Name: Mayank Gangwar

Enrolment No.: D22081

Admission year:

Research Interests:

I work on multi-hazard vulnerability assessment of RC bridges and infrastructure. My goal is to assess the impact of hazards on structures and provide efficient mitigation methods to make these structures safer and resilient.

Supervisor:

Education

Sl No. Degree University Year
1 M.Tech. National Institute of Technology Meghalaya, India 2022

Journal Article

1 Gangwar, M., & Shekhar, S. (2025). Seismic resilience assessment of deteriorating riverine bridges incorporating historical climatic data. Structures, 82(), . https://doi.org/10.1016/j.istruc.2025.110560 View More
2 Gangwar, M., & Shekhar, S. (2025). Seismic resilience of deteriorating bridges under changing climatic conditions. Engineering Structures, 324(), . https://doi.org/10.1016/j.engstruct.2024.119355 View More
3 Gangwar, M., & Shekhar, S. (2025). Machine learning-based prediction of failure modes and damage thresholds of corroded bridge piers. Structures, 79(109483), . https://doi.org/10.1016/j.istruc.2025.109483 View More

Book

1 Kumar R, V., Gangwar, M., & Shekhar, S. (2023). Influence of Mainshock Aftershock Sequences on the Seismic Vulnerability of Bridges in India. Springer Nature Singapore View More
2 Sharma, D., Gangwar, M., & Shekhar, S. (2026). Machine Learning-Based Flood Vulnerability Assessment of Riverine Bridges Incorporating Scouring Effects. Springer Nature Singapore View More