Published Date : 13/02/2025
OXFORD, Miss.
– Artificial intelligence (AI) is transforming the way we build and maintain infrastructure, making it more resilient and sustainable.
This is particularly evident in the groundbreaking work being done by Dr.
Ali Behnood, an assistant professor of civil engineering at the University of Mississippi.
With over a decade of experience, Behnood has published more than 60 research articles on the role of AI in sustainable infrastructure.
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Q: What is the primary goal of the NextGen Infrastructure Lab?
A: The primary goal of the NextGen Infrastructure Lab is to advance to the next generation of sustainable and resilient infrastructure by optimizing the use of recycled materials, industrial by-products, renewable resources, and alternative sustainable materials in construction.
Q: How does AI help in predicting moisture damage in asphalt pavements?
A: AI algorithms can predict moisture damage in asphalt pavements with high accuracy by evaluating the effectiveness of different mixtures containing reclaimed asphalt pavement (RAP) materials. This helps in optimizing material selection and predicting failure probability in the pavement's lifecycle.
Q: What are the potential cost savings from optimizing asphalt mixtures using AI?
A: Optimizing asphalt mixtures using AI can significantly reduce maintenance costs and extend the lifespan of roads, potentially saving state and local governments billions of dollars in road maintenance and repairs.
Q: How can AI be used in disaster resilience and risk management?
A: AI can play a crucial role in disaster resilience and risk management by identifying optimized routes for evacuation, ensuring efficiency and safety during natural hazards and disasters.
Q: What are some other applications of AI in infrastructure?
A: AI can be used in various aspects of infrastructure, including designing better bridges and roads, waste management, and monitoring railroads for faults or breakages. It can also help in optimizing the use of sustainable materials and reducing environmental impact.