AK
Aayush Kumar
Also known as: Aayush Yadav
Integral University, Madan Mohan Malaviya University of Technology, Gautam Buddha University, Public Works Department, Board of Technical Education Lucknow BTEUP
About
Aayush Yadav is a highly motivated Ph.D. student in Civil Engineering, specializing in Rock Engineering and Geotechnical Engineering with a focus on Tunnel Engineering and Underground Space Technologies. My research revolves around addressing challenges and driving innovations in rock mechanics, geotechnical analysis, and the design of tunnels and underground structures. Portfolio: https://sites.google.com/view/info-aayush
Employment
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Integral University Assistant Professor2025 - Present
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Madan Mohan Malaviya University of Technology Research Associate2022 - 2025
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Public Works Department Internship2017 - 2017
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Public Works Department Intern2014 - 2014
Education
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Madan Mohan Malaviya University of Technology Ph.D. in Geotechnical Engineering2022 - 2025
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Madan Mohan Malaviya University of Technology M.Tech2019 - 2021
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Gautam Buddha University M. Tech Structural Engineering, Skipped2019 - 2019
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Board of Technical Education Lucknow BTEUP Diploma In Civil Engineering2013 - 2016
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State Board Of Secondary Education Matriculation2012 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Twin tunnel stability and support requirements: Insights from limit analysis Save
- Performance-based tunnel lining design and recommendations for horseshoe tunnels in rock mass using limit analysis Save
- Numerical Investigation and Design Recommendations for Steel Linings in Single and Multiple Tunnels Under Surcharge Loading Save
- Stability Evaluation of Unlined Circular Tunnels in Sloping Rock Terrain Using Adaptive Finite Element Limit Analysis Save
- Influence of Eccentrically Inclined Loading on Foundations Above Tunnels: A Combined Finite Element Analysis and Machine Learning Approach Save
- Interplay of Tunnel Geometry and Shallow Foundation Stability in Rock: Comparative Insights into Failure Modes Save
- Integration of AFELA and machine learning for analysis of shallow foundation over horseshoe tunnel in rock mass Save
- Advanced Finite Element Limit Analysis and Machine Learning for Assessing the Stability of Square Tunnels in Rock Slope Save
- Evaluating the impact of eccentric loading on strip footing above horseshoe tunnels in rock mass using adaptive finite element limit analysis and machine learning Save
- Assessing foundation behaviour under complex loading near tunnels Save