Abhinav Gupta
Education
Ph.D. Structures and Mechanics North Carolina State University 1995
M.E. Earthquake Engineering Indian Institute of Technology Roorkee 1991
B.E. Civil Engineering Indian Institute of Technology Roorkee 1988
Area(s) of Expertise
I have conducted research at the intersection of four interdisciplinary domains: structural engineering and mechanics, energy infrastructure, construction management, and computational / data science. Presently, my group works on using AI and deep learning approaches for developing the Digital Twin technology in the areas of structural health monitoring and construction management using reality capture. Application have focused on modeling degradation due to Alkali-Silica Reactor (ASR) and Chloride diffusion in concrete structures as well as flow assisted corrosion in nuclear piping systems. We also work on developing efficient Bayesian approaches for probabilistic risk assessment (PRA) and model updating.
Publications
- AI-driven diagnostic digital twin demonstration for condition monitoring in nuclear piping systems , Journal of Infrastructure Intelligence and Resilience (2026)
- Alchemy: A Model-Based Approach for 2D to 3D Autonomous Nuclear System Design , SSRN Electronic Journal (2026)
- Alchemy: A model-based approach for 2D to 3D autonomous nuclear system design , Nuclear Engineering and Design (2026)
- Enhancing Construction Requirements Documents Analytics through Integrating Ontology and Large Language Model , Journal of Management in Engineering (2026)
- Automation in digital analysis solutions for nuclear design-construction integration using BIM-FEM interoperability , International Journal of Pressure Vessels and Piping (2025)
- Digital engineering workflow for effective management of ITAAC using text analytics and 4D BIM concept for construction of nuclear power plants , Nuclear Engineering and Design (2025)
- Enhancing computational efficiency of Bayesian Inference by identifying the intensity measure range to update seismic fragility curves , Nuclear Engineering and Design (2025)
- False sensor-data detection strategy for post-hazard condition monitoring of nuclear systems using statistical approaches and long short-term memory , International Journal of Pressure Vessels and Piping (2025)
- Physics-trained artificial intelligence framework to detect chloride induced degradation in concrete , Journal of Infrastructure Intelligence and Resilience (2025)
- Simulating experimentally observed nonlinear response of large-scale concrete structure to understand the selection of damping: A case of minor nonlinearities , Nuclear Engineering and Design (2025)