Pasupuleti Laxmi Narayana
Assistant Professor · Aditya Engineering College
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.
Biography
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...
Recent Scopus Publications
- Composite machine learning models for forecasting UCS of stabilized lateritic soils
- Predicting cement brick performance using Multilayer Perceptron Neural Networks
- Prediction of natural frequencies in cracked circular hingeless arches using machine learning approaches
- Optimising model selection for the morphometric analysis of a drainage basin
- Prediction of concrete strength using multilayer perceptron neural network-based utilizing sustainable waste materials
Links
- ORCID https://orcid.org/0000-0003-2160-4551
- Google Scholar https://scholar.google.com/citations?user=uoAAAAJ&hl
- Scopus https://www.scopus.com/authid/detail.uri?authorId=57279535900
- Personal Weblink https://sites.google.com/view/laxminarayana/home