index technique was used to calculate the WQI (WAI). The WQI is calculated using physicochemical parameters as input data. Pollution Control Board (India) data was utilised to train and evaluate the model, as well as to forecast WQI. The ANN model is trained using the feed-forward back-propogation approach. 70 percent of the data was used for training, whereas 30 percent was used for testing and validation (15 percent) (15 percent). The regression coefficients for all of the stations were greater than 0.9, indicating that ANN modelling produced successful results. For all stations, the average percent of variance between anticipated and computed WQI is 8.63 percent. According to the findings of this study, the ANN model may be useful for predicting the WQI of both surface and groundwater.</p>
  • Analytical study on the assessment of groundwater quality in Thirumanamedu village, Trichy district
    A. Karthick, S. Ramkumar, R. Raja, G. Sreelal
    Materials Today Proceedings, 2022
  • Optimization of River Sand with Spent Garnet Sand in Concrete Using RSM and R Programming Packages
    Jayaraju Raja Murugadoss, Nachimuthu Balasubramaniam, Ravindiran Gokulan, Kanta Naga Rajesh, Gurusamy Pandian Sreelal, Pupalwad Arti Sudam, Dhaleelur Rahman Zunaithur Rahman, Razack Nasar Ali
    Journal of Nanomaterials, 2022
    The main ingredients of concrete are derived from natural resources such as cement, sand, and coarse aggregate. Rapid urbanization leads to the high demand for concrete causing depletion of natural deposits of sand. In this study, the optimized quantities of sand with spent garnet sand are compared in Design Expert’s Response Surface Method and R Programming’s RStudio packages in terms of predicted and actual compressive and flexural strength at 28 days of curing. Optimization of sand with spent garnet sand at various percentages such as 20, 40, 60, and 80 is proposed. The findings revealed that the correlation coefficient ( R 2 ) of 28 days compressive strength is 0.976 and 28 days flexural strength is 0.969 in both software. It indicates that both software can effectively predict and optimize.
  • EFFECT OF MIXING SPEED ON ANAEROBIC DIGESTION OF SUGARCANE TRASH INTO BIOGAS IN A BATCH-FED DIGESTER
    Arpn Journal of Engineering and Applied Sciences, 2019
  • Design, construction & performance analysis of low cost fixed bed biomass gasifier
    Arpn Journal of Engineering and Applied Sciences, 2015

RECENT SCHOLAR PUBLICATIONS

  • Analytical study on the assessment of groundwater quality in Thirumanamedu village, Trichy district
    GS A. Karthick , S. Ramkumar , R. Raja
    Materials Today: Proceedings , 2022
    2022
    Citations: 2
  • Optimization of river sand with spent garnet sand in concrete using RSM and R programming packages
    JR Murugadoss, N Balasubramaniam, R Gokulan, KN Rajesh, GP Sreelal, ...
    Journal of Nanomaterials 2022 (1), 4620687 , 2022
    2022
    Citations: 10
  • EFFECT OF MIXING SPEED ON ANAEROBIC DIGESTION OF SUGARCANE TRASH INTO BIOGAS IN A BATCH-FED DIGESTER
    JRMK Sreelal G Pandian
    ARPN Journal of Engineering and Applied Sciences 14 (20), 3509 , 2019
    2019
  • Evaluation of sugarcane trash’s biogas on effect with inoculum to substrate ratio (ISR) in a batch digester
    RJ G. Sreelal
    Ecology, Environment and Conservation Journal 25 (4), 1854-1859 , 2019
    2019
  • ANALYSIS OF SUGARCANE TRASH AND EVALUATION OF ITS BIOGAS ON EFFECT WITH INOCULUMS
    RJ G. SREELAL
    Pollution Research 38 (3), 768-775 , 2019
    2019
  • Review on phytoremediation technology for removal of soil contaminant
    G Sreelal, R Jayanthi
    Indian J Sci Res 14 (1), 127-130 , 2017
    2017
    Citations: 35
  • DESIGN, CONSTRUCTION & PERFORMANCE ANALYSIS OF LOW COST FIXED BED BIOMASS GASIFIER
    G Sreelal
    ARPN Journal of Engineering and Applied Sciences 10 (6), 2736 , 2015
    2015
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Review on phytoremediation technology for removal of soil contaminant
    G Sreelal, R Jayanthi
    Indian J Sci Res 14 (1), 127-130 , 2017
    2017
    Citations: 35
  • Optimization of river sand with spent garnet sand in concrete using RSM and R programming packages
    JR Murugadoss, N Balasubramaniam, R Gokulan, KN Rajesh, GP Sreelal, ...
    Journal of Nanomaterials 2022 (1), 4620687 , 2022
    2022
    Citations: 10
  • DESIGN, CONSTRUCTION & PERFORMANCE ANALYSIS OF LOW COST FIXED BED BIOMASS GASIFIER
    G Sreelal
    ARPN Journal of Engineering and Applied Sciences 10 (6), 2736 , 2015
    2015
    Citations: 4
  • Analytical study on the assessment of groundwater quality in Thirumanamedu village, Trichy district
    GS A. Karthick , S. Ramkumar , R. Raja
    Materials Today: Proceedings , 2022
    2022
    Citations: 2
  • EFFECT OF MIXING SPEED ON ANAEROBIC DIGESTION OF SUGARCANE TRASH INTO BIOGAS IN A BATCH-FED DIGESTER
    JRMK Sreelal G Pandian
    ARPN Journal of Engineering and Applied Sciences 14 (20), 3509 , 2019
    2019
  • Evaluation of sugarcane trash’s biogas on effect with inoculum to substrate ratio (ISR) in a batch digester
    RJ G. Sreelal
    Ecology, Environment and Conservation Journal 25 (4), 1854-1859 , 2019
    2019
  • ANALYSIS OF SUGARCANE TRASH AND EVALUATION OF ITS BIOGAS ON EFFECT WITH INOCULUMS
    RJ G. SREELAL
    Pollution Research 38 (3), 768-775 , 2019
    2019