AI CIVIL ENGINEERING BRIDGING INFRASTRUCTURE is a M.Tech project topic for Civil Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
AI CIVIL ENGINEERING BRIDGING INFRASTRUCTURE Project Details
| Abstract |
This research looks at how to add artificial intelligence (AI) to the everyday management of civil infrastructure. It focuses on three areas: keeping roads in good shape, fixing bridges, and inspecting structures. The study matches new AI tools with the engineering practices engineers already use—project management plans, detailed inspection steps, and quality‑assurance checks. By doing that, it offers a clear path for public works and transportation agencies to start using smart systems. A major part of the work adds real‑time tracking of embodied carbon. This helps engineers make better choices and meet sustainability goals while they repair assets. The proposed framework shows that engineers can guide machine‑learning and data‑analysis tools
without needing deep software‑development skills. Case studies and method‑focused evaluations demonstrate a repeatable way to modernize infrastructure management. The approach speeds up maintenance tasks and makes structural‑health monitoring more accurate. Overall, the guidance helps build decision‑support systems that balance structural performance, life‑cycle costs, and carbon‑footprint reduction.
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| Reference Paper |
AI AND CIVIL ENGINEERING: BRIDGING INFRASTRUCTURE AND INTELLIGENT |
| Domain |
Civil Engineering |
| Sub-Domain |
Transportation & Urban / Pavement Engineering / Pavement Rehabilitation |
| PDF Download |
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| Get Help |
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