Pranjal Mandhaniya

About

I have an advanced knowledge of finite element simulations using ABAQUS. While doing so, I was exposed to Python for data extraction, batch simulation automation and applications of AI-ML framework. Please check out my GitHub profile for proof. Further, I have completed the data science course certificates by John-Hopkins University from Coursera.

Research

My research interests are railway engineering and transportation geotechnics. However, I will be flexible in other closely related engineering objectives such as constitutive modeling and experimental design.

The focus of my research has been finite element simulations using ABAQUS of moving loads on the rail track. However, I have worked on several consultancies related to slope stability analysis as well as geotechnical remodeling of waterways for increased capacity. I have also designed courses as a part of the faculty development program in various institutions in India.

I have a strong background in python for data extraction and analysis from ABAQUS, including automation of simulations. I have used PBS-based high-performance computing for my research as well, which was provided by IIT Delhi. I have used different Fortran subroutines with ABAQUS, and I possess the foundational knowledge of creating material models using this knowledge. I am currently working in the industry as a geotechnical design engineer at Amberg Engineering AG. Thus, I am gaining constant expertise in both academics and industry.

Publications

Journals

P. Mandhaniya, J. T. Shahu, and S. Chandra, "Numerical analysis on combinations of geosynthetically reinforced earth foundations for high-speed rail transportation," Structures, vol. 43, pp. 738–751, 2022. doi: 10.1016/j.istruc.2022.07.003.
P. Mandhaniya, J. T. Shahu, and S. Chandra, "An assessment of dynamic impact factors for ballasted track using finite element method and multivariate regression," Journal of Vibration Engineering & Technologies, pp. 1–15, 2022. doi: 10.1007/s42417-022-00507-x.
P. Mandhaniya, J. Shahu, and S. Chandra, "Analysis of dynamic response of ballasted rail track under a moving load to determine the critical speed of motion," Journal of Vibration Engineering & Technologies, pp. 1–17, 2022. doi: 10.1007/s42417-022-00741-3.
P. Mandhaniya, J. T. Shahu, and S. Chandra, "A Parametric Study of Embedded Slab Track System for High-Speed Applications on Cohesive Subgrade," Transportation Infrastructure Geotechnology, pp. 1–16, 2021. doi: 10.1007/s40515-021-00206-2.
B. A. Malik, P. Mandhaniya, M. Y. Shah, and V. Sawant, "Experimental and numerical study on reinforcement of foundations using micropiles as a retrofitting measure," Arabian Journal for Science and Engineering, pp. 1–11, 2022. doi: 10.1007/s13369-022-07454-5.
I. R. Sheikh, P. Mandhaniya, and M. Y. Shah, "A Parametric Study on Pavement with Geocell Reinforced Rock Quarry Waste Base on Dredged Soil Subgrade," International Journal of Geosynthetics and Ground Engineering, vol. 7, no. 2, pp. 1–11, 2021. doi: 10.1007/s40891-021-00275-w.

Book Chapters and Conferences

P. Mandhaniya, M. Bakare, and J. T. Shahu, "Laying rigid large diameter buried pipelines: A case study of different approaches," in 7th International Conference on Civil Structural and Transportation Engineering, Niagara Falls, Canada, Springer Singapore, 2022. doi: 10.11159/iccste22.211.
P. Mandhaniya, J. T. Shahu, and M. Bakare, "Numerical study of dynamic loading on ballastless railway tracks," in Lecture Notes in Civil Engineering, Springer Singapore, 2021, pp. 327–336. doi: 10.1007/978-981-15-9976-7_29.
Y. Grover, P. Mandhaniya, and J. T. Shahu, "Slope stability analysis for an airport runway in north-east india," in Proceedings of the Indian Geotechnical Conference 2019, 2021. doi: 10.1007/978-981-33-6444-8_41.
P. Mandhaniya, S. Chandra, and J. T. Shahu, "Finite element analysis of moving load on ballastless rail track," in Geotechnical Characterization and Modelling, 2020. doi: 10.1007/978-981-15-6086-6_66.

Outreach

2023

Academic lecture

Mandhaniya, Pranjal; Olsson, Nils Olof Emanuel; Larsen, Anders S.; Skjøren, Caroline. (2023) Application of deep learning methods towards delay prediction of trains, and comparison with existing model. KTH The 12th Annual Swedish Transport Research Conference - STRC 2023 , Stockholm 2023-10-16 - 2023-10-17

Språkvelger

Pranjal Mandhaniya