Neuromorphic Computing in Civil Engineering: Theoretical Framework

This chapter introduces the revolutionary integration of neuromorphic computing into civil engineering, marking a significant shift toward intelligent and adaptive infrastructure capable of addressing modern urban challenges. It outlines the theoretical framework that supports the application of neuromorphic computing to enhance urban resilience and efficiency. Exploring potential application areas, this chapter highlights how neuromorphic systems can transform infrastructure management—enhancing capabilities in structural health monitoring, predictive maintenance, and material optimization, and contributing to sustainable urban development. By leveraging real-time data processing and advanced learning algorithms, neuromorphic computing offers promising solutions to optimize resource use and improve urban planning, promising a new era of smart, resilient cities.