Cyber-Physical Seismic Resilience: Integrating Digital Twins and Machine Learning for Performance-Based Earthquake Engineering of CLT and Masonry Structures in High-Seismicity Regions — Lessons from the USA, Japan, and Proposals for Peru
This study proposes a transformative Performance-Based Earthquake Engineering framework that integrates Digital Twins and Machine Learning to enhance the seismic resilience of Cross-Laminated Timber and masonry structures in Peru by benchmarking against US and Japanese practices, introducing novel analytical tools for uncertainty reduction, and bridging the gap between construction-phase modeling and real-time operational monitoring.