Pasupuleti Laxmi Narayana

@aec.edu.in

Assistant Professor
Aditya Engineering College

Pasupuleti Laxmi Narayana


                  Download Compact PDF  
https://researchid.co/laxminarayana
Dr. P. Laxmi Narayana known for his research on the phenomenology of turbulence around tandem and multiple pier arrangements (staggered configuration), which would be useful widely in engineering practices particularly in parallel bridges. He acclaimed for his contributions to quantify the flow structure around the pier of such practical arrangements would be useful in planning of the bridge configuration and proposing suitable protection measures in the field. His expertise in fields of turbulence, fluvial hydraulics and sediment transport. He is currently an Assistant Professor of the Department of Civil Engineering, Aditya Engineering College (AEC) Surampalem.
He has published 5 research papers in refereed journals, 7 international conferences proceedings and author of a one book chapter published by Springer, Germany.

EDUCATION

PhD (2022): Sardar Vallabhbhai National Institute of Technology, (SVNIT) Surat, Gujarat. Doctoral Thesis Title: Flow Around Isolated, Tandem, and Staggered Submerged Piers on Rigid and Mobile Sediment Beds: An Experimental Investigation.
M. Tech (2013-2015): Sardar Vallabhbhai National Institute of Technology, (SVNIT) Surat, Gujarat. CGPA: 7.68/10. Maters Dissertation Title: Analytical and Experimental Investigation on Bed Level Variation of Alluvial Channel Due to Overloading.
Gate Score: 427 & Gate Rank: 5081
B. Tech (2008-2012): GMR Institute of Engineering and Technology, Rajam, Srikakulam District (Affiliated to JNTU Kakinada). Percentile: 69.2%.

RESEARCH INTERESTS

My doctoral thesis was focused on Flow around isolated, tandem, and staggered submerged piers on rigid and mobile sediment beds: An experimental investigation conducted under supervision by Prof. P. L. Patel, and Dr. P. V. Timbadiya.
13

Scopus Publications

Scopus Publications

  • Composite machine learning models for forecasting UCS of stabilized lateritic soils
    Laxmi Narayana Pasupuleti, Shiva Kumar Penugonda, Ajay Kumar Danikonda, Hari Jyothula
    Multiscale and Multidisciplinary Modeling Experiments and Design, 2026
    Accurate prediction of unconfined compressive strengths (UCS) of lateral soil is necessity for effective geotechnical and pavement design. To overcome the problem, the current study presents a composite machine learning model to predict the UCS of lateral soil using soil parameters. Different algorithms viz., Bagging, LSBoost, Random forest, ANN and support vector regression are employed and compared to identify the most accurate model. Conventional lab methods such as UCS, OMC, and MDD are time taking, labor necessary, and impractical for large scale applications. Experimental investigations were performed on lateral soils stabilizing with lime, fly ash, gypsum and ceramic slag, which create dataset of compaction and strength parameters. Further, the feature importance analysis shown, MDD and CBR are most significant predictors of UCS. The mixture of lime, fly ash and gypsum yielded the maximum UCS in comparison with other combinations. Among the models, LSBoost demonstrated superior generalization with minimum error (R2 = 0.96, RMSE = 250 KN/m2). The results further indicate, the combined use of lime, fly ash, and gypsum significantly increases the soil strength due to enhanced densification and cementitious bonding. The results suggested suitable ensemble based ML model for reliable UCS predictions, alternative to time consuming laboratory testing and provides a practical decision-support tool, which is potential applications in design and decision-making in field of pavement and geotechnical engineering.
  • Predicting cement brick performance using Multilayer Perceptron Neural Networks
    Laxmi Narayana Pasupuleti, Anusha Nataru, Bhavani Sai kumar Yv
    Engineering Structure and Civil Engineering, 2026
  • Prediction of natural frequencies in cracked circular hingeless arches using machine learning approaches
    Laxmi Narayana Pasupuleti, Raghu Babu Uppara, Shekhar Chintapalli, Roja Rani Kandula
    Journal of Building Pathology and Rehabilitation, 2026
  • Optimising model selection for the morphometric analysis of a drainage basin
    Laxmi Narayana Pasupuleti, Shiva Kumar Penugonda, Ramakrishna Mallidi, Prasadarao Jala, Hari Jyothula
    Water Practice and Technology, 2026
    The study investigates the correlation between the morphometric characteristics and hydrological processes within the six drainage basins of the Kakinada district, India. Using Shuttle Radar Topography Mission (SRTM) 30 m DEM data, morphometric parameters, namely, stream frequency, bifurcation ratio, slope, and drainage density, and slope were computed for a 3,019 km2 area. The fuzzy analytical hierarchy process (FAHP) was employed for basin prioritisation, while machine learning models, namely, artificial neural network (ANN), multiple linear regression, and support vector regression, were used to optimise and validate morphometric predictions. The ANN model achieved the highest accuracy (R2 = 0.98), demonstrating a strong agreement with FAHP outputs. The combined FAHP and ANN present a novel framework for morphometric analysis and basin management. The outcomes of the study provide quantitative insights for flood prediction, hydrological modelling, and sustainable water resource planning in the Kakinada district.
  • Prediction of concrete strength using multilayer perceptron neural network-based utilizing sustainable waste materials
    Laxmi Narayana Pasupuleti, Bhaskara Rao Nalli, Ajay Kumar Danikonda, Raghu Babu Uppara, Ramakrishna Mallidi
    Asian Journal of Civil Engineering, 2025
  • Crack detection and categorisation on steel surfaces using machine learning techniques
    Maheswara Rao Bandi, Laxmi Narayana Pasupuleti, Anup Kumar Sah, Hari Jyothula
    Asian Journal of Civil Engineering, 2025
  • A comprehensive study of floodplain analysis utilising HEC-HMS, HEC-RAS, and GIS on the Kosasthalaiyar River sub-basin
    Manikanta Boddepalli, Laxmi Narayana Pasupuleti, Bhaskara Rao Nalli
    Water Practice and Technology, 2024
    The present study focused on the Kosasthalaiyar River basin in Chennai, Tamil Nadu, India. We analysed the 2015 peak flood and forecasted the feature data in the representative concentration pathways (RCP) 4.5 scenario for various years. We used the scientific data management system (SDSM) software to downscale the Geophysical Fluid Dynamics Laboratory (GFDL) 2.0 general circulation models (GCMs). According to hydrograph analysis, 142.7, 75.31, 461.73, and 248.22 mm runoff can occur in 2030, 2050, 2080, and 2100, respectively. The current study estimates probable peak flows by performing floodplain analysis on the Kosasthalaiyar River sub-basin using the Hydrologic Engineering Centre's Hydrologic Modelling System (HEC-HMS), the Hydrologic Engineering Centre's River Analysis System (HEC-RAS), and geographic information system (GIS) tools. It is possible to observe that the two major peak floods, measuring 581.6 and 110.7 m3/s, respectively, will occur on 28 November 2030 at 10:20 a.m. and 12 December 2050 at 9:20 a.m. Additionally, high floods of 997 and 1,438.4 m3/s can be recorded on 20 December 2080 at 9:50 a.m. and 29 November 2100 at 9:40 a.m., respectively.
  • Deep learning based damage detection of concrete structures
    Maheswara Rao Bandi, Laxmi Narayana Pasupuleti, Tanmay Das, Shyamal Guchhait
    Asian Journal of Civil Engineering, 2024
  • Quantification of Wake Vortices Around Tandem Piers on Rigid Bed Channel
    L. N. Pasupuleti, P. V. Timbadiya, P. L. Patel
    Lecture Notes in Civil Engineering, 2023
  • Space–time dynamics of local scour around submerged tandem and staggered piers in sand beds
    Laxmi Narayana Pasupuleti, P. V. Timbadiya, P. L. Patel
    Current Science, 2023
  • Flow fields around tandem and staggered piers on a mobile bed
    Laxmi Narayana Pasupuleti, Prafulkumar Vasharambhai Timbadiya, Prem Lal Patel
    International Journal of Sediment Research, 2022
  • Flow Field Measurements Around Isolated, Staggered, and Tandem Piers on a Rigid Bed Channel
    Laxmi Narayana Pasupuleti, Prafulkumar Vashrambhai Timbadiya, Prem Lal Patel
    International Journal of Civil Engineering, 2022
  • Vorticity fields around a pier on rigid and mobile bed channels
    P. Laxmi Narayana, P.V. Timbadiya, P. L. Patel
    Ish Journal of Hydraulic Engineering, 2022

Publications

1. Pasupuleti, L. N, P. V. Timbadiya, P. L. Patel (2020): Bed level variations around submerged tandem piers in sand beds, ISH Journal of Hydraulic Engineering, 28(1), 149-157 (Scopus Indexed) (I. F=1.2)
2. Pasupuleti, L. N, P. V. Timbadiya, P. L. Patel (2021): Vorticity fields around a pier in rigid and mobile bed channels, ISH Journal of Hydraulic Engineering, 1-10. (Scopus Indexed) (I. F=1.2)
3. Pasupuleti, L. N, P. V. Timbadiya, P. L. Patel (2021): Flow field measurements around isolated, staggered, and tandem piers on a rigid bed channel, International Journal of Civil Engineering,20, 568-586, (SCI Indexed) (I. F=2.08)
4. Pasupuleti, L. N, P. V. Timbadiya, P. L. Patel (2022): Flow fields around tandem and staggered piers on a mobile bed, International Journal of Sediment Research, (Published) (SCI Indexed) (I. F= 3.259).
5. Pasupuleti, L. N, P. V. Timbadiya, P. L. Patel (2022): Space-time dynamics of local scour around tandem and staggered pier, Current Science (Communicated) (SCI Indexed) (I. F= 1.2)
6. Pasupuleti, L. N, P. V. Timbadiya, P. L. Patel (2021): Experimental investigation on evolution of scour hole around tandem piers in an alluvial channel, Journal of Indian National Group of the International Association for Bridge and Structural Engineering, 51 (1), 51-63 (Scopus Indexed)